Tag: Clinical-Nursing

  • Vivian is an 88-year-old Caucasian female brought into the office by her caregiver. Complains of dark, cloudy, foul-smelling urine, with new confusion and night-time hallucinations

    Vivian is an 88-year-old Caucasian female brought into the office by her caregiver. Complains of dark, cloudy, foul-smelling urine, with new confusion and night-time hallucinations

    Case # 3

     
    Case Description

    Vivian, an 88-year-old Caucasian female presented with dark, cloudy, foul-smelling urine, confusion, night sleep disturbances, and hallucinations of spiders crawling under the bed at night followed by poor oral intake, lethargy, and agitation the next morning. Vivan also reported mild fever, lower abdominal pain, urinary frequency, and dysuria and had two suspected UTI treatments over the past 12 months. She has a history of hypertension, stage 2 of chronic kidney disease, diverticular disease, osteoporosis, previous hip fracture, and vesicovaginal fistula. She lives with a caregiver following the death of her husband three years ago. Physical examination indicated tachycardia with a pulse rate of 109, cloudy urine with leukocytosis, and positive nitrates pointing at a possible UTI associated with delirium.

    Subjective Data.

    Data Provided

    Symptoms

    Dark, cloudy, and foul-smelling urine

    Confusion

    Hallucinations at night

    Mild fever

    Lower abdominal pain

    Urinary frequency and dysuria

    Medical History

    Hypertension, stage 2 chronic kidney disease, diverticular disease, and vesicovaginal fistula

    Osteoporosis

    Two suspected UTIs in the past 12 months

    Medications

    Olmesartan, Alendronate, and vitamin D3

    Social History

    Widowed, stays with a 24-hour caregiver, and has no history of alcohol use or smoking

    Objective Data

     

    Data Provided

    Vitals:
    Blood pressure 110/70, Pulse: 109, Respiration Rate: 17, Temperature: 99.0
    0
    F, BMI 22.

    General: Restless although oriented to place and person

    Cardiovascular: Tachycardic with no murmurs or extra heart sounds

    Respiratory: the lungs are clear on auscultation. The abdomen is soft and non-tender

    Genitourinary: +++ leukocytes, pH 6.0, and positive nitrites

    There is no notable edema of the extremities.

    Diagnostic Tests, Procedures, Laboratory Work

     

    Diagnostic Tests and Rationale

    Complete blood count for WBC count to assess leukocytosis

    A basic metabolic panel (BMP) assesses electrolyte imbalance and renal function in stage 2 CKD

    Post-void residual (PVR) scan is used to rule out urinary retention, which is common in the elderly population. According to Nuotio et al. (2019), PVR is common in women with hip fractures. Vivian has a history of hip fracture thus a possible risk factor for elevated PVR.

    Urine culture and sensitivity confirms urinary tract infection (UTI), and isolates the causative organism and the appropriate antibiotic (Mehboob et al., 2021).

    If delirium persists, CT/MRI rules out possible stroke or brain abnormalities

    Differential diagnoses

     

    Urinary Tract infection UTI-induced delirium. Vivan presented with classical symptoms of UTI such as urinary frequency, dark, cloudy, and foul-smelling urine accompanied by delirium and hallucinations. According to Pipili and Grapsa (2019) cited UTIs as the main cause of delirium in elderly patients.

    Vesicovaginal fistula associated UTIs. The recurrent episodes of UTIs in the past 12 months and the foul-smelling urine are indicative of UTI predisposed from the fistula. Mourad and Higazy (2023) noted fistulas as a major predisposing factor to chronic UTIs.

    Urosepsis is evidenced from fever, tachycardia, and alteration in mental status. van Lelyveld-Haas et al. (2022) noted that sepsis in elderly can present atypically.

    Medications, treatments, or other interventions for each differential

    UTI-induced delirium can be treated with oral nitrofurantoin 100mg twice daily or use Fosfomycin if resistant. According to van Lelyveld-Haas et al. (2022), UTI management prevents nephrotoxicity in chronic kidney disease.

    Vesicovaginal fistula requires referral to a urologist for surgical repair. Surgical repair of genitourinary fistulas is crucial in preventing recurrent UTIs (Gonzales-Alabastro et al., 2023).

    Urosepsis can be confirmed by positive culture results and can be managed by intravenous fluids and ceftriaxone. Treatment focuses on covering gram-negative bacteria.

    Key

    Social Determinants of Health (SDoH)

    Isolation or loneliness predisposes to the risk of delirium (Tait, 2022). The patient is a widow living with a full-time caregiver thus feeling isolated and lonely.

    Mobility: The patient had a prior hip fracture which increases fall risk.

    Care access: The patient needs regular monitoring for UTIs secondary to the fistula.

    Collaborative care referrals and patient education needs

     

    Relevant Referrals

    Urologist to assess the fistula for repair

    Geriatrician to manage delirium management

    Physiotherapy to prevent fall incidences

    Patient Education such as maintaining

    hydration status to prevent UTIs,

    Timely identification of delirium symptoms such as confusion

    Individual hygiene such as proper perineal care to reduce the risk of UTI prevalence.

    Additional Data Required

    Hydration status, i.e., fluid intake and signs of dehydration

    Cognition: mental status before the illness and any history of dementia

    Recent history of antibiotic uses: can predispose to resistance and recurrent UTIs

    Bowel habits such as constipation exacerbate UTI symptoms

    Risk of delirium from mobility changes and recent falls

     
    Additional Data Required

    Neurological examination to evaluate possible delirium or dementia.

    Post-void urine to rule out urinary retention

    Urine culture and sensitivity to identify the specific causative organism and the appropriate antibiotic for management

    Vivian is an 88-year-old Caucasian female brought into the office by her caregiver. Complains of dark, cloudy, foul-smelling urine, with new confusion and night-time hallucinations

     

    References

    Gonzales-Alabastro, C., Goyette, B., & Kielb, S. J. (2023). Urethrovaginal Fistula Repair. In 
    Female Genitourinary and Pelvic Floor Reconstruction
     (pp. 693-705). Cham: Springer International Publishing.
    https://doi.org/10.1007/978-3-031-19598-3_41

    Mehboob, M., Hakim, M., Ullah, O., Lodhi, S. S., Anees, M., Khalil, I., & Shuja, M. N. (2021). Identification and characterization of urinary tract infectious bacteria and its antibiotic sensitivity. 
    BioScientific Review
    , 
    3
    (3), 43-62.
    https://doi.org/10.32350/BSR.0303.04

    Mourad, M. S., & Higazy, A. M. G. A. (2023). Fistula. In 
    Handbook of Neurourology: Theory and Practice
     (pp. 1-13). Singapore: Springer Nature Singapore.
    https://doi.org/10.1007/978-981-16-7939-1_84-1
      Vivian is an 88-year-old Caucasian female brought into the office by her caregiver. Complains of dark, cloudy, foul-smelling urine, with new confusion and night-time hallucinations

    Nuotio, M. S., Luukkaala, T., & Tammela, T. (2019). Elevated post-void residual volume in a geriatric post-hip fracture assessment in women-associated factors and risk of mortality. 
    Aging Clinical and Experimental Research
    , 
    31
    , 75-83.
    https://doi.org/10.1007/s40520-018-0946-5

    Petrosillo, N., Granata, G., Boyle, B., Doyle, M. M., Pinchera, B., & Taglietti, F. (2020). Preventing sepsis development in complicated urinary tract infections. 
    Expert Review of Anti-infective Therapy
    , 
    18
    (1), 47-61.
    https://doi.org/10.1080/14787210.2020.1700794

    Pipili, C., & Grapsa, E. (2019). Urinary Tract Infections in the Elderly. 
    Clinical Nephrogeriatrics: An Evidence-Based Guide
    , 87-101.
    https://doi.org/10.1007/978-3-030-18711-8_6

    Tait, D. (2022). The patient with delirium. 
    Tait D, Williams C, Barton D, et al. Acute and Critical Care in Adult Nursing
    , 
    3
    , 209-226.
    https://www.torrossa.com/en/resources/an/5282165#page=220

    van Lelyveld-Haas, L., de Lange, D., & Martin-Loeches, I. (2022). Sepsis in older adults. In 
    The very old critically ill patients
     (pp. 463-483). Cham: Springer International Publishing.
    https://doi.org/10.1007/978-3-030-94133-8_30
      Vivian is an 88-year-old Caucasian female brought into the office by her caregiver. Complains of dark, cloudy, foul-smelling urine, with new confusion and night-time hallucinations

  • Pearson’s r in BlueSky Statistics Correlation Analysis Example

    Pearson’s r in BlueSky Statistics Correlation Analysis Example’

    This will cover Week 10 (Chapter 11: Correlation) Application Lesson videos. Students will have one opportunity and 24 hours to complete the 10 questions. The must be completed in one sitting.

    Students must use Excel and BlueSky Statistics to complete this multiple-choice assessment.

    Download this pre-populated Excel workbook file to complete your calculations.

     

    You are interested in the relationship between obesity and renal disease so you design a project with 20 participants to assess the impact of weight loss on key renal parameters, particularly proteinuria. Specifically, you seek to find out if significant reductions in body mass index (BMI) through weight loss interventions could lead to improved renal outcomes, providing valuable insights into potential non-pharmacological strategies for managing renal disease and potentially preventing its progression to end-stage renal disease. Use the data attached to calculate the correlation between BMI and proteinuria using Pearson’s r in BlueSky Statistics for these 20 participants. Alpha is set at .05.

    (NOTE: this data is contrived and randomly generated. It may or may not be realistic.)
     

    BMI and proteinuria for 20 participants is provided in the spreadsheet.

     

    In the correlation between BMI and Proteinuria (Prot) the Pearson’s r is:

    Group of answer choices

    0.71

    0.7478

    0.70

    0.6969

     

    What is the direction of the association?

    Group of answer choices

    Negative

    No way to tell from the data

    Positive

    Neutral

     

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    What is the strength of the association?

    Group of answer choices

     

    Strong

     

    No way to tell from the data

     

    Moderate

     

    Weak

     

     

    When BMI increases…

    Group of answer choices

     

    Proteinuria increases

     

    No way to tell from the data

     

    Proteinuria decreases

     

    Proteinuria remains neutral

     

     

    What is the p value?

    Group of answer choices

     

    There is no p value in correlation statistics

     

    0.0002

     

    0.0006

     

    0.05

     

     

    The result is statistically significant. (True or False)

    Group of answer choices

     

    True

     

    False

     

     

     

    The results show a:

    Group of answer choices

     

    Small effect

     

    No way to tell the effect from the data

     

    Medium effect

     

    Large effect

     

     

    The effect size influences the sample size needed to achieve statistical significance. (True or False)

    Group of answer choices

     

    True

     

    False

     

     

    What is the percent of variance?

    Group of answer choices

     

    0.5592

     

    0.5

     

    No way to tell from the data

     

    0.4856

     

     

    Based on the percent of variance, we know that:

    Group of answer choices

     

    55.92% of the percentage of change in proteinuria is accounted for by the BMI

     

    48.56% of the percentage of change in proteinuria is accounted for by the BMI

     

    50% of the percentage of change in proteinuria is accounted for by the BMI

     

    Cannot calculate percent of variance from the data

     

    BMI

    Prot

    age

    fasting glucose

    random glucose

    35

    152

    57

    134

    209

    26

    140

    49

    98

    169

    33

    142

    62

    150

    184

    28

    140

    53

    117

    176

    33

    152

    46

    126

    193

    30

    150

    59

    112

    201

    36

    160

    68

    105

    195

    35

    162

    50

    122

    173

    28

    160

    56

    129

    182

    35

    170

    45

    116

    164

    38

    177

    52

    123

    185

    37

    180

    71

    137

    177

    33

    182

    38

    108

    212

    38

    200

    60

    127

    168

    41

    212

    43

    119

    174

    32

    180

    75

    143

    198

    39

    192

    35

    97

    179

    35

    200

    54

    125

    204

    34

    151

    56

    133

    208

    36

    153

    58

    135

    210

     

    Pearson’s r in BlueSky Statistics Correlation Analysis Example

     

     

    Exploring the Relationship Between BMI and Proteinuria: A Correlation Analysis

     

    You are interested in the relationship between obesity and renal disease so you design a project with 20 participants to assess the impact of weight loss on key renal parameters, particularly proteinuria. Specifically, you seek to find out if significant reductions in body mass index (BMI) through weight loss interventions could lead to improved renal outcomes, providing valuable insights into potential non-pharmacological strategies for managing renal disease and potentially preventing its progression to end-stage renal disease. Use the data attached to calculate the correlation between BMI and proteinuria using Pearson’s r in BlueSky Statistics for these 20 participants. Alpha is set at .05.

    (NOTE: this data is contrived and randomly generated. It may or may not be realistic.)
     

    BMI and proteinuria for 20 participants is provided in the spreadsheet.

    In the correlation between BMI and Proteinuria (Prot) the Pearson’s r is:

    Group of answer choices

    0.71

    0.7478

    0.70

    0.6969

    What is the direction of the association?

    Group of answer choices

    Negative

    No way to tell from the data

    Positive

    Neutral

    What is the strength of the association?

    Group of answer choices

    Strong
    (since 0.6969 is close to 0.7)

    No way to tell from the data

    Moderate

    Weak

     

     

    When BMI increases…

    Group of answer choices

    Proteinuria increases

    No way to tell from the data

    Proteinuria decreases

    Proteinuria remains neutral

    What is the p value?

    Group of answer choices

    There is no p value in correlation statistics

    0.0002

    0.0006

    0.05

    The result is statistically significant. (True or False)

    Group of answer choices

    True
    (p-value < 0.05) False The results show a: Group of answer choices Small effect No way to tell the effect from the data Medium effect Large effect The effect size influences the sample size needed to achieve statistical significance. (True or False) Group of answer choices True False     What is the percent of variance? Group of answer choices 0.5592 0.5 No way to tell from the data 0.4856 Based on the percent of variance, we know that: Group of answer choices 55.92% of the percentage of change in proteinuria is accounted for by the BMI 48.56% of the percentage of change in proteinuria is accounted for by the BMI 50% of the percentage of change in proteinuria is accounted for by the BMI Cannot calculate percent of variance from the data BMI Prot age fasting glucose random glucose 35 152 57 134 209 26 140 49 98 169 33 142 62 150 184 28 140 53 117 176 33 152 46 126 193 30 150 59 112 201 36 160 68 105 195 35 162 50 122 173 28 160 56 129 182 35 170 45 116 164 38 177 52 123 185 37 180 71 137 177 33 182 38 108 212 38 200 60 127 168 41 212 43 119 174 32 180 75 143 198 39 192 35 97 179 35 200 54 125 204 34 151 56 133 208 36 153 58 135 210 Pearson’s r value. 0.69685 Pearson’s r in BlueSky Statistics Correlation Analysis Example

  • Healthcare Information Technology Trends discussion post with response

    Healthcare Information Technology Trends discussion post with response

    Healthcare Information Technology Trends

    Introduction

    The use of technology in healthcare has revolutionized patient care provision worldwide. Technological innovations, from electronic health records that streamline documentation to telemedicine systems that reach remote areas, have altered healthcare operations. For the patient, such innovations mean improved diagnostic accuracy, personalized treatment regimens, and greater participation in their health process. For the practitioner, they mean improved clinical decision support, streamlined workflow, and enhanced communication. Technology facilitates data-driven policy-making, resource optimization, and cost containment at a system level. However, other concerns, such as the costs of implementation, digital literacy, and data usage, should be considered in light of these new trends. This paper aims to identify technological trends in healthcare, discuss the advantages and disadvantages that may result from their usage, and what other technologies may change the sphere of healthcare services.

    The Technology Healthcare Trends

    EHRs and RPM are two new trends utilized in managing health information. EHRs contain records of patient details, diagnoses, test results, medications, and recommended treatments. These systems facilitate the easy exchange of information between providers, informing data-driven decisions with embedded analytics packages that identify patterns and treatment effectiveness (Upadhyay & Hu, 2022). RPM technologies collect real-time patient information outside the traditional clinical setting through wearable devices, smart sensors, and mobile applications. These systems monitor vital signs, medication compliance, and disease- specific indicators, transmitting data to healthcare providers for analysis. Advanced algorithms can detect concerning trends, triggering alerts for early intervention. Together, these technologies facilitate unparalleled data continuity, redesigning episodic care in continuous health management while creating vast datasets that drive predictive analytics, precision medicine, and population health initiatives.

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    The Risks Associated with the Trends

    The proliferation of EHRs and Remote Patient Monitoring systems creates severe privacy and security threats in healthcare. As Shojaei et al. (2024) argue, these technologies generate unprecedented volumes of sensitive health data, which makes them attractive targets for cyberattacks. Data breaches can expose patients’ confidential data, exposing them to identity theft, insurance fraud, and psychological damage. Healthcare organizations also face significant financial penalties for HIPAA violations, with the average cost of settlements reaching $25,000 per violation category per year. (The HIPAA Journal). Beyond regulatory concerns, unauthorized access undermines patient-provider trust, potentially discouraging the sharing of sensitive information necessary for adequate care. The extended usage of these trends also brings security problems because third-party vendors and clouds have numerous access points. They expose further the improved identification of other significant identity categories that are not only concerned with protection, although this raises issues of consent and ownership in the current healthcare systems Healthcare Information Technology Trends discussion post with response.

    Benefits and Risks Associated With Data Safety, Legislation, and Patient Care

    Health technologies like EHRs and RPM offer substantial benefits for data security through standardized encryption procedures and access controls that reduce documentation errors and facilitate care coordination (Paul et al., 2023). Recent policies, including the 21st Century Cures Act, have accelerated interoperability standards while strengthening patients’ rights to access their health data, supporting transparency and engagement. However, the significant threats associated with the privacy and safety of patient data appear to be evident with these trends. Regulatory requirements take time to integrate new technologies that create legal ambiguities that challenge healthcare organizations’ compliance. Also, multiple peculiarities of data protection legislation in different countries raise jurisdiction concerns in the scope of cross- border healthcare services and research collaboration. However, patient care is threatened because the decision-support tools embedded in these systems could compromise efficiency and effectiveness should they be trained on non-diverse datasets. Furthermore, its use may hinder the development of a therapeutic alliance inherent in the therapeutic process, which has implications for patient harm,, particularly those with low technological proficiency.

    Promising Trends that will Impact Healthcare Technology in Nursing Practice

    Artificial intelligence and machine learning that reconstruct the clinical methods and effects are significant technologies in the field of nursing practice. Even before human nurses identify it, deterioration patterns can be observed through the help of predictive analytics, leading to proactive work rather than working reactively in important critical care structures (Bajwa et al., 2021). Besides, depending on the data obtained from such sources, EHR data and wearable sensor-based algorithms can offer individualized care plans to ease the decision- making burden on nurses. The above technologies also support voice-natural language processing for automatic documentation. According to Theihn et al. (2021), such technologies can free 30-35% of the nursing work time on paperwork. Facing a problem of shortages and high turnover rates globally, AI assists in the organization of the nurse-to-patient ratio and staff assignments based on patient acuity. Furthermore, other uses of machine learning in clinical learning include simulated training designed to reduce the learning curve amongst nursing students and the likelihood of initial and interim assessments throughout their career to enhance that the EBP is the core foundation for the nursing practice.

    Impact of the Trend on Patient Outcomes and Efficiency

    Overall, AI and machine learning technologies have the potential to bring about positive changes in different healthcare systems. Regarding patient outcomes, studies have demonstrated that early detection using the early warning systems facilitated by AI decreases cardiac arrest and ICU mortality by 6-12 hours before the identification by traditional methods (Alamgir et al., 2021). This is achieved by automating clinical documentation and pushing nursing documentation through AI transcripts. Regarding data management, machine learning algorithms give prognostic results on using NLP to predict the social determinants of health in narrative text such as clinical notes. In addition, the effective use of the inpatient unit beds in the emergency department and the shortening of the time a patient spends at the facility is made possible by the advanced predictive algorithms in the system. Some of these concrete achievements are easy to comprehend as they clarify how AI is applied in reality and on what theoretical basis this application is based.

    Conclusion

    In conclusion, the modern trends in healthcare, such as EHRs and RPM, are not only advanced technologies but effective systems that have altered the process of data collection and utilization in the medical field. Despite the privacy and security challenges that come with these technologies in health, the gains of converting care and accessing patients are enormous. AI, especially ML, can potentially be beneficial in early intervention, simultaneous increase in efficiency through automation, and dealing with mass data. Altogether, the potential of future technology in improving healthcare advancement and subsequent care remains fragile on this middle ground between health Informatics, data protective cover, and interjection.

    References

    Alamgir, A., Mousa, O., & Shah, Z. (2021). Artificial Intelligence in predicting cardiac arrest: A scoping review. JMIR Medical Informatics, 9(12). https://doi.org/10.2196/30798

    Bajwa, J., Munir, U., Nori, A., & Williams, B. (2021). Artificial Intelligence in healthcare: Transforming the practice of medicine. Future Healthcare Journal, 8(2). https://doi.org/10.7861/fhj.2021-0095

    The HIPAA Journal. (n.d.). HIPAA violation fines – updated for 2024. https://www.hipaajournal.com/hipaa-violation-fines/Links to an external site.

    Paul, M., Maglaras, L., Ferrag, M. A., & Almomani, I. (2023). Digitization of Healthcare Sector: A Study on privacy and security concerns. ICT Express, 9(4), 571–588. https://doi.org/10.1016/j.icte.2023.02.007

    Shojaei, P., Vlahu-Gjorgievska, E., & Chow, Y.-W. (2024). Security and privacy of technologies in Health Information Systems: A systematic literature review. Computers, 13(2), 41. https://doi.org/10.3390/computers13020041

    Upadhyay, S., & Hu, H. (2022). A qualitative analysis of the impact of electronic health records (EHR) on Healthcare Quality and safety: Clinicians’ lived experiences. Health Services Insights, 15. https://doi.org/10.1177/11786329211070722

    Healthcare Information Technology Trends discussion post with response

    Healthcare Information Technology Trends (Discussion Response)

    Your discussion on HIT trends offers a detailed and comprehensive overview of the changing landscape of digital health innovations. In agreement with your point, the integration of EHRs and RPM technologies has undeniably enhanced patient care through the improvement of decision-making, data-driven decisions, data continuity, and care coordination. As identified by Upadhyay & Hu (2022), integration of EHRs has helped in streamlining clinical workflows which also supports data-driven insights that overall result in improved or better treatment outcomes. RPM further helps to bridge the gap in care delivery by supporting real-time patient monitoring beyond hospital or traditional healthcare settings.

    Additionally, your post rightly highlights the risks that are associated with these technological advancements i.e. cybersecurity threats. Shojaei et al. (2024) in his article emphasized that the ever-growing digital footprint of health data makes it an obvious or attractive target for cybercriminals, hence posing a threat to organization efforts for compliance with set policies as well as patient confidentiality. Successfully addressing these concerns demands the adoption and installation of access control mechanisms, robust encryption technologies, and continuous training on security matters for healthcare workers.

    The mention and inclusion of Artificial intelligence and machine learning as part of trending technologies and their enhancement of nursing practice is compelling. Bajwa et al. (2021) denoted in his research article that, AI-driven predictive analytics can help identify deterioration patterns which in turn allows healthcare professionals to timely implement effective interventions that overall improve patient outcomes. Additionally, automating documentation via natural language processing can help lower administrative burdens and mitigate clinical burnout.

    While advancements in technology face challenges regarding their adoption, their potential and ability to change or revolutionize healthcare patient safety and efficiency is undeniable. It is in turn key for future efforts and input in technology use to focus on establishing the right balance between innovations and robust data security measures, while ensuring equal access by patients and populations to the technologies.

    References

    Bajwa, J., Munir, U., Nori, A., & Williams, B. (2021). Artificial intelligence in healthcare: Transforming the practice of medicine.
    Future Healthcare Journal
    ,
    8
    (2), 188–194. NCBI.
    https://doi.org/10.7861/fhj.2021-0095

    Shojaei, P., Gjorgievska, E. V., & Chow, Y.-W. (2024). Security and Privacy of Technologies in Health Information Systems: A Systematic Literature Review.
    Computers
    ,
    13
    (2).
    https://doi.org/10.3390/computers13020041

    Upadhyay, S., & Hu, H. (2022). A qualitative analysis of the impact of electronic health records (EHR) on healthcare quality and safety: Clinicians’ lived experiences.
    Health Services Insights
    ,
    15
    (1), 1–7.
    https://doi.org/10.1177/11786329211070722
      Healthcare Information Technology Trends discussion post with response

  • Patient Safety Fishbone Diagram Analysis

    Patient Safety Fishbone Diagram Analysis

    Sheila, a very experienced ICU nurse, has been working with an unstable patient, who is 3 days post-op. The patient’s IV drugs are being adjusted and titrated for runs of V-Tach. The patient has been very restless and somewhat confused, moving around in bed frequently and causing the monitor to alarm. Because Sheila is providing care to this patient on a 1:1 basis, she turns off the alarm while she is in the room. She closely monitors the patient’s vital signs and drips, continuously staying at the patient’s bedside.

    Suddenly, the patient across the hall sits up in bed, extubates himself, while thrashing wildly, trying to remove his restraints, and get out of bed. Sheila is in the nearest room and sees what is going on. She rushes to the other room to restrain the patient, calling for help as she goes. Another nurse comes to help her, and within a few minutes, anesthesia has responded, the ET tube has been reinserted, and the patient has been sedatedPatient Safety Fishbone Diagram Analysis.

    When Sheila returns to her patient’s bedside, she notes that he is in V-fib and is unresponsive.

     

    Questions to facilitate the Fishbone diagram process:

    1. What aspects of human factors could have contributed to this situation?

    2. What system and/or process factors might have played a role?

    3. What system changes related to mistake-proofing could help here?

    4. What are the key components to include in a policy on turning off alarms?

     

    Patient Safety Fishbone Diagram Analysis

    Fishbone Analysis

    Aspects of Human Factors that Could Have Contributed to the Situation

    The first human factor that could have contributed to the situation is that the patient was on the third-day post-op. This means that the patient was still recovering from surgery and may have felt more pain and discomfort than usual. This could have made the patient more restless and confused than usual. Another human factor that could have contributed to the situation is that the IV drugs were being adjusted and titrated for runs of V-tach. This means that the patient’s medication was constantly changing to control their heart rate (Barbeito et al., 2022). This could have led to the patient feeling more confused and agitated. The third human factor that could have contributed to the situation is that the patient’s monitor was alarming frequently. This would have caused the patient to become more aware of their surroundings and may have caused them to become more restless. Also, Sheila was the only nurse providing care to the patient. This means she was the only person who could monitor the patient closely. This could have led to her missing some warning signs that the patient was becoming agitated Patient Safety Fishbone Diagram Analysis.

    The alarm system was not properly functioning and did not alert staff to the patient’s movements. The patient was not properly restrained and could remove the ET tube. The anesthesia team did not respond promptly. Other factors were that the nurse-patient ratio was 1:1, which left little room for error. The patient was post-op and on medication that may have caused confusion and restlessness. The monitor was also turned off while the nurse was in the room, which prevented timely intervention. The patient was not closely monitored after the initial event, which allowed him to become unresponsive. The nurse was not familiar with the anesthesia protocol, which delayed intervention.

    Systems and Process Factors that Might Have Played a Role

    Several systems and process factors may have played a role in this event. The first is the patient’s instability. The patient was on the third-day post-op and was still very unstable. This made it difficult for the nurses to keep the patient’s vital signs and drips stable. The second factor is the patient’s restlessness and confusion. This made it difficult for the nurses to monitor the patient and keep him from moving around the bed, causing the monitor to alarm. The third factor is anesthesia. The anesthesia could not respond quickly enough to the patient’s need for sedation. This made it difficult for the nurses to keep the patient sedated and from removing the ET tube. The fourth factor is the lack of staff. There was only one nurse available to help Sheila with the patient. This made it difficult to keep the patient restrained and from extubating himself. The fifth factor is the lack of a clear plan of care Patient Safety Fishbone Diagram Analysis. There was no clear plan of care in place for the patient. This made it difficult for the nurses to know what to do and how to respond to the patient’s needs.

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    One system factor that may have played a role is the fact that the patient was on the third day post-op. This means that the patient may have still been in a lot of pain and discomfort, which can lead to restlessness and confusion. Additionally, the patient’s IV drugs may have been contributing to the patient’s condition. Another system factor is that the patient was on a 1:1 basis with Sheila. This means that Sheila was the only nurse responsible for the care of this patient. This can lead to much pressure and stress, leading to mistakes. Process factors that may have played a role include that Sheila turned off the alarm while in the room. This may have prevented her from hearing the alarm when the patient across the room began to stir.

    Additionally, Sheila may have been too focused on the patient’s vital signs and drips to notice the patient across the room. Another process factor is that the patient across the room could extubate himself and remove the restraint. This may have been because the restraint was not properly secured. Finally, the anesthesia may have responded too slowly to the situation, which allowed the patient to become unresponsive.

    Potential Problem-Solving Measures

    Some of the system changes that could help include implementing a standardized protocol for postoperative care of patients with unstable vital signs. This protocol should include close monitoring of vital signs and titration of IV medications to maintain stability. Secondly, there is need to incorporate alarms into the postoperative care protocol so that nurses are alerted when a patient’s vital signs become unstable. Training nurses on proper restraint techniques prevents patients from self-extubating or removing other medical devices and standardizing the sedation protocol for patients who become agitated or unresponsive so that nurses can quickly and effectively sedate them—also implementing a system for tracking and reporting postoperative complications so that any trends can be identified and addressed (Soni et al., 2017) Patient Safety Fishbone Diagram Analysis.

    Other system changes to mistake proofing that could help here include; reviewing and updating policies and procedures related to postoperative care, specifically about IV drug administration and monitoring of unstable patients (Rodziewicz et al., 2022) Patient Safety Fishbone Diagram Analysis. Additional interventions include implementing a system of bedside alarms that nurses cannot turn off while they are in the room with a patient, increasing staffing levels on postoperative units to allow for more one-on-one care of unstable patients, educating all staff members on the signs and symptoms of postoperative complications and the importance of timely intervention.

    Key Components to Include in Policy of Turning Off Alarms

    Alarms should only be turned off when the nurse is providing direct care to the patient and can closely monitor the patient’s vital signs. The nurse should turn off the alarm and monitor the patient’s vital signs and drips. If the patient across the room extubates himself and tries to remove the restraint, the nurse should rush into the room and call for help. Once the anesthesia has responded and the ET tube is reinserted, the patient should be sedated (Ramlaul et al., 2021). The nurse should then return to the patient’s bedside and check for v-fib and unresponsiveness. The alarm must be turned off by the nurse providing care to the patient on a 1:1 basis. The nurse must document all actions taken in the patient’s medical record (Woo & Bacon, 2020). Once the patient is sedated, the nurse should return to the bedside and check for signs of V-fib. If the patient is unresponsive, the nurse should turn off the alarm and provide CPR if necessary Patient Safety Fishbone Diagram Analysis.

     

    References

    Barbeito, A., Dolinski, S. Y., & Lemm, J. (2022). Postoperative care after cardiac surgery.
    https://www.uptodate.com/contents/postoperative-care-after-cardiac-surgery

    Ramlaul, A., Chironda, G., & Brysiewicz, P. (2021). Alarms in the ICU: A study investigating how ICU nurses respond to clinical alarms for patient safety in a selected hospital in KwaZulu-Natal Province, South Africa.
    Southern African Journal Of Critical Care
    ,
    37
    (2), 57.
    https://doi.org/10.7196/sajcc.2021.v37i2.469

    Rodziewicz, T. L., Houseman, B., & Hipskind, J. E. (2022). Medical error reduction and prevention. In 
    StatPearls [Internet]
    . StatPearls Publishing.
    https://www.ncbi.nlm.nih.gov/books/NBK499956/

    Soni, P., Aggarwal, N., Kumar, V., Homel, P., & Kupfer, Y. (2017). Authenticity and Reliability of the Cardiac Monitor Alarms in the ICU: A Patient Safety Concern Due to Alarm Fatigue.
    Chest
    ,
    152
    (4), A566.
    https://doi.org/10.1016/j.chest.2017.08.596

    Woo, M., & Bacon, O. (2020). Alarm Fatigue. In Making Healthcare Safer III: A Critical Analysis of Existing and Emerging Patient Safety Practices [Internet]. Agency for Healthcare Research and Quality (US).
    https://www.ncbi.nlm.nih.gov/books/NBK555522/ 
     Patient Safety Fishbone Diagram Analysis

  • Patient falls fishbone diagram template root cause analysis

    Patient falls fishbone diagram template root cause analysis

    Fishbone Analysis Diagram

    Part 1:
    Identify a problem in your practice environment. Use the Fishbone Analysis Diagram to conduct a root cause analysis.

    Part 2:
    In 300-500 words, address the following:

    What is the benefit of a root cause analysis in health care quality and safety? How does it mitigate risk?

    Identify quality indicators for the selected problem and discuss their associated measurement strategies.

    Describe the purpose of progress tracking in project management.

    Describe how to identify project adjustments and when it is best to implement them.

     

    The purpose of this Patient falls fishbone diagram template root cause analysis assignment is to use a Fishbone Diagram to complete a root cause analysis. Identify a problem in your practice environment and utilize the topic Resource “Fishbone Analysis Diagram Template” to work through the problem to the root cause. Refer to “Problem-Solving Your Fishbone Into a Wishbone,” located in the topic Resources to complete this assignment.

    While APA style is not required for Part 1, solid academic writing is expected, and documentation of sources should be presented using APA formatting guidelines, which can be found in the APA Style Guide, located in the Student Success Center.

    Prepare Part 2 of the template according to the guidelines found in the APA Style Guide, located in the Student Success Center. An abstract is not required.

    This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.

    You are required to submit this assignment to LopesWrite. A link to the LopesWrite technical support articles is located in Class Resources if you need assistance.

    https://vanguardcommunications.net/fishbone-problem-solving/

     

    Patient falls fishbone diagram template root cause analysis

    Fishbone Analysis

     
    Fishbone Analysis Diagram

    Part 1:  
    The identified problem is falls in hospitalized patients.  Patient falls are a safety concern with physical, psychological, and economic consequences (LeLaurin & Shorr, 2019). Understanding the cause of falls can inform prevention and management interventions.  Conducting a root cause analysis can establish all factors influencing the problem of falls in hospitals. Fishbone diagram is one tool applied in examining causes of practice issues in healthcare (Kumah et al., 2024; Martin-Delgado et al., 2020). The Fishbone diagram below illustrates the different contributing factors for falls in hospitalized patients, including patient, staff, hospital-based, and environmental factors

     

    Part 2:

    The Benefit of a Root Cause Analysis in Health Care Quality and Safety

    Root cause analysis (RCA) involves identifying direct and indirect causes of a problem. The RCA provides decision-makers with information on the factors causing a particular issue. If done after an incident, it helps prevent recurrence of the problem. However, RCA is also conducted as part of project planning to identify potential risks and develop mitigation measures.  In healthcare quality and safety, RCA enables leaders and teams to focus on the root of the problem. It clarifies the quality or safety issue (Martin-Delgado et al., 2020). For instance, patient falls are a safety concern and a practice issue. Identifying causes of fall incidence can enable unit or departmental leaders to develop and implement interventions to reduce patient falls. Decreased falls indicate improved healthcare quality and patient safety (LeLaurin & Shorr, 2019). Overall, RCA improves healthcare quality and safety through cause or risk identification.

    Quality Indicators for Falls and Measurement Strategies

    The quality indicators for patient falls are fall rates, injuries, and prevention practices. The fall rate is the number of fall incidents in 1000 patient days. Falls also cause injuries requiring further medical attention. Compliance with fall prevention protocols is another quality indicator because they affect the incidence of falls with or without injuries. Fall rates and prevention practices can be measured as part of quality improvement through systematic strategies. Healthcare professionals can use incident reports to record data pertinent to fall rate calculation, such as cases of falls, fall injuries, patient census, patient bed days, the unit where the fall occurred, and causes.  To measure compliance or adherence, leaders can use process metrics, such as performance of fall risk assessment (LeLaurin & Shorr, 2019). The findings can determine the quality improvement interventions to consider.

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    T
    he Purpose of Progress Tracking in Project Management

    Project tracking is an essential step in project management. It entails examining the project to ensure the change aligns with the initial goals. For instance, tracking a fall prevention project would entail establishing the fall and fall-injury rates, and staff compliance with the fall prevention practices. Usually, project tracking is done within a specific period as the project continues. The data can help establish if the project is meeting targets. Also, the project manager can take measures to keep it on track if the results indicate unmet goals (Browning, 2018). Continuous progress tracking supports the alignment of project activities with set goals and targets.

    How To Identify Project Adjustments and When It Is Best to Implement Them

    Project managers can use a few strategies to identify project adjustments.  The first strategy is determining the causes and effects of unexpected changes or delays. The project manager should examine the impact that the changes or delays could have on the overall project.   Next, the manager should communicate the changes and potential adjustments to the stakeholders. It is essential to collect the stakeholder feedback to inform adjustments. The other step involves prioritizing milestones (Browning, 2018). Having evaluated all these aspects, the project manager can proceed to revise the contingency plan and schedule Patient falls fishbone diagram template root cause analysis.
     

     

    References

    Ainani, N., & Irwan, A. M. (2024). Factors associated with the incidence of patient falls in hospitals: A scoping review.
    Journal of Integrative Nursing, 6
    (2), 117-126.  
    https://doi.org/10.4103/jin.jin_133_23
    .

    Browning, T. R. (2018). Planning, tracking, and reducing a complex project’s value at risk.
    Project Management Journal, 50
    (1), 71-85. https://doi.org/10.1177/8756972818810967.

    Kim, J., Lee, E., Jung, Y., Kwon, H., & Lee, S. (2022). Patient-level and organizational-level factors influencing in-hospital falls.
    Journal of Advanced Nursing (JAN), 78
    (11), 3641-3651.
    https://doi.org/10.1111/jan.15254
    .

    Kumah, A., Nwogu, C. N., Issah, A. R., Obot, E., Kanamitie, D. T., Sifa, J. S., & Aidoo, L. A. (2024). Cause-and-effect (fishbone) diagram: A tool for generating and organizing quality improvement ideas.
    Global Journal of Quality and Safety in Healthcare, 7
    (2), 85-87.
    https://doi.org/10.36401/JQSH-23-42
    .

    LeLaurin, J. H., & Shorr, R. I. (2019). Preventing falls in hospitalized patients: State of the science.
    Clinics in Geriatric Medicine, 35
    (2), 273-283.
    https://doi.org/10.1016/j.cger.2019.01.007
    .

    Martin-Delgado, J., Martínez-García, A., Aranaz, J. M., Valencia-Martín, J. L., & Miraa, J. J. (2020). How much of root cause analysis translates into improved patient safety: A systematic review.
    Medical Principles and Practice, 29
    (6), 524-531.
    https://doi.org/10.1159/000508677
    . Patient falls fishbone diagram template root cause analysis

  • Older Adults and Driving comprehensive assessment

    Older Adults and Driving comprehensive assessment

    1. Nurses incorporate questions about car driving to identify the need for a more comprehensive assessment. What questions would you ask and why these questions?

    2. What are some common risk factors that can affect car driving?

    3. What are some common referrals related to car driving safety and why?

    4. How will this fit with the older adult community assessment paper?

    Justify your reasons while responding to these prompt questions and cite your sources using APA format

    The initial Older Adults and Driving comprehensive assessment post should be 300 words with reference(s) to support your comments.

     

    Older Adults and Driving comprehensive assessment

    Nurses incorporate questions about car driving to identify the need for a more comprehensive assessment. What questions would you ask and why these questions?

    Nurses may assess older adult patients about driving to ensure their safety and the safety of others, considering the potential for age-related declines in motor skills, cognition and vision that impair safe driving. First, questions would be asked about vision to assess the ability to distinguish objects against different backgrounds (contrast sensitivity), peripheral vision (visual fields), and the ability to see clearly (visual acuity). Second, questions about cognition, evaluating memory, attention, processing speed, and executive function in terms of planning and decision-making. Third, questions about motor and somatosensory function in terms of the functional range of motion, endurance, and proprioception (sense of body position). Fourth, question about medication, noting those that may potentially impair driving due to side effects. Fifth, questions about medical conditions that might affect safe driving. Sixth, questions about the patient’s perspective and asking about concerns related to driving and one’s own perception of driving abilities (Williams, 2023).

    What are some common risk factors that can affect car driving?

    Older adult patients face higher risk factors that affect their driving. First, they face physical changes that present as age-related declines in vision, hearing, reaction time, motor skills, and mobility. Second, they face age-related cognitive changes presenting as memory loss, declines in attention and multitasking, and impaired judgement and decision-making. Third, they may have medical conditions that affect driving, including chronic diseases, medications and dementia. Besides the mentioned factors, other risks that older adults face include fatigue, distractions, driving in unfamiliar areas, and driving behaviors in terms of driving too fast, following too closely or unsafe lane changes (Boscart et al., 2023).

    What are some common referrals related to car driving safety and why?

    If a nurse has concerns about a patient’s safe car driving, then there is a need to refer the patient to a specialist to help address the specific risk factor. This particularly targets the age-related declines in body systems, such as referral to physical therapists, occupational therapists, neuropsychologists, and ophthalmologists. The specialist further evaluates the patient before applying a management or treatment plan and recommends whether the patient can continue driving and under what conditions. In addition, the patient may be referred for counseling about safe driving practices and alternatives to driving. Even as the nurse refers the patient for further evaluation, there is a need to discuss and explore alternative transport options, such as family/friend support, ride-sharing services, and public transportation (Beavers-Kirby & Segal-Gidan, 2024) Older Adults and Driving comprehensive assessment.

    How will this fit with the older adult community assessment paper?

    Driving assessment for older adult patient is a crucial component of community assessment as it helps to identify and address potential mobility challenges, which are vital for maintaining the independence of the community members and ensuring their overall well-being within the community. The assessment helps to identify mobility needs and the challenges they face. It points out individuals who may have difficulty driving safely and allows for targeted interventions. Besides that, it supports interdependence by identifying older adults who may need assistance with transportation and discusses alternative mobility options, such as volunteer programs, ride-sharing services, and public transport. In addition, it improves safety and well-being as it identifies individuals at risk of being involved in car crashes due to age-related changes in physical abilities, cognition and vision. This information helps with developing safety interventions and ensuring the well-being of older adults in the community. Furthermore, it guides effective resource allocation, such as decisions on funding for public transportation services or promoting safe driving practices. Moreover, it facilitates early intervention by providing older adults with the counseling or training they need to improve their driving or referring them for specialist care and rehabilitation to address underlying impairments (Cooper & Gosnell, 2023).

    References

    Beavers-Kirby, J. R., & Segal-Gidan, F. I. (2024).
    Gerontology and Geriatrics for NPs and PAs: An Interprofessional Approach
    . Elsevier.

    Boscart, V., McCleary, L., Taucar, L. S., Touhy, T. A., & Jett, K. F. (2023). 
    Ebersole and Hess’ Gerontological Nursing and Healthy Aging in Canada
    (3rd ed.). Elsevier Health Sciences.

    Cooper, K., & Gosnell, K. (2023). 
    Foundations and Adult Health Nursing
    (9thed.). Mosby.

    Williams, P. A. (2023). 
    Basic Geriatric Nursing
    (8th ed.). Elsevier Health Sciences Older Adults and Driving comprehensive assessment

  • Literature Review:The Use of Clinical Systems to Improve Outcomes and Efficiencies

    Literature Review:The Use of Clinical Systems to Improve Outcomes and Efficiencies

    In a 5-pages not including title and reference page, synthesize the peer-reviewed research you reviewed. Format your Assignment as an Annotated Bibliography. Be sure to address:

    1. Identify the 4 peer-reviewed research articles you reviewed, citing each in APA format.

    2. Include an introduction explaining the purpose of the paper..

    3. Summarize each study, explaining the improvement to the outcomes, efficiencies and lesson learned fr the application of the clinical system each peer-reviewed article described. Be specific and provide examples.

    4. In ur conclusion, synthesize the findings from the 4 peer-reviewed research articles.

    5. Use APA format and include a title page.

    6.use the turnitin drafts to check your match percentage before submitting work.

     

    Literature Review:The Use of Clinical Systems to Improve Outcomes and Efficiencies

    The Impact of EHRs on Patient Safety and Health Professional Collaboration

    Introduction

    Electronic Health Records (EHR) systems are one of the most advanced healthcare technology developments for contemporary healthcare. As healthcare facilities migrate from paper-based to digital record-keeping, the impact of EHRs on patient outcomes and clinical efficiencies becomes even more important to nursing practice. This assignment aims to review existing literature on EHR implementation in various healthcare environments, focusing on measurable improvements in patient safety, the quality of care, clinical efficiency, and healthcare professionals’ communication. In examining the advantages and disadvantages of using EHR, the review provides nursing professionals working within these systems in clinical environments with evidence-based recommendations. The review findings will identify how EHR can revolutionize healthcare provision when implemented effectively and used to the full, while noting where system optimization is still required.

    Upadhyay, S., & Hu, H. (2022). A qualitative analysis of the impact of electronic health records (EHR) on Healthcare Quality and safety: Clinicians’ lived experiences.
    Health Services Insights
    ,
    15
    . https://doi.org/10.1177/11786329211070722

    This qualitative study investigated the clinician experience of EHR systems using semi-structured interviews of 20 healthcare professionals from various roles (physicians, nurses, hospitalists, patient safety officers, and nurse practitioners). The study found variable assessments of EHR implementation. Significant improvements were increased patient safety through medication alerts and reminders, better access to overall patient histories, excellent healthcare providers’ communication, streamlined documentation processes, and data availability for research (Upadhyay & Hu, 2022). On the other hand, challenges remained, such as undertraining, time-consuming documentations diverting attention from patient care, system fragmentation, and cross-EHR system interoperability. The research found that the nurses perceived EHR as an efficiency booster, whereas the physicians found the system time-intensive. The organizational culture of safety had a significant impact that contributed to the successful implementation of EHR. The lesson learned was the need for proper training, the need for institution-wide integrated EHR, and the potential of the EHR to contribute toward the safety culture by data analyses and reports (Upadhyay & Hu, 2022). The research finds that although challenges attend the implementation of the EHR, the advantages to patient care quality and safety in the main do exceed the disadvantages when appropriately implemented and supported by the management.

    Vos, J. F., Boonstra, A., Kooistra, A., Seelen, M., & van Offenbeek, M. (2020). The influence of electronic health record use on collaboration among medical specialties.
    BMC Health Services Research
    ,
    20
    (1). https://doi.org/10.1186/s12913-020-05542-6

    The study explored how Electronic Health Records (EHRs) enable or limit healthcare professionals’ collaboration in five Dutch hospital outpatient multidisciplinary clinics. Adopting affordance theory as a conceptual framework, the researchers identified six affordances of EHR supporting collaboration: portability, co-located access, shared overview, mutual awareness, messaging, and orchestrating. Although the EHR compiled information from different specialties into holistic patient overviews, various constraints were revealed. The impossibility of changing records in parallel slowed down joint consultations, and the high number of notes made the view poor. Variable entry practices among specialties reduced mutual awareness, as some clinicians avoided using EHR data they did not trust. The messaging system successfully anchored health records to messages but sometimes led to information overflow and less spoken communication. The orchestrating affordance facilitated request processing but took excessive time for the medical specialist and reduced face-to-face communication. Organizational regulations also hindered the process, such as strict role approval regulations that delegated administrative burdens to specialists. Uniform EHR use policies in departments led to improved outcomes in collaborating. The study proves that, in theory, EHR promotes interdisciplinary team work but, in reality, its effectiveness relies heavily on uniform use patterns, organizational regulations, and system design that caters to inherent workflow in different medical specialties and disciplines.

    Cahill, M., Cleary, B. J., & Cullinan, S. (2025). The influence of electronic health record design on usability and Medication Safety: Systematic Review.
    BMC Health Services Research
    ,
    25
    (1). https://doi.org/10.1186/s12913-024-12060-2

    This systematic review explored how EHR design affects usability and medication safety in clinical environments. The researchers found that seven design themes were most important: search, automation, customization, data entry, workflow, guidance, and interoperability. Strong search functionality, suitable automation, the ability to customize, and the ease of data entry in well-designed EHRs increased user satisfaction and attenuated medication errors. For example, tailored medication alerts reduced serious events from 0.18 to 0.08 per 10,000 patient days, and streamlined data entry options reduced prescription discrepancies by 195 monthly (Cahill et al., 2025). Systems that supported clinician workflow by minimizing the need for clicks, scrolling, and the need to access them remotely reduced inefficiency, with mobile EHRs saving 9.6 minutes for retrieving data and 6.5 minutes during ward rounds (Cahill et al., 2025). In contrast, suboptimal EHR design with uncorrelated data, excessive alerting, and log-in hassles led to provider burnout and compromised patient safety. The study emphasizes that clinical systems must prioritize usability-centered design that affirms clinical workflow, rather than disrupt it. The main takeaway is that while EHR implementation has positive impacts, a design aimed at usability principles is necessary to achieve better clinical outcomes, increased efficiency, and medication safety in clinical environments.

    Li, E., Clarke, J., Ashrafian, H., Darzi, A., & Neves, A. L. (2022). The impact of electronic health record interoperability on safety and quality of care in high-income countries: Systematic Review.
    Journal of Medical Internet Research
    ,
    24
    (9). https://doi.org/10.2196/38144

    This systematic review examined the impact of Electronic Health Record (EHR) interoperability on healthcare quality across 12 studies published between 2013-2020 in high-income countries. The researchers analyzed outcomes using the Institute of Medicine’s quality framework, focusing on safety, effectiveness, and efficiency. Key improvements from EHR interoperability included reduced medication errors through automated data entry (22% decrease in infusion pump alerts), increased data accuracy (patient ID entry correctness improved from 35.5% to 81%), and enhanced cross-disciplinary communication (Li et al., 2022). However, interoperability issues still contributed to 7.9-18.1% of patient safety events, with medication-related incidents being most common. The research revealed mixed results regarding efficiency gains – while nurses reported significant time savings using interoperable systems, physicians experienced minimal workflow differences. Only one study quantified cost benefits, reducing revenue loss from $980,000 to $610,000 following implementation (Li et al., 2022). Key lessons include addressing data completeness and syntax issues, accounting for 57% and 43% of data quality alerts. The findings highlight that while interoperability can significantly improve patient safety and data accuracy, challenges remain in achieving seamless integration between systems and maximizing workflow benefits across all healthcare roles Literature Review:The Use of Clinical Systems to Improve Outcomes and Efficiencies

    Conclusion

    In conclusion, several recurring themes from the studies are evident from reviewing the literature on Electronic Health Records (EHRs). Although widely implemented and heavily financed, proof of the positive effect of EHRs in clinical outcomes and patient safety is still variable and limited. EHRs positively impact medication safety through improved features such as customized alerts (decreasing serious incidents from 0.18 to 0.08 per 10,000 patient days) and automated entry (enhancing accuracy from 35.5% to 81%). This has positive impacts on patient outcomes, safety, and satisfaction. However, the studies also reveal that fundamental design factors such as search capability, adequate automation, personalization, and workflow integration significantly affect EHR’s effectiveness. The studies consistently conclude that to achieve optimal EHRtele outcomes, success demands user-centric design, substantial clinical workflow integration, and system interoperability. Future development of EHR needs to focus on standardized measures of security, greater openness in system analysis, and diminution in clinician workload, as ill-designed systems lead to burnout among providers while effectively designed ones improve communication, decrease medication errors, and improve efficiency in the provision of care.

    References

    Cahill, M., Cleary, B. J., & Cullinan, S. (2025). The influence of electronic health record design on usability and Medication Safety: Systematic Review.
    BMC Health Services Research
    ,
    25
    (1). https://doi.org/10.1186/s12913-024-12060-2

    Li, E., Clarke, J., Ashrafian, H., Darzi, A., & Neves, A. L. (2022). The impact of electronic health record interoperability on safety and quality of care in high-income countries: Systematic Review.
    Journal of Medical Internet Research
    ,
    24
    (9). https://doi.org/10.2196/38144

    Upadhyay, S., & Hu, H. (2022). A qualitative analysis of the impact of electronic health records (EHR) on Healthcare Quality and safety: Clinicians’ lived experiences.
    Health Services Insights
    ,
    15
    . https://doi.org/10.1177/11786329211070722

    Vos, J. F., Boonstra, A., Kooistra, A., Seelen, M., & van Offenbeek, M. (2020). The influence of electronic health record use on collaboration among medical specialties.
    BMC Health Services Research
    ,
    20
    (1). https://doi.org/10.1186/s12913-020-05542-6 Literature Review:The Use of Clinical Systems to Improve Outcomes and Efficiencies

  • Week 7 TV Art Breaking bad The Artistic Brilliance of Breaking Bad Redefining Television

    Week 7 TV Art Breaking bad The Artistic Brilliance of Breaking Bad Redefining Television

    Many people would say that the 1999 premier of The Sopranos was a turning point in the development of television as an art form. Choose a television or streaming show that you feel perpetuates the idea that television is indeed a form of art. For the initial post, address the following:

    Include the name of the show and the director.

    Explain why you think this program is art.

    What impact does the example have on viewers’ lives?

    What were some influences of this work?

    Include a statement from an actor, director, or critic of the program that supports your points.

     

    Week 7 TV Art Breaking bad The Artistic Brilliance of Breaking Bad Redefining Television

    Vince Gilligan’s ‘Breaking Bad best represents TV as an art form. The show’s storytelling is meticulous, complex in character development, and visual with symbolism. Gilligan uses the motif of the color green to symbolize greed and transformation in a conscious artistic vision, which is the cinematic use of Gilligan. The narrative structure of Walter White’s tale unrolls Walter White’s descent into moral ambiguity and causes the viewer to think about the themes of power, identity, and consequence.

    Breaking Bad undoubtedly affects the viewers. It can inspire conversations about morality and what it means to be human (Lyons, 2021). In many cases, it can get people thinking about what limits you assign yourself to what behavior is moral. The artistic depth of the show is revealed in how it can cause one to feel sympathetic to the characters.

    ‘Breaking Bad’ has also been inspired by classic literature like Shakespearean tragedies and movies based upon similar themes like ‘Scarface’ and ‘The Godfather.’ With Gilligan’s invention, other serialized dramas such as ‘Better Call Saul’ and ‘Ozark’ emerged.

    According to Bryan Cranston, who acted as Walter White, he said it is more than just a TV show; it is a study of human behavior and the choices we make. This word presents the show’s artistic side and exceeds the average television word to something significant for the anthropology of the human being. It also means that the show is a work of art on television and that the foundations are laid for television to grow.

    References

    Lyons, S. (2021). The (Anti-) Hero with a Thousand Faces: Reconstructing Villainy in The Sopranos, Breaking Bad, and Better Call Saul. 
    Canadian Review of American Studies
    , 
    51
    (3), 225-246.
    https://www.utpjournals.press/doi/abs/10.3138/cras-2020-017
      Week 7 TV Art Breaking bad The Artistic Brilliance of Breaking Bad Redefining Television

  • Patient is a 44 year old male presenting with swollen, painful, red left knee for 2 days. Reports he is unable to bear weight on that leg

    Week 8 Case Study

    Patient is a 44 year old male presenting with swollen, painful, red left knee for 2 days. Reports he is unable to bear weight on that leg. He is now also having toe pain. Symptoms started after the weekend when he attended a BBQ where he had 4 beers with his meal. He denies fever, rash or injury. BMI is 32. History of HTN, takes Hydrochlorothiazide, and works as a floor installer.

    Aspiration of synovial fluid:

    Monosodium urate (MSU) crystals positive

    Lab results

    Lab Result Reference Range

    Uric Acid 8 3.5 and 7.2 mg/dL

    ESR 65 0-15 mm/hr

    CRP 10.5 <0.3 mg/dL Questions: Identify key symptoms presented that will help to determine the diagnosis. Explain the musculoskeletal pathophysiologic processes of why the patient presents these symptoms. Explain how obesity plays a role in the progression of osteoarthritis/gout in the knee joints. Case Study Analysis The musculoskeletal system maintains a central function by managing mobility together with stability and physical functioning ability. When this system is compromised, patients often experience limitations that affect their quality of life. The case of a 44-year-old male presenting with acute pain, redness, and swelling in his left knee highlights the complex interplay between musculoskeletal pathologies, lifestyle factors, and comorbid conditions. This case study analysis seeks to examine the clinical presentation, underlying pathophysiological mechanisms, and contributing factors such as obesity and medication use in the context of gout, a common inflammatory arthropathy. Key Symptoms and Diagnostic Indicators The patient presents with a complaint of acute swelling, erythema, and pain in his left knee, with an inability to bear weight. He also complains of pain in his toes—a very important clue that would indicate first metatarsophalangeal joint involvement, which is characteristically involved in gout. His consumption of alcohol over the weekend and his intake of purine-containing food are also relevant. Laboratory results reveal elevated serum uric acid (8 mg/dL), ESR 65 mm/hr, and CRP 10.5 mg/dL—all indicating acute inflammation. Most significantly, synovial fluid aspiration was positive for the presence of monosodium urate (MSU) crystals, confirming gout. The American College of Rheumatology emphasizes that crystal analysis of synovial fluid is the gold standard for gout diagnosis (Punzi et al., 2024). Pathophysiological Processes of Gout Gout is an inflammatory arthritis caused by crystal deposition of MSU in joints secondary to hyperuricemia. Uric acid is a product of purine metabolism and must be excreted by the kidneys. When production exceeds excretion, urate crystallizes within the joint space with elevated levels, causing an immune reaction. The macrophages and neutrophils attempt to phagocytose the crystals and release proinflammatory cytokines such as IL-1β, which produce local inflammation, vasodilation, and pain (Ashiq et al., 2021). In this case, pain, swelling, and immobility of the knee and toe express the marked inflammatory response and joint involvement that is typical in acute gout attacks. Obesity’s Role in Gout and Osteoarthritis Obesity substantially increases the risk and severity of osteoarthritis and gout both mechanically and metabolically. Viscosity due to excess adiposity increases circulating concentrations of uric acid, partly by inducing insulin resistance, reducing renal excretion of uric acid (Yang et al., 2022). Higher body weight also leads to greater mechanical load on load-bearing joints such as the knees, accelerating cartilage loss and osteoarthritic change. Visceral adipokines secreted by visceral fat also make their contribution towards systemic inflammation worsening joint damage. In the case of patient BMI 32, obesity would in all probability double its function, increasing urate levels and providing setting for joint damage and susceptibility for repeat gout attack. Risk Factors Contributing to Disease Development There are several modifiable and non-modifiable risk factors in this scenario. Hydrochlorothiazide is a thiazide diuretic that is prescribed for hypertension and has been found to interfere with renal excretion of uric acid, thereby causing hyperuricemia (Jiao et al., 2023). Beer drinking elevates serum urate by activating purine metabolism and increasing lactic acid production, further inhibiting urate excretion. In addition, the patient’s occupation as an installer of floors can be a cause of repetitive joint stress, particularly to the knees, and therefore increase the risk of gout and osteoarthritis. Genetic susceptibility is also elevated by genetic predisposition, older age, and male sex. Conclusion This case points out the importance of grasping musculoskeletal pathophysiology in the diagnosis and management of joint disorders. Acute monoarticular arthritis with documented MSU crystals, elevated inflammatory markers, and hyperuricemia is characteristic of gout. Obesity, medication use, diet, and work-related factors all have roles in the etiology and exacerbation of this disease. Advanced practice registered nurses play an essential role not just in recognizing such patterns but also in educating patients on lifestyle modifications and adherence to treatment to avert recurrence and joint damage. References Ashiq, K., Bajwa, M. A., Tanveer, S., Qayyum, M., Ashiq, S., Khokhar, R., & Abid, F. (2021). A comprehensive review on gout: The epidemiological trends, pathophysiology, clinical presentation, diagnosis and treatment. JPMA. The Journal of the Pakistan Medical Association, 71(4), 1234-1238. https://doi.org/10.47391/jpma.313 Jiao, X., Song, K., Jiao, X., Li, H., Zeng, L., Zou, K., Zhang, W., Wang, H., & Zhang, L. (2023). Hyperuricaemia, gout and related adverse events associated with antihypertensive drugs: A real-world analysis using the FDA adverse event reporting system. Frontiers in Pharmacology, 13. https://doi.org/10.3389/fphar.2022.1045561 Punzi, L., Galozzi, P., Luisetto, R., Scanu, A., Ramonda, R., & Oliviero, F. (2024). Gout: One year in review 2023. Clinical and Experimental Rheumatology. https://doi.org/10.55563/clinexprheumatol/uhyzcr Yang, Y., Xian, W., Wu, D., Huo, Z., Hong, S., Li, Y., & Xiao, H. (2022). The role of obesity, type 2 diabetes, and metabolic factors in gout: A mendelian randomization study. Frontiers in Endocrinology, 13. https://doi.org/10.3389/fendo.2022.917056 Patient is a 44 year old male presenting with swollen, painful, red left knee for 2 days. Reports he is unable to bear weight on that leg

  • Fading Echoes Poem and clair de lune song Art Creation

    Fading Echoes Poem and clair de lune song Art Creation

    Part 1: Art Creation

    Select a poem, musical piece to use as a point of inspiration. Create a work of poetry, lyrics, inspired by your selected art piece.

    Note: If your art creation requires a separate file submission, please submit in the Art Creation Submission (Recordings) area following this assignment.

    Part 2: Reflection

    Write a reflection about the relationship between your art production and the inspiration piece. Include the following in the reflection paper:

    Introduction

    Inspiration Piece

    Include the inspiration poem, lyrics, within the document. Use a link in the case of a recording.

    Record the title, artist/author/composer, year, and place of origin.

    Briefly explain the background of the inspiration piece.

    Your Art Piece

    Include your original poem or lyrics within the document.

    Provide a title.

    Explain the background of your piece.

    Connection

    Explain the thematic connection between the two pieces.

    How are they similar and different?

    Are they the same medium? How does the medium impact what the viewer experiences?

    Length: 1.5-2 pages (not including title page, text of inspiration piece, or references page)

    1-inch margins

    Double spaced

    12-point Times New Roman font

    Title page

    References page (minimum of 1 scholarly source)

    Fading Echoes Poem and clair de lune song Art Creation

     

    Art creation

    Part 1: Art Creation

    Original Poem: “Fading Echoes”

    Whispers of the past drift through the trees,

    Like shadows that linger, caught in the breeze.

    Memories flutter as petals fall,

    A symphony of silence, an untold call.

    Through the quiet night, the stars unfold,

    Stories of sorrow, stories untold.

    In the hush of dawn, I hear the sound,

    Of fleeting moments that can’t be found.

    Like the river’s flow, relentless and exhaustive,

    Time slips away, with nothing to hide.

    Yet still, I search for a trace, a sign,

    Of something eternal, a moment divine.

     

    Part 2: Reflection

    Inspiration Piece
    : “Clair de Lune”

    Composer
    : Claude Debussy

    Year
    : 1905

    Place of Origin: France

    Claude Debussy created his delicate classical piano piece, “Clair de Lune,” in 1905 while in France. The piece comes from “Light of the Moon,” while the music creates an atmospheric environment that depicts moonlight through its calm harmonies and slow rhythm (Lidén, 2021). Debussy completed the piece for his Suite, and it became one of his signature masterpieces.

    My Art Piece: “Fading Echoes”

    The meditation passage of my poetic work “Fading Echoes” traces time’s flow across memory and loss from beginning to end, similar to Debussy’s “Clair de Lune.” The poetry explores momentary vanishing experiences, temporal shifts, and eternal searches for eternity, which match Debussy’s composition with its soft, subtle musical qualities.

    The two artistic works establish a connection through their peaceful nature and exploration of time progression. The two artworks trigger emotional responses amongst listeners and readers. The piano music of “Clair de Lune” develops an ambiance through its tones to establish comparable mood atmospheres (Lidén, 2021). Auditory time experiences in “Clair de Lune” permeate directly through musical instruments, yet my poem employs metaphors to let readers experience emotional loss of memory and existential seeking.

    References

    Lidén, S. (2021). Multi-methodological piano studies. Fading Echoes Poem and clair de lune song Art Creation