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Dashboard Benchmark Evaluation

The use of a dashboard is a key tool that executives and leaders use to examine patient outcomes and monitor hospital performance. Benchmarking across major hospitals and organizations may help with future planning and identifying areas of weakness. By establishing benchmarks and national objectives, the Centers for Disease Control and Prevention (CDC) monitors and directs evidence-based policies and programs for high-risk populations (CDC, 2020). Local, state and national benchmarks offer data for monitoring and evaluating the performance of these programs (AHRQ, n.d). Benchmarking ensures that corporate goals are reached, and it aids in the improvement of patient experience and, more broadly, health (Tabrizi & Gharibi, 2019). The following review will examine the current diabetes patient population as well as treatment efficacy, offer recommendations for future review, and address ethical practice guidelines.

Benchmarks and Metrics

Patient treatment data is provided by the organization’s data examiners and quality groups. It is vital to review and analyze patient care quality and outcome data metrics. These data sets help to ensure that Mercy Medical Center (MMC) achieves positive outcomes and maintains a high level of care. The use of national patient data from electronic health records has fueled initiatives to enhance healthcare navigation, patient-centered care, and drug monitoring quality and safety (AHRQ, n.d). MMC must attain top performance metrics as compared to other local, state, and national healthcare systems in order to preserve its reputation as a healthcare treatment foundation. Diabetic patients need care management and, in certain cases, many visits per year. Failure to adhere to treatment recommendations may raise the chance of poor outcomes while also increasing the cost of care (Martinez et al., 2019). Annual foot exams and HgbA1c values are two quantifiable treatment data sets used to evaluate treatment compliance (AHRQ, n.d).

The two were shown as a negative patient slump on the MMC diabetes dashboard. From the first to the fourth quarters of 2019, HgbA1c declined 95.2 percent, and foot exams dropped 95.9 percent (Vila Health, 2021). The National Healthcare Quality and Disparities Reports (CDC, 2020) developed national guidelines using data from adults over 40 who had just been diagnosed with diabetes. Benchmark esteems in excess of 90% compliance for a one-foot exam on the hour, and two HgbA1c discoveries at regular intervals are regarded as efficient procedures (AHRQ, n.d). Healthcare administrations give care to the local community and are adapted to the demands of their consumers. On an annual basis, the American Diabetes Association (ADA) issues treatment recommendations, which are applied at the local, state, and national levels. According to the American Diabetes Association (ADA), adults over the age of 65 with diabetes have a greater risk of death, dementia, and behavioral issues (2019).

A quarter of the population of Shakopee, Minnesota, is overweight, and the American Diabetes Association (ADA) advises that people be evaluated for diabetes and pre-diabetes. Extending diabetic testing would offer a more accurate picture of the community’s health, resulting in an increase in the number of patients at MMC. To help with the execution of a successful treatment plan, these increasing numbers would need additional care staff as well as a more structured treatment routine. Increasing the risk of issues for a sizable segment of the community and adhering to established guidelines at the local, state, and national levels. MMC’s mission is to deliver exceptional care by adopting supported treatment principles at the state and local levels and enhancing the overall health of a population. A healthcare organization’s patient outcome data is indicative of the care that is being provided. Focusing on encouraging compliance via treatment consistency and coordinated visits may be beneficial.

Patient Demographics

The Mercy Medical Center dashboard metrics give basic patient population statistics. Concerns have been raised about the comparison of patient treatment data to diabetes risk indicators. When the critical deviation of treatment data is compared to national diabetes data, it is possible to deduce underdiagnosis. Explicit patient meetings raise the risk of diabetes development. MMC is presently based in Shakopee, Minnesota, which has a population of 36,192 individuals, with 24 percent of the population aged 45 and more (Vila Health, 2021). According to the Centers for Disease Control and Prevention’s National Diabetes Statistics Report (2020), 13 percent of adults aged 18 and up are diabetic, with the percentage increasing to 26.8 percent among those aged 65 and older. MMC diabetic patients were 62 percent female and 38 percent male in 2019 (Vila Health, 2021), contradicting the CDC’s (2020) statistics of greater diabetes prevalence in men and emphasizing the issue of undiagnosed cases.

Benchmarking Challenges

Organizational destinations are intended to enhance patient outcomes by strengthening the healthcare team. Consistent and visible leadership should support the organization’s goals (Braithwaite et al., 2020). This ensures that workers and suppliers are kept up to date on the development of the staff. To monitor and change methods, leaders must employ a patient-centered treatment organization. Offering help resources, such as staffing, may boost the possibility of the organization’s vision being realized (Braithwaite et al., 2020). Yearly foot exams and HgbA1c testing are preventive care approaches that are intended to discover issues before they have a detrimental impact on a patient or their employment. Due to decreased inclination, uncontrolled hyperglycemia may increase a patient’s risk of foot ulcers and maybe amputation (Martinez et al., 2019).

The organization aims to sustain a patient’s quality of life via preventive treatments. MMC’s problems include standardizing diabetic treatment regimens and conducting a policy review. Providers who lack diabetes treatment competence or are unfamiliar with the intended treatment guidelines will need to explain poor compliance rates. Providing competent and viable healthcare at a reasonable cost is a difficulty for many healthcare organizations (Tabrizi & Gharibi, 2019). MMC’s management would have to deal with the issue of developing clear policies for workers and suppliers with the staff.

Ethical Healthcare

Healthcare organizations establish objectives to improve patient care while being financially viable. Clinical practice guidelines (CPG) that are developed and applied for the treatment of patients have an influence on the community that an organization serves. All of the doctors, directors, and staff members have a vested stake in the effective implementation of these policies and benchmark successes. Fostering a system focused on disease prevention in order to promote the general health of the population indicates a commitment to the community as a whole (American Diabetes Association, 2018). Diabetes increases the risk of acquiring additional complications, emphasizing the need to attain these objectives while being ethically and ethically acceptable. MMC has the potential to increase patient care access via excellent treatment coordination. Primary care physicians often focus on and coordinate diabetes treatment for their patients.

According to Martinez et al., treatment and leadership monitoring for compliance might enhance diabetic care (2019). With the support of stakeholders, dedicated outpatient diabetic clinics might be an effective system for enhancing treatment proficiency.

Conclusion

Healthcare metrics help businesses create strategies to enhance the quality and efficiency of patient care. National benchmarks show how one organization compares to other organizations with almost identical rehearsing healthcare data. It is vital to establish the organization’s aims in order to clearly state the points expected of staff to improve patient outcomes.

References

Agency for Healthcare Research and Quality. (n.d.). National Healthcare Quality and Disparities Reports.

American Diabetes Association. (2018). Standards of medical care in diabetes—2018 abridged for primary care providers. Clinical diabetes: a publication of the American Diabetes Association36(1), 14.

Braithwaite, J., Clay-Williams, R., Taylor, N., Ting, H. P., Winata, T., Hogden, E., … & Arnolda, G. (2020). Deepening our Understanding of Quality in Australia (DUQuA): An overview of a nation-wide, multi-level analysis of relationships between quality management systems and patient factors in 32 hospitals. International Journal for Quality in Health Care32(Supplement_1), 8-21.

CDC. (2020). National Diabetes Statistics Report. https://www.cdc.gov/diabetes/data/statistics report/index.html

Martinez, L. C., Sherling, D., & Holley, A. (2019). The screening and prevention of diabetes mellitus. Primary Care: Clinics in Office Practice46(1), 41-52.

Tabrizi, J. S., & Gharibi, F. (2019). Primary healthcare accreditation standards: a systematic review. International journal of health care quality assurance.

Vila Health. (2021) Dashboard and Health Care Benchmark Evaluation.

 

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