Order 404449558. Quality Methods in Healthcare
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Rasmussen College *
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HEALTH SCI
Subject
Health Science
Date
Feb 20, 2024
Type
pptx
Pages
7
Uploaded by LieutenantRockFinch35
Quality Methods in Healthcare
Introduction •
Chaparral Regional Hospital is implementing a Quality Improvement (QI) Plan to address patient and staff complaints on issues such as long wait times and rude physicians. •
A quality improvement program would enable the hospital gain improve the services they offer to patients.
Pros of Quality Measurement •
Using metrics and data collection allows us to identify areas needing improvement objectively instead of relying on anecdotal complaints alone. •
We can uncover systemic issues and address their root causes. Techniques such as tracking hospital-acquired infection rates, 30-day hospital readmission rates, medical errors, and patient satisfaction surveys are industry standards that permit benchmarking against peer hospitals (Antony et al,. 2023). •
Quality indicators around safety, effectiveness, patient-centeredness, timeliness, efficiency and equity provide a multipronged perspective on potential problems. Methodologies such as Plan-Do-Study-Act cycles enable small tests before hospital-wide implementation to evaluate impact and gather staff feedback.
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Cons of Quality Measurement
•
Additional data tracking and analysis requires investing staff time and hospital resources which can constrain budgets. •
However, addressing quality problems can also reduce expenses long-term. Organizational change is hard, and providers may oppose scrutiny or new initiatives even if they upgrade quality and patient experience (Kudratillayev, & Yakhshiboyev, 2023). •
Leadership must manage this process carefully. Patients have complex histories so some poor outcomes will be inevitable and not fully controllable. Risk-adjusting data and setting context is crucial. Simply measuring without an improvement plan is insufficient for meaningful change.
Balancing Pros and Cons of Quality Measurement
•
Implementing quality measurement enables hospitals to identify areas for improvement through data metrics and benchmarking, providing an objective assessment. •
Techniques such as tracking infection rates, readmissions, and patient satisfaction facilitate useful comparisons against industry standards. Multipronged quality indicators reveal problem areas and methodologies such as Plan-Do-Study-Act cycles allow controlled tests of changes ((Tabakoglu, Kołbuk, & Sajkiewicz, 2023). •
However, the cons must also be weighed appropriately. Additional data tracking and analysis requires investing substantive staff time and hospital resources in the short term. Providers may resist perceived scrutiny or extra work. Some poor outcomes will be inevitable given patient complexity.
Conclusion •
In summary, quality measurement techniques are vital for benchmarking and progress tracking. •
With leadership commitment to making QI a priority, proper staff training on data collection/analysis, and administrators who will spearhead necessary changes, implementing rigorous measurement can enhance patient safety and care quality. •
Despite requiring initial investment, the long-term benefits and cost savings make this effort hugely worthwhile.
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References •
Antony, J., McDermott, O., Sony, M., Powell, D., Snee, R., & Hoerl, R. W. (2023). Global study into the pros and cons of ISO 18404: a convergent mixed method study and recommendations for further research.
International Journal of Quality & Reliability Management
,
40
(2), 517-541.
•
https://www.emerald.com/insight/content/doi/10.1108/IJQRM-10-2021-0356/full/html
•
Kudratillayev, M., & Yakhshiboyev, R. (2023). Scrutiny the effectiveness of using new telehealth methods for primary diagnostics.
Science and innovation
,
2
(A4), 70-83.
•
https://cyberleninka.ru/article/n/scrutiny-the-effectiveness-of-using-new-telehealth-methods-for-
primary-diagnostics
•
Tabakoglu, S., Kołbuk, D., & Sajkiewicz, P. (2023). Multifluid electrospinning for multi-drug delivery systems: Pros and cons, challenges, and future directions.
Biomaterials Science
,
11
(1), 37-61.
•
https://pubs.rsc.org/en/content/articlehtml/2023/bm/d2bm01513g