Quality and Performance Improvement In Health Care Paper
I will be focusing on readmission rates for SNHU healthcare systems for this quality improvement review. Readmissions may result in prolonged stays in the hospital and an increased risk of adverse incidents. Some of the details that would require to be gathered for this study include the total of admissions in each facility, the number of discharges, and the number of readmissions. I will implement the seven-step procedure (Kahn et al., 2016). I will start by figuring out the project layout and procedure for dealing with re-admissions. Regarding the creation of a plan, deployment and integration are needed. A data-driven methodology may be used to quantify the community quality improvement until the initiative has begun to be implemented into the organizational structure Quality and Performance Improvement In Health Care Paper.
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In order to properly evaluate data and have credible clinical conclusions, the aggregated data method is the best recommended for analyzing utilization. Because of the vast volume of data, aggregated data is better utilized in this situation; the more data, the more comprehensive the results can be, and this will provide significant benefit (Kahn et al., 2016). Whenever the data is collected, an independent risk factor can be discovered. The data collection cannot display correctly if the statistics that have been compiled are not correct. This can be found by comparing the hospital count totals, which are 497, to the totals as a whole, which are 506, for a disparity of 9. A rise in serious diseases including heart failure, kidney disease, and diabetes, to mention a few, may be a possible external risk factor to remember while evaluating this evidence.
Using statistical analysis to assess scientific evidence, a data-driven technique is an accurate and sufficient method (Staw, 2015). The hierarchical data-driven methodology often ensures consistency. Utilizing the data-driven methodology, we will see that the readmission incidence at the SNHU health centers is 12.97 percent after seven months. Since the rehospitalization rate is over 10% at both the SNHU healthcare organizations and the whole state, a quality evaluation of readmission patterns is needed. This will result in prolonged hospital visits, as well as serious events for patients who are readmitted. A quality evaluation may help to increase readmission rates and is needed for quality management.
Since the data does not pertain to particular people, the differences are attributable to a general source. The cumulative discharges and the valid discharges are among the details that can be collected with this data analysis. The estimated readmission rate, total readmissions, and readmission percentage are also included in this statistics. . The quantities of each group were factored into this data, which was collected over an eight-month period. Based on the results, the total number of rehospitalizations for SNHU hospitals during the last eight months is 63.25. The SNHU hospital has a record of 22 readmissions. The highest readmissions for SNHU facility were in March, April, May, and June, mostly attributed to the shift in climate and more individuals planning for spring through doing outside and indoor jobs. January and February were among the lowest months, owing to bad weather conditions that prevented much action, as were July and August as many individuals prepare to go back to school as the summer draws to a close.7 The average projected rehospitalization rate was 542, with a total of 506 readmissions. The risk-weighted readmission rate was 12.97 percent, and the readmission ratio was 0.92 Quality and Performance Improvement In Health Care Paper.
References
Kahn, M. G., Callahan, T. J., Barnard, J., Bauck, A. E., Brown, J., Davidson, B. N., Estiri, H., Goerg, C., Holve, E., Johnson, S. G., Liaw, S., Hamilton-Lopez, M., Meeker, D., Ong, T. C., Ryan, P., Shang, N., Weiskopf, N. G., Weng, C., Zozus, M. N., … Schilling, L. (2016). A harmonized data quality assessment terminology and framework for the secondary use of electronic health record data. eGEMs (Generating Evidence & Methods to improve patient outcomes), 4(1), 18. https://doi.org/10.13063/2327-9214.1244
Shaw, P. L. (2015). Quality and Performance Improvement in Helathcare. American Helath
Information Management Association..https://doi.org/10.1331/japha.2015.15533
Quality and Performance Improvement In Health Care Paper
Healthcare administrators must be able to understand and effectively use performance-improvement methods to further institutional goals and remain compliant with regulatory standards. The administrator role in healthcare organizations may vary, but the administrator’s ability to recognize the role of data in establishing meaningful thresholds for patient safety and quality and ability to analyze information to develop performance-improvement activities are essential. Your final project for this course will require you to place yourself in the role of a healthcare administrator with the responsibility of performing a quality assessment on your organization. Prompt: Your topic for your final project will be a study of readmission trends for SNHU Hospital. For comparison and informational purposes, you have been given a data set representing readmission trends for the entire state of New Hampshire and SNHU Hospital Quality and Performance Improvement In Health Care Paper.
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The third table in your data set shows where patients were readmitted after they were discharged from SNHU Hospital. In this milestone, you will draft the second portion of your written quality assessment focusing on assessment tool, benchmarks, and quality thresholds. Base your responses on how you would gather and approach the data using your data-driven approach. Include the following critical elements: A. You were provided with data regarding readmission trends for SNHU Hospital, along with state-wide data. Discuss how you believe the data was collected and compare that process to the one you would use to collect data if you were the person charged with the task. What data collection tools would you use? Why? Provide research for support. B. Explain your approach to analyzing the data, comparing methods and tools to determine which you will utilize to accomplish your approach. You have studied Lean Six Sigma and Plan, Do, Study, Act (PDSA), along with others. Would one of these methodologies be suited for your approach? Explain why or why not. Be sure to provide research to support your approach. C. What benchmark should be used for assessing the level of quality based on the data given? (Note: You should conduct additional research of comparable institutions to complete this section.) How have other comparable institutions performed regarding the key indicator? What does the data on other institutions suggest might be the goal of this institution? Support your benchmark with appropriate examples and research. (Note the definition of “benchmark” below.) D. What threshold regarding the key indicator should be used for this organization? How will you use this threshold? (Note the definition of “threshold” below.) Benchmark: Quality and Performance Improvement In Health Care Paper
A benchmark is a piece of data used as a comparative. For example, in the last module, you looked at hospital data in your area and compared two hospitals to the national benchmark for several key indicators in the healthcare areas of complications and readmissions. Threshold: A threshold is the lowest level of acceptable performance for an organization. The threshold may be above or below the benchmark. For example, the national rate (benchmark) for hip-replacement complications may be 3.1%, but if your organization prides itself on being a leader in hip replacement, it may set a threshold of 2%. If, then, the organization notes that its hip-replacement complication rate is 2.5%, that would trigger a performance-improvement process because it has exceeded the organization’s threshold even though that rate falls below the benchmark. A different organization with a different focus may have a hip replacement complication threshold of 3.5%—above the benchmark Quality and Performance Improvement In Health Care Paper.