Reference no: EM133832052
Homework: Data-driven Decision-making in Complex Systems
Across healthcare settings, a vast amount of information is collected and analyzed to assess organizational outcomes regarding quality, safety, and efficiency. The analysis of this data is used to measure organizational performance and to drive strategic decision-making within the system. The purpose of this homework is to examine one specific data point and how it contributes to the assessment of quality, safety, and/or efficiency within the healthcare system. The importance of the selected data point, how it shapes decision-making, and implications for healthcare systems will be discussed.
A printed version of these homework guidelines are available below.
ePortfolio: This homework will also be a part of your ePortfolio. Students are encouraged to follow the guidelines for creating the ePortfolio by clicking "ePortfolio" on the course home page.
* Note: According to the current edition of the APA manual, a running head is no longer an APA requirement. Please disregard the reference a running head requirement in the below video and transcript.
Learning Outcomes
I. Determine strategies to support efficiency and the responsible use of healthcare resources.
II. Develop problem-solution strategies for a selected issues within the healthcare environment.
Overview
Consider how data analysis contributes to safe, high quality, efficient delivery of healthcare. Investigate the role of information management in the evaluation of outcome achievement and provision of data to drive strategic decision-making. Identify one specific data point for which information is collected within a healthcare system. Develop a 4 to 6 pages paper to address the rubric expectations; use a minimum of 5 scholarly sources to support your work.
I. Provide an introduction to the paper.
II. Explain one selected data point and the purpose for the collection of this data within the healthcare system. Describe how this data point measures quality, safety, and/or efficiency within the system. Discuss one internal or external benchmark surrounding this data point that serves as a measure or indicator of success.
III. Describe a case scenario where outcomes regarding this data point fall short of meeting the required benchmark. Identify the stakeholders impacted by the poor outcome, and the consequences realized by each stakeholder. Discuss the potential impact on organizational quality, safety, and/or efficiency that results.
IV. Describe how outcomes surrounding this data point reflect organizational performance regarding quality, safety, or efficiency. Explain how the data in the case scenario can inform strategic decision-making to improve organizational outcomes. Create an action plan to correct the poor outcomes noted in the case scenario. Explain the action steps, stakeholder involvement, influencing factors that will impact the plan.