Deliverable 2 – Assessing Data Sets for Population Health Management

Effective population health management strategies depend on evaluating essential data sets to support decision-making in healthcare organizations and address community needs.

Scenario

W. Edwards Deming, who many consider the father of quality management, espoused the importance of using data for decision making. Leaders in healthcare often turn to his principles to ensure programs remain grounded in reliable evidence. As a healthcare leader responsible for managing your healthcare organization’s population health management program, you will find that relevant, accurate, and current population health data is an essential part of your management toolkit. The exploration of data sets not only deepens your understanding of population health but also expands your awareness of the role of data in both the healthcare delivery system and in the way healthcare leaders can prioritize community needs. Such insights help in aligning resources more effectively with real-world demands.

Data sets from federal and state resources, as well as from private foundations and academic medical centers are critical components for promoting evidence-based population health management programs. For this assessment, you will explore and assess the impact of data and information on population health programs and initiatives. Gathering these resources allows for a more informed approach to program development and evaluation.

Instructions

Based on the knowledge you acquired about your local population healthcare in the module 01 summative assessment, your health system Board of Directors is requesting that you prepare an executive summary. Incorporating details from that prior work ensures continuity in addressing specific local challenges. This executive summary should identify the data sets needed to support your health system PHM program and assess the role information and data sets play in empowering your health system population health management program. Analyzing these elements highlights how they contribute to overall program success.

Conduct a review of your local health system or any regional health system. Familiarize yourself with the relevant population healthcare needs. In your executive summary, provide a few reasons why successful health management programs need relevant, current, and accurate data sets. These reasons can draw from practical examples observed in your review to make the summary more relatable.

You should use five quality references to support your assessment and findings in this assessment. Selecting recent sources strengthens the credibility of your arguments.

***MUST USE INFORMATION FROM THE FIRST ASSIGNMENT*** I HAVE ATTACHED IT***

Sample Executive Summary Content

Healthcare organizations must prioritize robust data sets to enhance population health management initiatives and meet community-specific needs. Federal resources like those from the Centers for Disease Control and Prevention provide vital statistics on chronic diseases, enabling targeted interventions. State-level data from health departments offers localized insights into demographic trends, which support customized program designs. Private foundations contribute specialized datasets on social determinants of health, fostering comprehensive strategies. Academic medical centers supply research-backed information that informs evidence-based practices. Integrating these sources empowers leaders to allocate resources efficiently and improve outcomes. As noted in a study on data-driven approaches, “population health management benefits significantly from integrated data systems” (Alemi et al. 2022, https://doi.org/10.3389/fpubh.2022.834403).

• Write a 750-1000 word case analysis comparing lease versus purchase for a CT scan unit, including calculations for principal, interest, maintenance, total, and PV expenses based on provided tables.
• Prepare a 4-6 page paper analyzing lease vs purchase options for hospital equipment, completing financial tables with detailed computations and supporting research.
• Use the tables to compare leasing and purchasing, calculate key financial figures, and discuss implications in a written case analysis.

Recommended References

• Alemi, F., Levy, C. R., Kogut, S. J., Tighe, E., Williams, A. R. and Zargoush, M. (2022) ‘Artificial intelligence for population health management: A review and roadmap’, Frontiers in Public Health, 10, p. 834403. Available at: https://doi.org/10.3389/fpubh.2022.834403.
• Stoto, M. A., O’Hanlon, C. E. and Al-Ibrahim, A. (2019) ‘Population health measurement: Applying performance measurement concepts in population health settings’, eGEMs (Generating Evidence & Methods to improve patient outcomes), 7(1), p. 22. Available at: https://doi.org/10.5334/egems.293.
• Gourevitch, M. N., Cannell, T., Boufford, J. I. and Singh, T. (2021) ‘Using data to advance health equity in population health management’, American Journal of Managed Care, 27(10), pp. 426-431. Available at: https://doi.org/10.37765/ajmc.2021.88747.
• Kindig, D. A. and Isham, G. (2023) ‘Population health improvement: A systems approach’, Health Affairs, 42(2), pp. 186-194. Available at: https://doi.org/10.1377/hlthaff.2022.01345.