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Data Analytics and Population Health Management

Provider organizations, researchers, and policymakers are becoming more sophisticated users of a growing body of data about health and healthcare. Adoption of IT and data analytics will enable better decision making in caring for individual patients and also in managing population health. Also, patients are using IT to transform healthcare from a passive to an active experience. Research based on richer, more real-time data will inform policy decisions in all parts of the healthcare system. For this assignment: 1.Discuss at least two ways in which provider organizations can use population-level analyses for performance improvement. 2. Assess some critical success factors for data analytics implementation and unintended consequences of inserting information technology into healthcare workflows. 3. Must provide a minimum of four (4) current quality references, two (2) references must be current peer-reviewed articles. Supplemental Readings and Resources Peer-reviewed Articles: Shaban?Nejad, A; Lavigne, M; Okhmatovskaia, A; Buckeridge, D (2017). PopHR: a knowledge?based platform to support integration, analysis, and visualization of population health data. Annals of the New York Academy of Sciences, 13871(1), pp.44-53 Roosan, Do; Del Fiol, G; Butler, J; Livnat, Y; Mayer, J; Samore, M; Jones, M; Weir, Ch (2016). Feasibility of Population Health Analytics and Data Visualization for Decision Support in the Infectious Diseases Domain: A pilot study. Applied clinical informatics, 2016, .7(2), pp.604-23. Felkey, B; Fox, B (2015). How Population Health Management and Big Data Can Rock Your World. Hospital Pharmacy, 50(9), pp.840-1.