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Population Health Management 101

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With the highest infant mortality rate among the OECD nations, the challenges US faces are humongous. When spending trillions of dollars didn’t help, Obama government’s think-tank came up with Population Health Management. It has shown a lot of promise, but there is a lack of an organized approach.

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Population Health Management 101

  1. 1. Population Health Management 101 The one where it all starts
  2. 2. Population Health Management Charles-Edward A. Winslow, when establishing the Yale Department of Public Health defined Population Health Management as: “The science and art of preventing disease, prolonging life, and promoting health through the organized efforts and informed choices of society, organizations, public and private communities, and individuals.”
  3. 3. The State of U.S. Healthcare U.S. spends $4197 per capita on health care, but it covers only 34% of its population. In 2013, US allotted 17.1% of its GDP to healthcare; highest by any OECD country. According to a report by the Commonwealth Fund:
  4. 4. Infant mortality rate in the US was also higher than other OECD nations. 68 percent of the 65+ population in the US is suffering from two or more chronic conditions. The State of U.S. Healthcare
  5. 5. Need for Population Health Management The major cause of these problems is the lack of knowledge about population trends.
  6. 6. Benefits of PHM With holistic population trend analyses, better decision making. Enhanced patient engagement of at- risk population. Better care delivery for acute episodes. Patient-centric care with efficient Care Coordination Cost-effective quality value-based care.
  7. 7. 1. Inefficient inter and intra organization Data flow 2. Lack of required HealthIT infrastructure for advanced analytics and evidence-based decision making 3. Incomplete and unstructured data of population 4. Change management Barriers in Implementation
  8. 8. The Road Ahead Developing interoperability standards for EMRs to align with patients and track their information. Have greater focus on using data to make care team efficient. Structuring patient data to help make better decisions. Shifting to value over volume.

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