1. Population Health Management November 3, 2015

2. Sharp Health Care Sharp is a not-for-profit integrated regional health care delivery system based in San Diego, California. Sharp includes: four acute-care hospitals, three specialty hospitals, two affiliated medical groups and a health plan, plus a full spectrum of other facilities and services. Today, Sharp serves approximately three million people in San Diego, southern Riverside and Imperial counties. 2

3. Sharp’s Complexity Operational Facilities: 7 Sharp Hospitals 4 Acute Care Hospitals (2,327 beds) 3 Specialty Care Hospitals (962 beds) > 2,600 physicians on staff at Sharp hospitals throughout the county Sharp Medical Groups Sharp Rees-Stealy - Multi-specialty medical group 470 Physicians 21 locations Sharp Community Medical Group - IPA Medical Group 200 Primary Care Physicians 500 Specialty Physicians Sharp Health Plan - Sharp Medical Health Plan 108,000 Plan Participants 3

4. Sharp Health Care And Population Health Management Sharp Health Care has a commitment to excellence and a passion for caring. This is seen through the Sharp Experience, which is a sweeping performance improvement initiative that strives to provide; cutting edge advances in clinical outcomes, enhancements patient safety and improvements in service to our community. Sharp Health Care’s population health management initiative provides the focus for increasingly complex analytics for the proactive and preventative management of our patient population. Our hospitals, medical groups and health plan have health care analysts responsible for analyzing and reporting our population’s care needs and those needs continue to grow. 4

5. Population Health Promotes Focus on the Triple Aim 5 Better health for population Cost effective Care Better Care for Members

6. Data Analytics Help Us Understand Our Population and Patient Needs 6 Big data Population analytics Member stratification

7. Big Data: Integrating three types of data 7

8. Breakthrough Solutions in Population Health Management: “Must Haves” 1.Must break down silos of data 2.Must provide the end user with information not data 3. Must integrate with existing workflows 4. Must engage patients and providers seamlessly 5. Must apply analytics that will drive action 6. Must include Behavioral Health, Social health, and Financial health 8

9. PMH: Comprehensive Risk Based Predictive Modeling/ Member Targeting 9