Three Experience Pillars of Personal Health Eric Dishman Intel Fellow & General Manager, Intel Health and Life Sciences Group
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1 Three Experience Pillars of Personal Health Eric Dishman Intel Fellow & General Manager, Intel Health and Life Sciences Group
2 Entrepreneurial caregiver, patient, scientist 2
3 Studied history of healthcare paradigms 3
4 Studied future of demographics, now here 4 Source: United Nations Department of Economic and Social Affairs 2007b.
5 Must shift left : mainframe to personal health Level of provider skill Home Care Quality of Life Independent Healthy Living Chronic Disease Management Community Clinic Doctor s Office Residential Care Assisted Living Skilled Nursing Facility Acute Care Specialty Clinic Community Hospital ICU Cost of Care 5
6 Distributed care infrastructure/workforce
7 Distributed care infrastructure/workforce
8 Distributed care infrastructure/workforce Retail Pharmacy Patient s House Fitness Center Neighbor Caregiver Church Favorite Restaurant Primary Care Office Grocery Store Home Care Agency Main Hospital Long Term Care Facility Employer Public Library Chiropractor Therapist
9 Personalized: from population to person?
10 Personalized: from population to person Trials Data Imaging Clinical Data? Real Time Vitals Claims Data Genomic Data Lab Data Behavioral Data Consumer Generated
11 Care Networking Shift from solo to team-based, connected care across orgs & systems Care Anywhere Shift from institutions to mobile, homebased, & community care Care Customization Shift from population-based to personbased treatment (body, behavior, bio) 11
12 Care Networking Shift from solo to team-based, connected care across orgs & systems Skill-shift to patients/family via web Community health worker training Care coordination SW tools Analytics for patient/risk stratification Clinical decision support for groups Real-time quality analytics 12
13 Care Anywhere Shift from institutions to mobile, home-based, & community care Place-shift care via telehealth Virtual visits on smart phones Real-time diagnostics/monitoring Self-care coaching agents Consumerized medical devices Trusted mobility for clinicians 13
14 Care Customization Shift from population-based to person-based treatment (body, behavior, biology) Customized to body, behaviors, biology Genomics, proteomic data for individuals Health analytics Predictive modeling of individuals Precision therapies, drug customization Tissue generation & designer organs 14
15 Majority of People Believe the Traditional Hospital Will Become Obsolete Global US Japan France Italy Brazil China India Indonesia Agree Disagree The Intel Healthcare Innovation Barometer conducted online by Penn Schoen Berland on behalf of Intel in Brazil, China, France, India, Indonesia, Italy, Japan and the United States from July 28 to Aug. 15, N=12,000 adults (18 and older), margin of error of plus or minus 0.89 percentage points. For additional information on the Intel Healthcare Innovation Barometer, visit 15
16 Public Is Ready to Be Part of the Solution > 80% > 70% Are optimistic about healthcare in terms of innovation and technology. Would share information anonymously in order to reduce healthcare costs or improve treatment. Are comfortable seeing a doctor for a non-urgent appointment via communications technology 88 and 94 percent in China and India, respectively Half would trust a diagnosis via video-conference Are receptive to using toilet sensors, prescription bottle sensors, or swallowed health monitors. 16
17 Some govt s are ready: age friendly cities, China 1. Define care model with staffing ratios, training, & standards of care (best practices) 2. Work with the government to lay out the business model for all of the ecosystem stakeholders 3. Define technology, standards, & infrastructure to deliver those experiences 4. Fourth, pilot & iterate. 17
18 Health tech community s challenges Broaden Views: models & workflows Combine Forces: PH movement! Drive Pay for Quality, =real innovation 18 Was Care Delivered in the Safest, Least Restrictive, & Preferred Setting That the Patient Chose?
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21 China competing to lead personal health with age-friendly communities By 2020, drive 90% of care for older people to the home! Current 5-year national plan to drive age friendly cities. 21
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