Three Experience Pillars of Personal Health...Intel Health & Life Sciences Where information and...

Intel Health & Life Sciences Where information and care meet

Three Experience

Pillars of

Personal Health

Eric Dishman

Intel Fellow & General Manager,

Intel Health and Life Sciences Group


Entrepreneurial caregiver, patient,

scientist

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Intel Health & Life Sciences Where information and care meet 3

Studied history of healthcare

paradigms…


4

Studied future of demographics, now

here

Source: United Nations Department of Economic and Social Affairs 2007b.


Must ‘shift left’: mainframe to personal

health

Chronic Disease

Management

Community Clinic Independent

Healthy Living

Doctor’s Office

Home Care

Skilled Nursing

Facility

Assisted Living

Residential Care

ICU

Community

Hospital

Specialty Clinic

Acute Care

Quality

of Life

Cost of Care

5

Level of provider skill


Distributed care

infrastructure/workforce…


Main Hospital

Fitness Center

Church

Home Care Agency

Retail Pharmacy

Chiropractor

Public Library

Long Term

Care Facility

Therapist

Grocery Store

Primary Care Office

Neighbor Caregiver

Patient’s House

Favorite Restaurant

Employer

Distributed care

infrastructure/workforce…


9

?

Personalized: from population to

person


? Claims

Data

Consumer

Generated

Behavioral

Data

Lab

Data

Genomic

Data

Clinical

Data

Trials

Data

Real Time

Vitals

Imaging

Personalized: from population to

person


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Care Networking Shift from solo to team-based,

connected care across orgs & systems

Care

Customization Shift from population-based to person-

based treatment (body, behavior, bio)

Care Anywhere Shift from institutions to mobile, home-

based, & community care


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Care Networking

1

2

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


Shift from institutions to mobile, home-based, &

community care

13

Care Anywhere

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


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Care Customization

1

4

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”


Majority of People Believe the

Traditional Hospital Will Become

Obsolete

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Global US Japan France Italy Brazil China India Indonesia

Agree 57 45 42 45 54 65 52 86 60

Disagree 44 55 58 55 46 35 48 14 40

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, 2013.

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 www.intel.com/newsroom/healthcare.


Public Is Ready to Be Part of the

Solution

Are optimistic about healthcare in

terms of innovation and

technology.

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> 80% > 70% 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

Would share information

anonymously in order to reduce

healthcare costs or improve

treatment.

Are receptive to using toilet sensors,

prescription bottle sensors, or

swallowed health monitors.


Some govt’s are ready: age friendly cities,

China

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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.

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Broaden Views:

models &

workflows Combine

Forces:

PH movement! Drive Pay for

Quality,

=real innovation

Was Care Delivered in the Safest, Least

Restrictive, & Preferred Setting That the

Patient Chose?

‘Health tech’ community’s

challenges…


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http://images.google.com/url?sa=i&source=images&cd=&cad=rja&docid=MV9M6etpx35QoM&tbnid=XEcAgXhp88TWaM:&ved=0CAgQjRwwADgx&url=http://www.bpovia.com/blog/china-economy/chinas-urbanization.html&ei=BmFYUbfZLeHniALRiIDwDA&psig=AFQjCNGoqPwB93x3Yv6A4I1eoIdXRE4fiQ&ust=1364832902781473


By 2020, drive 90% of

care for older people to

the home! Current 5-year

national plan to drive age

friendly cities.

China competing to lead personal

health with age-friendly communities

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