The document is from the Intelligent Health Lab and discusses several topics: 1. The Lab's director and its affiliation with Harvard. 2. The potential for an "App Store for Health" where innovators can create and distribute apps across EMR systems, similar to app stores for smartphones. 3. The vision of a "Learning Health System" where evidence is continuously generated from patient data to improve outcomes over time.

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Kenneth D. Mandl, MD, MPH
Director, Intelligent Health Laboratory
Children’s Hospital Informatics Program
Center for Biomedical Informatics, Harvard
The App Store for Health:
Co-opting the Point of Care
in the Era of the Affordable Care Act

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US Spending per capita vs. Life Expectancy

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Learning Health System: Evidence Generated
from a Well-Instrumented Health System

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? How do we learn from
“All the Patients . . .
All the Time?”
(Instead of Some of the
Patients All of the Time . . . )
. . . or really, just a couple of
the patients, not that often.

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Dr. Collins discussing the
Rapid Learning Network

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WITHOUT ACCESS TO THE
POINT OF CARE,
EVERYTHING IS A ONE-OFF

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Intelligent Health Laboratory | Children‘s Hospital Informatics
Program

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Returning Genomic Medicine Results

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The App Store for Health
ONC Funded Research $15M Project under the
“SHARP” program

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Can EMRs behave
like iPhones or
Androids in that
innovators
readily create and
widely distribute
apps across
thousands of
installs?

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Our vocabulary
 Data Sources
Managed by containers
 Containers
Present data from data sources to apps in a uniform
fashion
 Apps
Completely substitutable

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18.12 Issue

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State-of-the-Art ???

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1 Design + 1 Developer + 1 Week

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1 SMART App in 3 SMART Systems

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Well-publicized

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SMART
BP Centiles App
Running on Cerner

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Medication adherence
JAMIA 2011

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Decision Support Integration
e.g., Immunization Forecasting

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Monograph app
e.g., Diabetes

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Mashups:
e.g., Genomic Medicine: There’s an App for that
 Linkage to external
decision support
services
 Pharmacogenomic
rule sets
 Decision support
for doctors—
associations

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Collaborators and Implementers
 EMR Vendors
 Payors
 Pharma
 Major tech companies complementing or competing
in the EHR space
 Large-scale health systems

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