johns hopkins whiting school event: big ideas in healthcare big data

“Big Ideas on Big Data” in Healthcare

Johns Hopkins UniversityWhiting School of Engineering

Boston Alumni EventDecember 9, 2013

Guy Shechter, PhD MBA

Disclosure: G. Shechter is an employee of Philips Healthcare (Andover, MA).

Today, big data in healthcare is a focus on

Variety and Veracity.

Only then will we be better prepared for

Volume and Velocity.

Gartner IT Glossary

The Triple AimA Framework for Improvement in Healthcare

Per Capita Costs

Population Health

Experience of Care

Institute for Healthcare Improvement

Improve the experience of care

Patients are being increasingly empowered to digitize themselves.

• 500k customers have taken advantage of low-cost genetic profiling

• Quantified-self movement enables individuals to create and analyze their own physiological and behavioral data

Big Idea: Integration of personal health data with non-medical* data will broaden our understanding of epigenetic effects on individual well-being.

*e.g. environmental, behavioral

Improve the health of defined populations

Large scale, multi-dimensional*, clinical datasets will

• Improve our understanding of the effectiveness of alternative therapies

• Enhance data driven patient specific decision making

• Inform the efficient allocation of resources across a population of patients.

Big Idea: Real time data-driven decision networks will accelerate the pace of discovery by simplifying identification and recruitment of subjects for clinical trials.

*medical records, lab tests, pathology, genomics, radiologic images, physiologic sensors, etc.

Reduce the per capita costs of healthcare

Rising national healthcare expenditures, as a percent of GDP, are forcing governments to take action.

• Incentives and penalties to improve the value of healthcare services.

• Increased transparency and reporting requirements for outcomes, quality, and cost.

• Open data initiatives and the Data Liberation movement.

Big Idea: The availability of high quality clinical and outcomes data integrated with cost data across settings-of-care will lead to widely accepted and validated care pathway models.

Speed Traps for Big Data in Healthcare Medical RegulatoryNovember 25, 2013

Data Ownership & Privacy ProtectionDecember 6, 2013