A Policy Framework for leveraging Big Data to improve healthcare quality is proposed. Federal and Provincial delivery of policies are discussed.

1. BIG DATA IN
HEALTHCARE :
POLICY
IMPLICATIONS
IN
CANADA
Srinivas Garlapati
Healthcare Policy
HESA 6310

2. IBMbigdatahub.com
The University of Ontario Institute of
Technology teamed with IBM Research and
the Toronto Sick Kids hospital to develop a
highly flexible platform, Project Artemis,
aimed
at helping physicians make better, faster
decisions in patient care.

3. ProjectArtemis’ first test
was to determine how to
detect nosocomial
infection
sooner, taking advantage of
the streaming physiological
data from monitors.

4. Solution Components
IBM InfoSphere™ Streams• IBM DB2®
IBMbigdatahub.com
Using specially-designed
algorithms to perform real-time
analytics, ProjectArtemis can spot
certain anomalies as soon as they
appear.

5. IBMbigdatahub.com
As a result, physicians can
provide critical treatment to
infants up to 24 hours before
the infection gets worse—
making a life-saving
difference.

6. Learn more about ProjectArtemis in the full case
study.
http://ibm.co/bighealth
IBMbigdatahub.com
Different organizations are now utilizing
ProjectArtemis’ early-warning
capabilities
for other conditions that can be detected
through subtle changes in data streams,
such as brain ischemia and cardiac care.

8. BIG DATA IN HEALTHCARE
Pharma and
Life
sciences
Clinical
Decision
Support and
Trends
Claims,
Utilization &
Fraud
Patient
Behavior /
Social
Networking

9. HOW DO WE CREATE VALUE
Personalized
Medicine
Clinical
Support
System
Population
Health
Analytics for
Lifestyle and
Behavior
induced
diseases

10. IMPLICATIONS IN HEALTHCARE
10
Source: http://www.alphasixcorp.com/images/big-data-infograph.jpg

11. BIG DATA APPLICATIONS
Data
Management
25%
Direct
Intervention
23%
Retrospective
Insight
33%
Predictive
Power 19%

13. • Healthcare Costs
• Health Reforms
• Data Storage
• Data Analytics
• Data Privacy
• Data Poverty
POLICY CONTEXT

14. POLICY ACTORS
• Government
• HCOs
• Analytics Companies
• Health Professionals
• Patients/Population
• Regulatory Bodies

15. • Balance of Privacy & Applications
• Data Sharing and Integration
• Who Pays and Who Gains
• Healthcare Professional Bodies
• Patient Advocacy
POLICY CONTENT

16. • Legislation & Law
• Debate and Discussions
• Experiential knowledge
• Applications
POLICY PROCESS
• Value – Economic & Health