BIG DATA IN HEALTHCARE :POLICY IMPLICATIONS IN CANADASrinivas Garlapati

Healthcare Policy

HESA 6310

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.

Project Artemis’ first test was to determine how to

detect nosocomial infection

sooner, taking advantage of

the streaming physiological

data from monitors.

Solution ComponentsIBM InfoSphere™ Streams •

IBM DB2®

IBMbigdatahub.com

Using specially-designed algorithms to perform real-time

analytics, Project Artemis can spot certain anomalies as soon as they

appear.

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.

Learn more about Project Artemis in the full case study.

http://ibm.co/bighealth

IBMbigdatahub.com

Different organizations are now utilizing Project Artemis’ early-warning

capabilities for other conditions that can be detected through subtle changes in data streams,

such as brain ischemia and cardiac care.

BIG DATA IN HEALTHCARE

Pharma and Life sciences

Clinical Decision Support

and Trends

Claims, Utilization & Fraud

Patient Behavior /

Social Networkin

g

HOW DO WE CREATE VALUE

Personalized

Medicine

Clinical Support System

Population Health

Analytics for

Lifestyle and

Behavior induced diseases

IMPLICATIONS IN HEALTHCARE

10

Source: http://www.alphasixcorp.com/images/big-data-infograph.jpg

BIG DATA APPLICATIONS

Data Manage-

ment 25%

Direct In-tervention

23%

Retrospec-tive Insight

33%

Predictive Power 19%

• Healthcare Costs• Health Reforms

• Data Storage• Data Analytics• Data Privacy• Data Poverty

POLICY CONTEXT

POLICY ACTORS

• Government• HCOs

• Analytics Companies• Health Professionals• Patients/Population• Regulatory Bodies

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

POLICY CONTENT

• Legislation & Law• Debate and Discussions• Experiential knowledge• Applications

POLICY PROCESS

• Value – Economic & Health