Big Data in Health Sciences An India Prospective

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1 Big Data in Health Sciences An India Prospective Government Industry Dialogue 24 th Nov

2 Views presented are Individual views only 2

3 Healthcare Ecosystem Stakeholders and Influencers Drugs and Devices Private Care Providers Public General Physician Drugs Device Biologics Controllers FDA MCI Health Workers Specialty services Ancillary Policy Makers Payer Administrators Planners Private Public Self Researcher Environment Scientific Clinical Public Health Social Climate Economic Wellness Alternate Medicine Lifestyle Homeopathy Ayurveda 3

4 The questions in healthcare are fundamentally information challenges What works Why it works Validated evidence Mechanism of action Who it works for Precision Care What works best When it should be used primarily Comparative effectiveness Best practices guidelines 4 Adapted from Dr. George Poste; The Biodesign Institute, June 2008

5 The questions in healthcare are fundamentally information challenges Should Indian population be administered Gardasil vaccine? What works Why it works Who it works for What works best When it should be used primarily Evidence of efficacy and safety Is there a disease burden Patient stratification (Risk based /Ethnicity/ Affordability) Is there an alternative Cervarix vs. Gardasil Trials Data Post Marketing data EMR/EHR Data Outcomes Patient registries 5 Adapted from Dr. George Poste; The Biodesign Institute, June 2008

6 The questions in healthcare are fundamentally information challenges What are the likely high risk vector borne diseases by Geographical area. What measures have possibly a high rate of success in containing these epidemics Weather and Sensor Data Historical Cases Geospatial data Population demographics Lifestyle, Hygiene, locations Crowd/Population Symptoms Vector growth and mutations data Structured Data Unstructured data Continuous Data flow Large Data Sets Patient Clinical Data/Labs Historical Cases Water Flooding data Healthcare resources data (Equipment, medication, Donors, Health Workers, Municipal workers) Water pollution Data 6 Adapted from Dr. George Poste; The Biodesign Institute, June 2008

7 Velocity Big Data in Health Patient Clinical Data Genetic data Clinical Notes Family history Vaccinations Medial diagnostics Volume Healthcare Big Data Reimbursement/Spending data Environment data Home care data Lifestyle data Clinical Trials Data Variety Adverse events data Social Media data Online health forums Emergency room data Patient behavior Veracity Reference data Pharmaceutical data Bed occupancy and patient traffic Epidemiology Data Hygiene Data 7

8 Few Big Data Use Cases in Healthcare Translational research Evidence based medicine Disease Surveillance Patient safety Health Economics Patient Behavior Strategic Planning Predictive analysis Patient Engagement Real world outcomes Medical Research Operational optimization 8

9 Technologies and Architectures Big data in Healthcare Traditional Data Warehouse Hadoop 9

10 Big Data Roadmap for India Strengthen Data Capture Digitize Primary sources of Data Capture Once use multiple times HIEs, EMRs, Insurance etc as data Multi Agency Collaboration Establish Data Management practices Centralized Data Management Multi source data Management policies and procedures Multiple repositories and Channels Data Grids Data Banks Data and Information Dissemination By Role context and authority Multi source data Management policies and procedures Privacy and Confidentiality Dissemination of Data Data and Tools or results Governance and Collaboration 10

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