Panel Discussion: Big Data; James McClain, PhD

426 views

Published on

Tuesday, October 23, 2012
Panel Discussion: Big Data

Moderator: Roozbeh Jafari, PhD – Electrical Engineering, UT Dallas
Panelists: Holly Jimison, PhD – Medical Informatics & Clinical Epidemiology, OHSU James McClain, PhD – Physical Activity Epidemiologist , Risk Factor Monitoring & Methods Branch, National Cancer Institute (NCI) Lucila Ohno-Machado, MD, PhD – Associate Dean for Informatics & Technology, School of Medicine; Founding Chief, Division of Biomedical Informatics; Professor of Medicine, UC San Diego

0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
426
On SlideShare
0
From Embeds
0
Number of Embeds
3
Actions
Shares
0
Downloads
3
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide
  • Syntactic and semantic pathways vary based on platform use cases Communications & Permissions 2) Consent 3) Survey 4) Reporting
  • Syntactic and semantic pathways vary based on platform use cases Communications & Permissions 2) Consent 3) Survey 4) Reporting
  • Syntactic and semantic pathways vary based on platform use cases Communications & Permissions 2) Consent 3) Survey 4) Reporting
  • Panel Discussion: Big Data; James McClain, PhD

    1. 1. Big Data vs. Big Information:Leveraging Distributed Data for HealthResearch, Monitoring, and Surveillance James McClain, PhD MPH Risk Factor Monitoring and Methods Branch Applied Research Program National Cancer Institute james.mcclain@nih.gov
    2. 2. Health Monitoring & Surveillance Exploring a Complementary Approach to Assessment• Centralized surveillance systems Potentially Valuable – Optimized for standardization Information – Maximizes control – Limited by data collection capacity or frequency• Distributed surveillance systems – Optimized for sample coverage and frequency Collectable Data – Maximizes ability to Scale • Size, geographic & sociodemographic diversity – Limited by • Ability to capture & distill relevant data • Data quality from existing tools and technologies Potentially Available Information
    3. 3. Developing a Platform forRemote Population HealthMonitoring and Research
    4. 4. Platform Security and Consent Management Platform Registration Module1) Invitation 2) Platform Registration 3) Demographic profile 4) Linkages: Devices/Aggregators Development Modules Deployment Modules Reporting Modules 1) Sampling design 1) Survey Publishing 1) Results / Feedback 2) Study recruitment 2) Assessment Tools 2) Follow-up 3) Survey Design 3) Control Applications 3) Incentives/Rewards Sensors & Data Research & Medical Devices Aggregators Clinical Servers Records• Implants • Cell Phones • Research data EMR’s• On body • Tablets Systems• Near body • PC • Centralized or• In-home sensor • Wireless hubs Federatednetworks • PC connected• In-home hubsPeripheral Tech • Tele-medicine PHR’s• In-vehicle or clinical caresensor networks management systems
    5. 5. Platform Security and Consent Management Platform Registration Module1) Invitation 2) Platform Registration 3) Demographic Profile 4) Linkages: Devices/Aggregators Development Modules Deployment Modules Reporting Modules 1) Sampling design 1) Survey Publishing 1) Results / Feedback 2) Study recruitment 2) Assessment Tools 2) Follow-up 3) Survey Design 3) Control Applications 3) Incentives/Rewards Sensors & Data Research & Medical Data Processing Devices Aggregators Middleware Clinical Servers Records• Implants • Cell Phones • Research data EMR’s• On body • Tablets Systems• Near body • PC • Centralized or• In-home sensor • Wireless hubs Federatednetworks • PC connected• In-home hubsPeripheral Tech • Tele-medicine PHR’s• In-vehicle or clinical caresensor networks management systems
    6. 6. Platform Security and Consent Management Platform Registration Module1) Invitation 2) Platform Registration 3) Health History 4) Linkages: Devices/Aggregators Development Modules Deployment Modules Reporting Modules 1) Sampling design 1) Survey Publishing 1) Results / Feedback 2) Study recruitment 2) Assessment Tools 2) Follow-up 3) Survey Design 3) Control Applications 3) Incentives/Rewards Sensors & Data Research & Medical Data Processing Devices Aggregators Middleware Clinical Servers Records• Implants • Cell Phones • Research data EMR’s• On body • Tablets Systems• Near body • PC • Centralized or• In-home sensor • Wireless hubs Federatednetworks • PC connected• In-home hubsPeripheral Tech • Tele-medicine PHR’s• In-vehicle or clinical caresensor networks management systems
    7. 7. Thank Youjames.mcclain@nih.gov 301-451-4579

    ×