M-CERSI Workshop Envisioning the Future of Mobile Informatics

M-CERSI Workshop  Envisioning the Future of Mobile Informatics

M-CERSI Workshop Envisioning the Future of Mobile Informatics Isaac Chang, Ph.D. Director Division of Postmarket Surveillance Office of Surveillance and Biometrics Center for Devices and Radiological Health Overview I. What DPS does II. The Brick Model III. Where Social Media Fits 1 Division of Postmarket Surveillance M-CERSI Workshop Envisioning the Future of Mobile Informatics

What does DPS do? Purpose: To conduct global post-market surveillance of medical devices and related emerging technologies through the regulation, collection, integration, and dissemination of adverse event data to identify and communicate actual and/or potential public health risks to FDA and public stakeholders. How we achieve our goal: Establish, interpret, and enforce requirements for medical device reporting (21 CFR Part 803Medical Device Reporting); and provide outreach and education to FDA and public stakeholders to help them understand the requirements of the medical device reporting regulation. Monitor, analyze and synthesize adverse event data to identify signals (of new device issues) and trends (of known device issues); and to ensure that CDRH effectively uses adverse event report data in premarket review, postmarket evaluation studies, compliance and enforcement matters, and timely public health communications in support of the CDRH mission.

Lead the continuous refinement and maintenance of the IT postmarket infrastructure to efficiently receive, process, retrieve , and analyze adverse event data in support of CDRH and FDA offices. 2 Division of Postmarket Surveillance M-CERSI Workshop Envisioning the Future of Mobile Informatics Medical Device Landscape 3 Division of Postmarket Surveillance M-CERSI Workshop Envisioning the Future of Mobile Informatics Medical Device Landscape 4 Division of Postmarket Surveillance M-CERSI Workshop Envisioning the Future of Mobile Informatics

Best Use of MDRs Qualitative profile of adverse events for a device or device type Device use in real world Types of malfunctions/clinical events. Vulnerable populations (i.e. Pediatrics, etc.) Monitor device performance Time to event and failure modes New types of issues with approved devices Monitoring long term device use Signal detection Rare, serious, or unexpected events Change in severity of expected events

Use error/human factors issues 5 Division of Postmarket Surveillance M-CERSI Workshop Envisioning the Future of Mobile Informatics Context is Important Dow Jones Industrial Average US Govt unveiled rescue of AIG Successive Interest Rate Drops Stimulus plan Hurricane

Katrina 9/11 Tensions Between N. andS. Korea US loses AAA Credit Rating TARP War concerns and bad corporate outlook Data Source: Timelines of History Database 6 Division of Postmarket Surveillance M-CERSI Workshop Envisioning the Future of Mobile Informatics

The Brick Model Social Media PERCEPTIONS Orientation Incentives BEHAVIORS Models Patterns/ Mechanism TRENDS Forecasts EVENT

Resource Allocation Interpretations Signals OUTPUT OUTCOME 7 Division of Postmarket Surveillance M-CERSI Workshop Envisioning the Future of Mobile Informatics New approaches for Social Media Focus on the right target What is happening ----> Why is it happening Confirmation of signals ----> Trend drivers What are we seeing ----> What should we be seeing

Weather analogy College Park 86 Dallas 94 Chicago 67 8 Division of Postmarket Surveillance M-CERSI Workshop Envisioning the Future of Mobile Informatics Summary Big Data Analytics is always built around what you are trying to find. The goal of analyzing Big Data is to re-focus efforts on the right problems. Play to the strengths of social media explaining behavior and understanding how people think about issues. 9 Division of Postmarket Surveillance

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