A new study by Consortium collaborator Kingshuk Sinha illustrates troubling lags in the recall of flawed medical devices. In the paper, Prof. Sinha, a professor in the University of Minnesota's Carlson School, "applied digital analytics to millions of medical device product reports and recall records" to reveal what Sinha calls "under-reaction bias," according to the Minneapolis Star Tribune. The article details efforts by the Food and Drug Administration to use data-mining to improve surveillance of health technology. However, despite robust evidence that problem devices can have significant negative health effects, such adverse-event reports aren't consistently sought or entered into the federal tracking system, known as MAUDE. Prof. Sinha was one of the presenters in the recent Deinard Memorial Lecture on Law & Medicine, How Patients Are Creating Medicine’s Future, during which he shared Big Data and supply chain perspectives on health improvement; a video of that event can be viewed here.
This grant provides funds for the Patient-Centered Network of Learning Health Systems (LHSNet) to participate in PCORnet, a unique collaborative designed to link researchers, patient communities, clinicians, and health systems in productive research partnerships that leverage the power of large volumes of health data maintained by the partner networks. LHSNet includes partners across six states and nine academic medical centers, healthcare systems, public health departments and private health plans touching approximately 10 million individual lives, including patients in underserved and rural areas.