Speakers

David Putrino, PT, PhD

Director, Abilities Research Center; Assistant Professor, Rehabilitation and Human Performance, Icahn School of Medicine, Mount Sinai

David is physical therapist with a PhD in Neuroscience. He worked as a clinician in Australia, before moving to the United States to study computational neuroscience at Harvard Medical School, MIT and NYU. He has served as a faculty member at Weill-Cornell Medicine and Burke Medical Research Institute.

He is currently the Director of Rehabilitation Innovation for the Mt Sinai Health System, and an Assistant Professor of Rehabilitation Medicine at the Icahn School of Medicine at Mt Sinai. He works to develop innovative technology solutions for individuals in need of better healthcare accessibility.

He consults with the Red Bull High Performance division to use evidence-based technologies to improve athletic performance. He is also the “Chief Mad Scientist” of Not Impossible Labs, a group that crowd-sources accessible technological solutions for high-impact humanitarian problems. David’s research has been featured on the ABC, Sport’s Illustrated, the Wall Street Journal, the BBC, Time, Wired and the LA Times to name just a few.

Speaker Sessions

15 – How Real-World Data Can Rescue Clinical Trials and Save Lives (Panel) (Clinical, Life Sciences; Course Level-Beginning)

Every year clinical trials of vital therapies are canceled, not because the therapy isn’t promising but because of issues with trial feasibility or cost. This hurts all stakeholders: patients, healthcare providers, and pharmaceutical companies. Making trials more cost-effective and feasible means improving the way participants are identified and enrolled while also cutting the time and labor of collecting data. Many researchers say real-world evidence in the form of multiple-source enterprise data warehouse (EDW) data is the answer, but this requires bridging some gaps in interoperability and security. Learn from panel experts who work in all facets of clinical trials in this discussion about the promises and challenges of integrating EDW data into clinical trials.