『What Longitudinal Data Actually Contains, with Shashi Shankar』のカバーアート

What Longitudinal Data Actually Contains, with Shashi Shankar

What Longitudinal Data Actually Contains, with Shashi Shankar

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10月19日まで。※適用条件あり
Start with a number. In a registry of about 6,000 patients on GLP-1 medications, roughly 45 percent have taken two or more versions of the drug, most often moving from semaglutide to tirzepatide. The largest published study, about 127,000 adults, puts 12-month switching closer to 20 percent. Nobody can fully verify either figure, because no single system holds the whole record. Shashi Shankar spent nearly a decade at Genentech working on real world data before co-founding Novellia, where he is chief executive. The product pulls a patient's records out of every patient portal they have ever logged into, across roughly 25 years of care. Biopharmaceutical researchers pay for de-identified access. Patients never pay at all. He and Dr. Sarah Matt walk through where records actually fragment: community clinic to lab to academic specialist, and inside a single health system when the hub and the community site sit two hours apart. Shankar describes the load carried by family caregivers, and explains why he considers tokenized data brokerage a poor substitute, with each join between data sets hitting at 15 to 20 percent and leaving a snapshot frozen in time. Matt presses on the part still unsolved: the record reaches the patient, and it still does not reach the prescriber. Find Shashi: novellia.com | search his name with Novellia on LinkedIn

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Disclaimer:
The views expressed on this podcast are those of Dr. Sarah Matt and her guests. They do not necessarily reflect the official policy or position of any affiliated institutions. This content is for informational and educational purposes only and does not constitute medical advice or a professional consulting relationship.
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