Healthcare Data Series 3/5: Palantir Foundry and Making Data-Driven Decisions in Healthcare

This is the third episode in a series of discussions about healthcare data challenges and data management practices in the US. One thing is clear to everybody: regardless of the efforts, patient data is still scattered around in different organizations.

In the first episode, you can listen to a discussion with the CEO and co-founder of Komodo Health, Arif Nathoo. Komodo Health currently has some part of the healthcare data of 330 million people in the US. One of the leading providers of electronic healthcare records systems in the US is EPIC. EPIC holds around a third of the US EHR market share and has some part of the medical data of 250 million patients.

In the second episode, Phil Lindemann, VP of Business Intelligence at Epic, and Epic’s Clinical Informaticist Dave Little, MD explained a bit more about EPic Cosmos - a database built to enable easier clinical research. Epic Cosmos currently combines 178 million de-identified patient records from over 6.5 billion encounters, representing patients in all 50 US states.

In this episode, you’ll hear from Samir Unni, Healthcare Business Development Lead at Palantir Foundry.

Palantir Foundry connects the back-office software systems and analytics teams directly with caregivers. Foundry is used across the healthcare and life sciences value chain, from drug discovery and development, through to manufacturing, marketing, and sales. At the Federal level in the US Palantir is partnering with Centers for Disease Control and Prevention (CDC), Department of Health and Human Services (HHS), Food and Drug Administration (FDA), National Institutes of Health (NIH), Department of Veterans Affairs (VA), and more. In this short discussion recorded at HLTH 2022, Samir Unni, Healthcare Business Development Lead at Palantir Foundy explained the principles of Palantir in healthcare, why they support the open-data approach, how do they choose their customers and more.

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This discussion is part of a broader series of talks about healthcare data management in the US. An in-depth summary will be published in the monthly newsletter:

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