This week, we’re delighted to be joined by Vera Mucaj, Chief Scientific Officer at Datavant, a data logistics company for healthcare.

During the interview, Vera shares how the organization helps companies overcome issues of data fragmentation and availability, which ultimately leads to better decision-making in healthcare, the importance of connecting clinical trial data with real-world data to improve research outcomes and the challenges of semantic interoperability in data sets.

Data in Biotech is a fortnightly podcast exploring how companies leverage data innovation in life sciences.

Discussed:

[1:06] Vera introduces herself, explains her role, and explains what drove her to join the scientific field.

[4:00] Vera outlines the challenges that Datavant customers face in the acquisition and sharing of medical data.

[8:49] Vera unpacks the role Datavant plays in enabling healthcare organizations to produce and consume data to answer important scientific questions.

[12:21] Vera addresses the problem of security around data assets and how the company helps producers tackle the risk of the potential de-identification of sensitive patient data.

[15:27] Vera explains the most common use cases of the Datavant platform and the value that can be unlocked by consumers of the platform.

[22:10] Vera outlines Datavant's business model.

[27:06] Vera talks about how Datavant is leveraging AI to generate, analyze and create imputations of data sets.

[31:09] Vera discusses the regulatory and cultural barriers to making data available in healthcare.

[38:53] Vera shares her thoughts on semantic interoperability between data sets.

[44:31] Vera shares the resources that she follows to better understand the work of Datavant.

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