Modernizing Healthcare Through Data Science and Digital Transformation (Kaushik Raha, VP Data Science & Health Content Operations, Elsevier)

Data Science Leaders

English - November 02, 2021 09:00 - 39 minutes - 36.3 MB - ★★★★★ - 82 ratings
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Previous Episode: How Data Science Teams Are Going Deeper with Proof of Value (Nimit Jain, Head of Data Science, Novartis)

Next Episode: Scaling Data Science Value with Cross-Functional Teams (Jayesh Govindarajan, SVP Data Science & Engineering, Salesforce)

In healthcare, only 14% of scientific discoveries actually make it into clinical practice. But data science, in lockstep with the digital transformation, is helping to change that.

As healthcare data and clinical studies transition to digital form, the opportunity to use data science and AI to generate insights and recommend treatment pathways is greater than ever. And the ability to make healthcare delivery more equitable is within reach.

In this episode, Kaushik Raha, VP Data Science & Health Content Operations at Elsevier, explains how data science is transforming the healthcare industry. Plus, he shares his thoughts on bias and some best practices for operationalizing data science.

We discuss:

How data science is helping to modernize healthcare
Working with clinical analytics to root out bias
Advice for operationalizing data science

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