Portrait of Micky Tripathi

Leveraging Agency Expertise to Foster American AI Leadership and Innovation

Micky Tripathi | December 19, 2023

Last week I had the opportunity to testify before the House Energy and Commerce Committee. During this second hearing on artificial intelligence (AI), I shared work that I’m doing on behalf of HHS to support President Biden’s Executive Order on harnessing the potential and mitigating the risks of AI. I’m grateful for the opportunity to discuss this work with the Committee. My oral testimony follows, and my full written testimony is also available on the Energy and Commerce Committee website.

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Portrait of Kathryn Marchesini

Increasing the Transparency and Trustworthiness of AI in Health Care

Kathryn Marchesini | April 13, 2023

This is part five of a blog series on predictive models, artificial intelligence (AI) & machine learning (ML) in health. We encourage readers to (re)visit the four previous blog posts for important context to what follows.
Through a series of blog posts over the last year, we’ve described our understanding of the current and potential uses of predictive models and machine learning algorithms in health care, and the role that ONC can play in shaping their development and use.

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Portrait of Adam Wong

An Innovative Program to Expand the Use of HIE Data for Patient-Centered Outcomes Research

Adam Wong | July 26, 2022

ONC is excited to announce “Using Machine Learning Techniques to Enable Health Information Exchange to Support COVID-19-Focused PCOR,” a Patient-Centered Outcomes Research (PCOR) Trust Fund project implementing new technologies and standards to unlock the potential for health information exchanges (HIEs) to support research.

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Portrait of Kathryn Marchesini

Getting the Best out of Algorithms in Health Care

Kathryn Marchesini | June 15, 2022

The same basic technology that can predict what movie you might want to watch, what song you might want to listen to, or what item you might want to buy online, can also predict the onset of diseases, forecast costs of care, and recommend treatment options for your doctors, nurses, and pharmacists.

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