Portrait of Kevin Chaney, MGS

Health IT Advances Precision Medicine

Kevin Chaney, MGS | April 20, 2021

Precision medicine creates treatment and prevention strategies that meet patient needs by considering individual variability in their genome, environment, and lifestyle. While precision medicine can revolutionize health care, it requires access to an unprecedented volume and variety of data, and an infrastructure that rapidly brings new discoveries to bear.  Recently, we published an article in the Journal of the American Medical Informatics Association that describes health IT’s vital role in precision medicine based on key insights from a series of ONC projects supporting the Precision Medicine Initiative. 

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Portrait of Cannon Leavelle

Top Takeaways from the 2021 ONC Annual Meeting

Cannon Leavelle | April 6, 2021

ONC Leader Gives Health IT Vision 

ONC’s newly appointed national coordinator Micky Tripathi introduced the 2021 ONC Annual Meeting by sharing his vision for the future of health IT strategy and policy throughout the healthcare system. He talked about the agency’s role in responding to the COVID-19 pandemic, striving for health equity through the use of health IT (he calls it “equity by design”), advancing interoperability of health information, and reducing the burden of health IT on clinicians. 

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Portrait of Andrew Gettinger

Reducing the Clinician Burden: Shaping Health IT as an Asset

Andrew Gettinger | March 4, 2021

Health IT has helped drive progress in health care over the last decade, but it has also introduced a variety of different challenges, many reported by the clinical community. As we explored in our latest article published in the Journal of the American Medical Informatics Association, ONC and other federal partners have taken and continue to take steps to reduce clinician burden when using health IT. 

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Portrait of Allison Dennis

Researchers’ Perspectives on Accelerating APIs and App Connectivity

Allison Dennis | March 2, 2021

Today’s health information ecosystem is broadening in terms of participants and data availability. The data sources that exist to inform clinical and biomedical research are more diverse than ever, drawing from electronic health records (EHRs), genomic tests, recordings from wearable devices, and patient surveys, to name a few. The insights that can be drawn from these require effective data collection, aggregation, and sharing in addition to health IT infrastructure capable of supporting research goals. To address some of these requirements, 

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