Articles

  • Aug 19, 2024 | ramaonhealthcare.com | Jordan Everson |Bob Phillips |Nathaniel Hendrix

    HealthIT Answers August 19, 2024Industry ExpertBy Jordan Everson, Bob Phillips, and Nathaniel Hendrix, ONCSince 2021, the Assistant Secretary for Technology Policy and Office of the National Coordinator for Health IT (hereafter ASTP) and the American Board of Family Medicine (ABFM) have collaborated to develop and field survey questions designed to better understand family physicians’ experience using health information technology (health IT) in primary care.

  • Aug 12, 2024 | healthit.gov | Jordan Everson

    Since 2021, the Assistant Secretary for Technology Policy and Office of the National Coordinator for Health IT (hereafter ASTP) and the American Board of Family Medicine (ABFM) have collaborated to develop and field survey questions designed to better understand family physicians’ experience using health information technology (health IT) in primary care. We’ve now fielded questions for three years (2022-2024) through multiple questionnaires, and the results have driven data briefs and studies.

  • Jun 17, 2024 | healthit.gov | Jordan Everson

    A decade ago, as EHRs were rapidly implemented across the country, ONC sought to make sure these newly implemented technologies were interoperable. Since 2014, ONC has tracked progress toward widespread interoperability among hospitals and physicians by measuring their engagement in four domains of health information exchange: electronically finding, sending, receiving, and integrating patient health information.

  • Feb 28, 2024 | healthaffairs.org | Jordan Everson |Jeffery Smith |Kathryn Marchesini |Micky Tripathi

    The Department of Health and Human Services through the Office of the National Coordinator for Health Information Technology (ONC) recently published the “Health Data, Technology, and Interoperability,” (HTI-1) final rule, which includes first-of-its-kind federal requirements for artificial intelligence (AI) and machine learning (ML)-based predictive software in health care.

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