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Health IT, Interoperability 2023 ISA Reference Edition Is Here
Andrew Hayden | January 10, 2023
We are excited to continue a New Year’s tradition at ONC with the release of the annual Interoperability Standards Advisory (ISA) Reference Edition! The 2023 ISA Reference Edition, the ninth annual publication, reflects more than 150 comments received by ONC during a 60-day public comment period that closed September 30, 2022.
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Health Equity, Health IT Disparities in Patient Access to Electronic Health Information: Insights from a National Survey
Chelsea Richwine | January 5, 2023
Patients have a right of access to their health information under the Health Insurance Portability and Accountability Act (HIPAA) Privacy Rule. Recent policy efforts aim to simplify and increase patient access to electronic health information (EHI), as easy access to health information enables patients to monitor health conditions, follow treatment plans, and find and fix medical record discrepancies. Patient access also plays a major role in promoting patient-centered care by enabling individuals to make more informed decisions about their health.
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Health IT ONC Supports Adoption and Implementation of Bulk Data APIs
Alex Kontur | January 4, 2023
In 2017 the Health Level Seven® (HL7) standards development community began exploring the feasibility of standardizing a Fast Healthcare Interoperability Resources® (FHIR) bulk data access application programming interface (API) to facilitate large-scale data transfer between systems.
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Health IT Certification Not-So-Hidden Gems in the 21st Century Cures Act Final Rule: Get to Know the Conditions of Certification
Steven Posnack | December 15, 2022
Don’t get me wrong, the information blocking regulations are important, but let’s not forget that the 21st Century Cures Act (Cures Act) and our implementing regulations (Cures Act Final Rule) had a few other impactful provisions. In particular, certain changes to the ONC Health IT Certification Program may seem like “more of the same” for health IT developers, but in reality they are really important and beneficial to clinicians, researchers, and the public alike.
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Blog Series: Artificial Intelligence & Machine Learning, Health Data, Health Innovation, Health IT Certification, Privacy and Security Back to the Future: What Predictive Decision Support Can Learn from DeLoreans and The Big Short
Kathryn Marchesini | December 13, 2022
In the third blog in our series on artificial intelligence (AI) and machine learning (ML)-driven predictive models (data analytics tool or software) in health care, we discussed some potential risks (sometimes referred to as model harms) related to these emerging technologies and how these risks could lead to adverse impacts or negative outcomes. Given these potential risks, some have questioned whether they can trust the use of these technologies in health care.
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