Rob Anthony | February 10, 2023
ONC is delighted to report that on December 31, 2022, the health IT community passed a major milestone on the road to improving health IT interoperability. More than 95 percent of Certified Health IT developers met the compliance deadline to update and provide their customers with new technology including requirements to enable access to information through application programming interfaces (APIs) “without special effort.”
Read Full Post.
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.
Read Full Post.
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.
Read Full Post.
Laura M. Urioste | November 8, 2022
The 2015 Edition Cures Update made several changes to the ONC Health IT Certification Program (Certification Program), including new functionalities; new, removed, and revised criteria; and new requirements establishing the Conditions and Maintenance of Certification. This means that most health IT developers of certified health IT (certified health IT developers) will be required to update their certified Health IT Modules by December 31, 2022. As we approach this deadline, it is important to remember that meeting the Certification Program requirements and avoiding non-conformities is up to each certified health IT developer.
Read Full Post.
Kathryn Marchesini | September 7, 2022
When talking about artificial intelligence (AI) today, people are usually referring to predictive models—often driven by machine learning (ML) techniques—that “learn” from historic data and make predictions, recommendations, or classifications (outputs) which inform or drive decision making. The power of ML is in its enormous flexibility. You can build a model to predict or recommend just about anything, and we have seen it transform many sectors.
Read Full Post.
