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- Articles by: Jordan Everson
Jordan Everson's Latest Blog Posts
The Digital Health Divide for Populations that have been Marginalized
Jordan Everson | November 13, 2023
Many hospitals have adopted systems for interoperable patient data exchange and are connected to national networks. However, ONC has consistently found that rates of interoperable exchange for smaller, rural, and independent hospitals have notably lagged behind other hospitals. For example, in both 2017 and 2021, rural hospitals were 23 percentage points less likely to engage in interoperable exchange compared to urban hospitals. In a recent study, ONC explored this digital divide to better understand the relationship between interoperable exchange and measures of hospitals that served populations that have been marginalized.
Read Full Post.Updated Insights on Hospital Leaders’ Perceptions of Information Blocking
Jordan Everson | June 14, 2023
In a recent study in the Journal of the American Medical Informatics Association (JAMIA), we leveraged data from the 2020 American Hospital Association (AHA) Information Technology Supplement gathered from April-June 2021, shortly after the initial applicability date of the information blocking regulations (April 5, 2021). We found that 42% of hospitals perceived that at least one type of information blocking “actor” (health care provider, health information network/health information exchange, or health IT developer of certified health IT) engaged in practices that may constitute information blocking.
Read Full Post.TEFCA Awareness Among Hospitals and Variations Regarding Intent to Participate
Jordan Everson | May 31, 2023
According to a recent American Hospital Association (AHA) survey, most hospitals know about the Trusted Exchange Framework and Common AgreementSM (TEFCASM) and, among those, very few plan on sitting out.
Read Full Post.Increasing the Transparency and Trustworthiness of AI in Health Care
Jordan Everson | 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.
New Study Shows Patients Prefer Immediate Access to Test Results and have Unmet Information Needs
Jordan Everson | March 20, 2023
A recent study of 8,000 patients that accessed their test results via an online patient portal found that more than 95% wanted to continue to immediately receive test results through their portal. That percentage stayed at 95% when focused on patients with non-normal results.
These findings come amid concerns that the immediate release of test results could lead to patient distress when patients access test results before their physicians could contact them and help to interpret those results.