Investigative Techniques: News and Research on Medical Records Systems, Computerized

MeSH tree: E05.318.308.940.968.625

Research identifies potential long COVID racial disparities

Black and Hispanic Americans appear to experience more symptoms and health problems related to long COVID, a lay term that captures an array of symptoms and health problems, than white people, but are not as likely to be ...

Electronic health record data may predict early autism

Autism detection using electronic health record (EHR) data achieves clinically meaningful accuracy by age 30 days, which improves by age 1 year, according to a study published online Feb. 2 in JAMA Network Open.

Machine learning model predicts physician turnover

Physician turnover is disruptive to patients and costly to health care facilities and physicians alike. In a new study, Yale researchers have used machine learning to reveal the factors—including the length of a physician's ...

Machine learning helps to tackle long COVID

Long COVID has emerged as a pandemic within the pandemic. As scientists work to untangle the many remaining unanswered questions about how the initial infection impacts the body, they must now also investigate why some people ...

What happens if your medical records are incomplete?

Your entire medical journey lives in digital health records, but how do you know if those records are wrong, incomplete or missing important information? That's the focus of research done by Varadraj Gurupur, associate professor ...

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