Sepsis is an overwhelming infection: bacterial, viral, or fungal. It requires immediate medical attention and intervention. EPIC, the company with the largest share of the electronic medical records market, developed an algorithm to help physicians timely identify at-risk patients. An independent study shows that it is not helpful. Is this healthcare’s 737Max moment?
Medical algorithms
Recent demands by gender activists include insisting that American medicine conforms to an individual’s contrived identity, including during emergency room and hospital admissions. People who identify as transgender (or gender nonconforming) may use a veritable cornucopia of different terms to describe themselves. [1] Forcing the public to use "preferred genders" is confusing and complicated enough socially, but more crucially: it is a significant problem clinically.
With the hope of increasing accessibility for a burdensome medical issue, can this application actually make a dent as a screening or diagnostic tool?
As part of regulatory reform, and given the increasing use of computer algorithms in patient care, the Food and Drug Administration released draft guidelines for software use that aids both doctors and their patients.