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A system-wide initiative in Sweden helped hospitals reduce readmission rates and shorten lengths of stay. When it came to heart failure patients specifically, however, the changes barely made an impact.
As one may expect, patient satisfaction was considerably higher for individuals who did not have to fast for a minimum of six hours prior to treatment. There were no other significant differences.
Not long ago, physicians and grocery clerks had a key duty in common: ‘connective labor.’ Today barcode reading machines sweep you through the checkout. And AI can handle most of your health questions.
Clinicians who come to rely on AI for decision support risk the dulling of their skills.The concern is not new. But now comes a pointed call to researchers: Inquire about the particulars of the peril.
With patients gaining access to imaging reports earlier than ever, it's critical they have access to large language models that can accurately summarize the results.
Querying 55 thought leaders behind closed doors, the Stanford Institute for Human-Centered AI has found only 12% believe healthcare AI should always have a human in the loop.
Care teams are always looking for new ways to limit the use of permanent pacemakers after TAVR. Could starting patients off with temporary devices be an answer?
When it comes to adopting healthcare AI, large, well-off hospitals are likely to frequently homer while smaller, struggling institutions go down looking. (Baseball analogy in honor of tonight’s Midsummer Classic.)