Healthcare AI News 11/29/23

News

Amazon announces Amazon Q, a generative AI assistant for businesses that provides personalized company content to employees.

NHS England will use AI to identify patients who are at risk for an ED visit or hospital admission and could instead be contacted by health coaches, including the use of sensors on refrigerators and teakettles to identify changes in eating and drinking habits. It is also using AI to predict the  top at-risk patients who are then contacted by staff who offer social care assessments and medication reviews. NHS has also expanded its hospital-at-home program to 10,000 patients. It expects the new programs to prevent 4,500 ED visits, 17,000 overnight hospital stays, and 23,000 physician appointments.

Hong Kong’s hospital authority will pilot the use of AI to identify potentially inappropriate ordering of certain broad spectrum antibiotics following a jump in vancomycin-resistant infections. Broad-spectrum antibiotic prescribing jumped during the pandemic as COVID-19 patients used most available isolation beds. 

A Denver news outlet describes the efforts of UCHealth to apply AI to sepsis detection. CMIO C.T. Lin, MD says its initial deployment of Epic’s tool was causing alarm fatigue and a flurry of end-of-shift alerts as overworked nurses back-entered vital signs they had scrawled on their arms all day. The health system redirected the alerts to its virtual health center, where 24/7 ICU nurses monitor the vital signs of up to 500 patients and can immediately review the EHR and live video feeds. UC Health estimates that the sepsis alerts are saving 375 lives per year, with another 800 patients saved by early detection of other forms of deterioration.

Business

Drug maker Roche’s Genentech subsidiary will collaborate with microprocessor vendor Nvidia to advance drug discovery.

Vivodyne, which uses AI-powered robotics to cultivate, dose, and analyze prospective drugs on human tissues, raises $38 million in seed funding.

Research

Researchers use AI to identify brain imaging markers that may help diagnose ADHD in adolescents.

A Microsoft study finds that GPT-4’s performance on medical specialty questions can be improved by the use of more carefully structured prompt alone, without being expensively trained on more detailed data.

Republic of Korea researchers develop a machine learning model to predict cardiac arrest in ICU patients using ECG data, which they say is a better predictor than EHR information and can be used for continuous monitoring. 

Other

Sports Illustrated gets caught running AI-generated articles that are bylined to AI-generated writers with headshots that were acquired from online marketplaces. One article purportedly written by “Drew Ortiz” expertly opines that “volleyball can be a little tricky to get into, especially without an actual ball to practice with.”

Contacts

Mr. H, Lorre, Jenn, Dr. Jayne.
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