Healthcare AI News 6/5/24
News
Researchers at George Mason University’s public health school create MeAgainMeds.com, a free AI-powered website that uses self-reported patient history and data that was extracted from 3.6 million patient records to help patients and clinicians choose the antidepressant that is most likely to be effective for them.
Kimberly Powell, healthcare VP/GM at Nvidia, says that she expects healthcare to be more affected by AI than any other industry, particularly in the area of drug discovery.
Business
Evolent acquires the software and development team of Machinify’s prior authorization and utilization management products. Machinify will continue its work with payer applications.
Innovaccer launches an AI-powered healthcare contact center that combines all available data to personalize the call center interaction of consumers.
Tampa General Hospital chooses Palantir Technologies to create an AI-powered care coordination system.
Spain-based AI medical triage chatbot vendor Mediktor acquires Sensely, which offers patients chat-based help with insurance.
Research
Researchers find that applying retrieval-augmented generation – where an AI system searches a specified database to craft its answers – improved the accuracy of ChatGPT-4 in answering cancer-related questions from 57% to 84%. However, it performed poorly when faced with conflicting advice statements from clinical trials, expert opinions, or committee recommendations.
Other
Children’s National Hospital hires Alda Mizaku, MS (Mercy) to the newly created role of VP/chief data and AI officer.
Montefiore Einstein Comprehensive Cancer Center doubles the colonoscopy completion rate among patients who cancelled or no-showed their colonoscopy appointments by using the AI tool MyEleanor from MyndYou to conduct voice call outreach. More than half of patients that the system called stayed on the line and half agreed to be transferred to a human navigator to reschedule.
Johns Hopkins palliative care doctor and cartoonist Nathan Gray, MD creates a fascinating “op-comic” for the LA Times that describes his experience with his hospital’s ambient documentation pilot project. He says that he had to learn to suppress the urge to type and had to remember to speak his findings out loud, but enjoyed “not having a screen stand as a dividing wall between doctor and patient.” He found that the program generated an accurate, coherent summary of the conversation even when it didn’t follow an obvious structure. His biggest complaint is that as a palliative care doctor, the AI ignored the hopes, dreams, and fears of the patient in seemingly mistaking that part of the conversation as chitchat.
Contacts
Mr. H, Lorre, Jenn, Dr. Jayne.
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