Healthcare AI News 7/12/23
News
Lovelace Health System in New Mexico implements CareHarmony’s AI-powered care coordination software to help patients with two or more chronic conditions better manage their treatment, including medications.
Lehigh Valley Health Network (PA) will integrate Aidoc’s enterprise AI implementation and integration platform and imaging AI algorithms with its radiology department workflows. LVHN will also leverage Rad AI’s Omni and Continuity solutions, which, respectively, will automatically generate study impressions from a radiologist’s dictation and automatically send follow-up recommendations to patients and providers when incidental findings are reported.
Productive Edge announces GA of Generative AI-enhanced solutions for prior authorization, patient engagement and marketing, and health plan member engagement.
Mayo Clinic pilots Google’s Med-PaLM 2 AI tool in several hospitals. Built on the language model powering Google’s Bard chatbot, the tool is designed to answer questions about healthcare information.
Research
Researchers at the University of Pittsburgh and University of Pittsburgh Medical Center develop an easy-to-use, high-risk patient identification model using an algorithm that learns from the digital medical records of 1.25 million surgical patients. Deployed at 20 UPMC hospitals, researchers have found that the model does a better job of identifying high-risk patients than the standard – and manual – American College of Surgeon’s National Surgical Quality Improvement Program.
Children’s National Hospital and Virginia Tech will use new seed funding to expand the work of a collaboration that has sprung up between the hospital’s Research & Innovation team and the university’s Sanghani Center for Artificial Intelligence and Data Analytics. Research will focus on how AI can help to treat specific diseases, enhance smart surgery for pediatric health, and improve hospital management.
A majority of clinicians believe AI isn’t ready for medical use, according to a GE HealthCare survey of 7,500 clinicians in eight countries. Less than half of respondents – 26% in the US – are ready to trust AI.
Contacts
Mr. H, Lorre, Jenn, Dr. Jayne.
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