Artificial Intelligence
Transforming Clinical Workflows: How Franciscan Missionaries of Our Lady Health System is Partnering With Suki to Reduce Burnout
Healthcare’s next chapter is being written by AI, and it’s all about giving time, focus, and humanity back to clinicians.…
While healthcare buzzes with talk of EHR tools that can forecast a patient’s mortality or disease progression, the industry hasn’t reached its “MedGPT moment,” according to Stanford (Calif.) University researchers. Current generative AI models trained on EHR data are roughly…
San Diego-based Rady Children’s Health has created its own private generative AI platform to answer questions and perform administrative tasks for employees. For example, a staffer might write, “I need to take these two days off,” and the GPT would…
OpenAI has rolled out ChatGPT Health, a new feature that allows users to securely integrate personal health information with ChatGPT’s AI to better understand and manage health-related questions. Here are seven things to know about ChatGPT Health: Access to ChatGPT…
Researchers at Palo Alto, Calif.,-based Stanford Medicine have developed an AI model capable of predicting an individual’s risk of developing more than 100 health conditions using sleep study data. The model, called SleepFM, was trained on 600,000 hours of polysomnography…
ChatGPT is rapidly emerging as a new waypoint in the patient journey, with millions of Americans using the generative AI tool to research symptoms, prepare for appointments, navigate insurance and seek answers when providers are unavailable. More than 40 million…
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AI is rapidly becoming clinical infrastructure. But accountability frameworks have not scaled at the same pace. When AI contributes to harm, many organizations still end up improvising answers to the same question: Who is responsible? A World Health Organization Europe…
Utah has launched a pilot program that allows artificial intelligence — without physician involvement — to renew certain medical prescriptions, Politico reported Jan. 6. The program, developed with health technology startup Doctronic, began in December and is limited to routine…
Large language models frequently misrepresent verbal risk terms used in medicine, potentially amplifying patient misunderstandings and diverging from established clinical definitions, according to a study spearheaded by researchers from Vanderbilt Health in Nashville, Tenn. The findings, published Dec. 17 in…
Researchers at the University of California San Francisco have developed a computer model that combines AI and genetics to diagnose pneumonia in critically ill patients with 96% accuracy. The model pairs a generative AI analysis of electronic health records with…
Foundation AI models trained on EHRs may inadvertently retain and expose sensitive patient information, according to a study by researchers at the Massachusetts Institute of Technology in Cambridge. The study examined how clinical AI models can “memorize” individual patient data…