The researchers saw that using an AI tool improved the processes of determining diagnoses and making predictions. A new study, undertaken by NYU Langone and published April 17 in NJEM Catalyst Innovations in Care Delivery, finds that AI “feedback improved the quality of physician notes written during patient visits, with better documentation improving the ability of careContinue reading “Study Finds AI Feedback Improves Quality of Physician Notes.”
Category Archives: EHR
Study: ChatGPT-4 Use Helped Reduce Clinician Documentation Burnout
Researchers at Stanford Medicine have examined the use of ChatGPT-4 to draft initial responses to inpatient emails—and found hopeful results. Could the use of generative artificial intelligence (ChatGPT-4), as adopted to inbox-message management, reduce the administrative burden on physicians and nurses in patient care organizations? A new study suggests such a potential, though with qualificationsContinue reading “Study: ChatGPT-4 Use Helped Reduce Clinician Documentation Burnout”
Wolters Kluwer Health Survey Says 40% of U.S. Physicians Are Ready to Use GenAI.
The survey about generative artificial intelligence shows a faster acceptance of the tech, yet many physicians are still wary of which tools to use. A new Wolters Kluwer Health survey, released on April 16, finds that 40% of U.S. physicians are “ready to use generative AI (GenAI) this year when interacting with patients at theContinue reading “Wolters Kluwer Health Survey Says 40% of U.S. Physicians Are Ready to Use GenAI.”
How UC San Diego Health used AI to reduce its sepsis mortality rate.
The health system developed a deep-learning model called Composer to help detect sepsis earlier. Artificial intelligence (AI) helped UC San Diego Health reduce its sepsis mortality rate by 17%, according to a study the health system published in January. Sepsis is a leading cause of death in US hospitals—at least 1.7 million people develop theContinue reading “How UC San Diego Health used AI to reduce its sepsis mortality rate.”
EHRs don’t always capture patient deaths, and that could spell trouble for AI-powered cancer care.
Researchers found cancer patient medical records largely matched national death index data, but cautioned that incomplete data could upend AI-backed clinical solutions. Artificial intelligence (AI) is expected to shake up the future of healthcare as more companies leverage the tool to scan medical records for data and recommend potential treatment pathways. But the success of those capabilities,Continue reading “EHRs don’t always capture patient deaths, and that could spell trouble for AI-powered cancer care.”
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