Decision Support
"Imagine if the tools on your computer that you need to do your job were so cumbersome, they caused you to be fatigued, burnout, and to have to work extra hours to get your job done. How would this impact the quality of your work?"
Clinical decision support improves outcomes, ROI and the move to value-based care, says Yaw Fellin of Wolters Kluwer Health.
But one of the health system's top clinical leaders for imaging informatics and radiology cautions that providers must maintain critical thinking when working with artificial intelligence.
While lack of efficiency in using electronic health records is most correlated with clinician burnout, healthcare organizations want vendors to help them improve EHR experiences, according to the KLAS Arch Collaborative.
The Samsung subsidiary's large language model, known as HealthGPT, uses generative AI to help providers advance patient care, medical research and decision-making.
Lab data is a first big focus of the initiative, focused on standardized exchange terminology.
Dr. Ben Zaniello, chief medical officer of PointClickCare, explains three pathways to consider to achieve whole person care and shares his personal experiences engaging SDOH on post-acute care coordination.
"A small but growing number of companies are forming strategic partnerships and bringing AI solutions to the fields of drug discovery, diagnostics, patient care and claims management," says a new report.
Also: Chilmark Research publishes a new ebook offering tips for responsible AI deployment.
Real-world examples from Premier Inc. showcase how machine learning and natural language processing are helping providers use structured and unstructured data to drive more efficient operations, innovate care delivery and improve patient experience.
