In today’s complex healthcare landscape, comprehending your medical chart has become increasingly vital for patient safety and optimal care. Recent studies show that patients who actively engage with ...

Layer Health's AI platform is built on machine learning algorithms that leverage large language models (LLMs) to streamline the chart review process from unstructured data. The company touts its AI as ...

New research by Cleveland Clinic and Dyania Health demonstrates how a medically trained large language model system can ...

Forbes contributors publish independent expert analyses and insights. That momentum continues today with the announcement of a $21 million Series A by Layer Health, an ambitious healthcare AI startup ...

Intermountain Health is deploying Layer Health’s artificial intelligence for clinical data abstraction to improve its quality reporting and clinical registry submissions in stroke, surgery and ...

Charta Health built an artificial-intelligence-powered platform to optimize medical billing and coding. The three-year-old startup raised $22 million in series A funding to propel its growth. Bain ...

ChatEHR, AI software developed at Stanford Medicine, is speeding up chart reviews by permitting clinicians to ask questions about medical records. Similar to how you can chat with a large language ...

Alan Beyer, MD, of Orthopedic Surgery Center of Orange County in Newport Beach, Calif., explains how the surgery center ensures medical charts are completely and accurately filled out according to ...

Paul D. Jacobs ([email protected]), Agency for Healthcare Research and Quality, Rockville, Maryland. There is widespread agreement that taxpayers pay more when Medicare beneficiaries are enrolled in ...

Newly published research by Cleveland Clinic and Dyania Health demonstrates how a medically trained large language model system can accurately and efficiently screen electronic medical records (EMRs) ...