As the medical world transitioned to electronic health records, Stanford clinicians stepped up to trouble-shoot. Now they're innovating patient care.
A new algorithm helps turn veterinary notes into systemic codes, a development that could help track disease and enable drug trials.
A Stanford-designed computer algorithm helps doctors predict the lifespan of patients with metastatic cancer by looking for clues in their own exam notes.
A Stanford study examines a key aspect of artificial intelligence: If machines provide advice for patient care, who should those machines be learning from?
A new white paper from Stanford Medicine details obstacles and offers solutions for achieving the full potential of electronic health records.
While some fear artificial intelligence making inroads into health care, Stanford Medicine Dean Lloyd Minor welcomes it.
Stanford Medicine's Electronic Health Records National Symposium touched on improving inefficiencies of EHRs, harnessing data for population health management, building on successes and overcoming obstacles.
A majority of primary care doctors report frustration with how electronic health records have affected their relationships with patients and with the amount of time required by the systems, according to a Stanford poll commissioned from The Harris Poll. However, many also say EHRs have led to improved patient care.
Stanford Medicine will unite leading minds in patient care, technology, design thinking and public policy to help shape the future of electronic health records and at the EHR National Symposium on June 4.
In a talk at Stanford, Jonathan Perlin of HCA Healthcare discusses how electronic health records can help doctors improve care in a learning health system.
Over the past several years, most hospitals have adopted electronic health records — a digital version of a patient’s medical chart that can contain information …
