New research explores how artificial intelligence foundation models trained on electronic health record data can be tested to ...

Each time a patient is admitted to the hospital, a tiny message is generated to let every software system know the patient has arrived. Similar messages are sent as the patient is transferred from ...

Researchers from the University of Michigan have developed an open-source framework that streamlines the preprocessing of data extracted from the electronic health record. The framework, which the ...

In the all-hands-on deck race to conquer the coronavirus pandemic, de-identified patient data from a variety of sources support clinical research, and near real-time data captured through electronic ...

FEHRM leaders Bill Tinston and Cori Hughes will discuss federal EHR modernization priorities at the 2025 Summit on Feb. 12, ...

Please provide your email address to receive an email when new articles are posted on . A pilot process that incorporates patients’ continuous glucose monitoring data directly into the electronic ...

VeriFact analyzes statements in AI-generated clinical text against patients’ EHRs to identify factual errors, achieving 93.2% agreement with clinicians.

A large challenge healthcare providers face is what to do with all of their data. Understanding the basics of data collection and regulation in the healthcare industry is essential to understanding ...

Hospitals are increasingly using data from electronic health records systems to support quality improvement efforts and to monitor patient safety, the Office of the National Coordinator for Health ...

Segment-specific, 18-dimension benchmark maps vendor strengths as Australian boards elevate workflow, medication safety, My Health Record interoperability, cloud operating models, and cyber-resilient ...