According to a comprehensive market research report titled "Rapid Diagnostics Market Size, Share, Forecast, & Trends Analysis by Product ...

If appropriately implemented, blockchain-based medical records systems of tomorrow could be far more accurate, secure and accessible than the one-size-fits-all approach applied to today’s ...

Academic medical centers could transform patient care by adopting principles from learning health systems principles, ...

AI-powered systems, fueled by standardized data flows from TEFCA and FHIR, enable healthcare providers to make more informed decisions based on a complete patient history, irrespective of the ...

ChatEHR accelerates chart reviews for ER admissions, streamlines patient transfer summaries and synthesizes complex medical histories.

Hospitals nationwide are grappling with high patient volumes, staffing shortages and inefficient capacity management — all while being asked to deliver timely, high-quality care. During a recent ...

Undergo data modernization At the core of healthcare’s digital transformation is data modernization. This means upgrading data systems, tools, and workflows to fuel advanced analytics.

Continuous learning is a practical strategy that, when applied intentionally, can improve nearly every operational aspect of ...

Learn how biotechnology trials are transforming clinical data management systems, leveraging machine learning and advanced protocols to enhance efficiency and accuracy in data collection and analysis.

CMS will also take its Data at the Point of Care from a pilot into general availability. The program enables providers to access Medicare claims data for their patients directly within their workflow.