A predictive model identifies RA patients at risk of D2T-RA, using machine learning and real-world data for early intervention. Patient-reported outcomes, such as pain and fatigue, are stronger ...

New prediction models may help clinicians identify which patients are at highest risk for death or drug overdose if they seek a "before medically advised" (BMA) hospital discharge. Hiten Naik, MD In a ...

The application of artificial intelligence (AI) for healthcare is transforming patient treatment, from advanced analytics to computerized automated diagnosis. However, with the increased application ...

Electronic health record software giant Epic previewed Thursday new app developer tools and interoperability features that simplify data sharing for providers and patients. In the past year, more than ...

In the complex world of interoperability, ensuring that the right patient data is accessible across healthcare providers is not just a technical challenge, it’s also a lifeline for patients, ...

Handling sensitive patient data is a critical responsibility for organizations involved in clinical trials. To meet regulatory requirements, many rely on SDTM mapping—a process that converts raw ...

The new federal Health Technology Ecosystem that President Donald Trump announced from the White House on Wednesday is designed to kill the need for faxed patient records and open up app-based ...

Background The growing population of patients with adult congenital heart disease (ACHD) present complex lifelong care needs ...

When patients are prescribed complex therapies — like specialty drugs, cell and gene treatments, or high-cost biologics — the path to treatment is rarely straightforward. Filling a prescription can ...