Tag: electronic health records

A randomized trial found that a self-directed motivational tool more than doubled two-month weight management program engagement among veterans with ...

A process evaluation of the MIMeRiC trial shows that cardiology clinic pharmacists resolved 194 medication problems and reduced treatment concerns, ...

Researchers developed a two-stage machine learning framework to separate prolonged-stay risk stratification from day-level hospital stay estimation using 209,088 inpatient ...

A viewpoint in the Journal of General Internal Medicine highlights how copied patient one-liners can introduce anchoring bias and perpetuate ...

A study of over 550,000 health system patients found unmandated social needs, led by physical and mental health barriers, occurred ...

A retrospective hospital study reveals that routine documentation gaps and missingness indicators shape cardiovascular machine-learning predictions.

A qualitative study in Singapore reveals that heavy workloads, limited consultation time, and reliance on opportunistic screening impede cancer detection ...

A large cohort study reveals that rare damaging GLP1R variants reduce weight loss with semaglutide while tirzepatide response remains intact.

Researchers have developed and validated a claims-based algorithm that identifies transthyretin amyloid cardiomyopathy cases in administrative databases with high accuracy ...

A tutorial review in Frontiers in Digital Health analyzes the architecture, clinical applications, and critical safety limitations of large language ...

Researchers have developed a lightweight hybrid security framework that combines integer wavelet transform watermarking and authenticated encryption to protect medical ...

A conceptual study outlines a phased transition framework to address persistent electronic health record implementation failures in Liberia's health system.

Ensemble machine learning models trained on electronic health records achieved high accuracy in predicting stroke occurrence among people living with ...

An observational economic analysis of the NIH All of Us Research Program found that third-line immunotherapy for advanced colorectal cancer ...

A longitudinal study at Duke University School of Medicine found that simulated electronic health record training across health professions programs ...

Researchers have detailed a study protocol to develop and externally validate an automated real-time prognostic model for hospital-acquired venous thromboembolism ...

An analysis of the All of Us Research Program found that endometriosis diagnosis is associated with lower body mass index, ...

A quasi-experimental study found that standardizing primary care appointments to 40 minutes improved clinic wait-time satisfaction and cancer screening rates ...

A commentary in Diagnostic and Prognostic Research finds that while large language models show promise for multimodal health records, critical ...

An early implementation evaluation of Saudi Arabia's Reverse the Odds initiative shows that an electronic health record-embedded primary care program ...