Hospitals Are Drowning in Patient Data While Missing the Warning Signs That Matter
A new viewpoint in the Journal of General Internal Medicine argues that hospitals already collect the data needed to prevent ...
A new viewpoint in the Journal of General Internal Medicine argues that hospitals already collect the data needed to prevent ...
Vanderbilt researchers have built a reusable pipeline that cleans and imputes minute-by-minute ICU arterial blood pressure data from electronic health ...
A large analysis of repeated distress screening in oncology finds overwhelming rates of zero scores that statistical modeling suggests are ...
A large real-world analysis of electronic health records using the TriNetX network indicates that patients with hidradenitis suppurativa face an ...
A new analysis of 1,421 patients with both conditions finds irritable bowel syndrome is typically documented before rosacea, a pattern ...
A national cohort study using the TriNetX database links hyperpigmentation to an increased risk of mood disorders, underscoring the psychological ...
Researchers at the University of Aveiro have developed the EHDEN Catalogue, a web-based platform that applies FAIR principles and the ...
Researchers used human-centered design with patients and clinicians at six community health centers to co-design low-cost strategies for adopting home ...
A realist review of thirty studies identifies the patient-side and provider-side conditions that determine whether digital messages delivered through electronic ...
A dual-cohort study of hundreds of thousands of Israeli and American health records links severe vitamin D deficiency to elevated ...
A qualitative study at St Anne's Mission Hospital in rural Zimbabwe finds that health workers value the Impilo electronic health ...
A machine learning model called Amylo-Detect uses routine electronic health record data to identify patients at risk for cardiac amyloidosis, ...
A Houston study of nearly 8,000 pediatric appointments found that while social risk data did not improve AI no-show prediction, ...
A Harvard-led chart review has identified which ICD-10 billing code strategies most accurately identify true rosacea patients in electronic health ...
A controlled evaluation of eight ambient voice technologies found that 30 to 68 percent of AI-transcribed surgical records contained clinically ...
An integrated analysis of human genetics, patient-derived cell models and electronic health records has identified 19 Alzheimer's drug targets in ...
A large All of Us study finds that REM sleep behavior disorder, mild cognitive impairment, and orthostatic hypotension are the ...
An analysis of nearly half a million clinical trials and real-world data from over 91,000 patients reveals that immune-related side ...
A landmark analysis of electronic health record data from nearly 15,000 patients with cancer identifies four consistent symptom trajectories and ...
A two-year hospital trial screening effort generated 9,140 flagged records but enrolled only 23 patients on buprenorphine, exposing both algorithmic ...
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