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EHR Scheduling Aids Operating Room Scheduling Accuracy

Accuracy gains driven by reduced manipulation, with significant drop in underscheduling

AI Can Improve Identification of Social Determinants of Health in EHRs

93.8 percent of patients with adverse social determinants of health were identified with large language models

Many Dead Patients Still Listed as Alive in Electronic Health Records

Deceased patients receive unnecessary outreach, including appointment reminders and prescription refills

Electronic Medical Records May Hold Early Signs of Bipolar Disorder in Adults

Health service use patterns may be indicator of bipolar disorder

More Than Half of U.S. Adults Use Internet to Look for Health, Medical Information

Adults aged 30 to 44 years have highest use of internet for communicating with doctor, doctor's office

EHR Reminders, Outreach Improve Follow-Up for Abnormal Cancer Screening

Multilevel primary care intervention improves follow-up of overdue abnormal cancer screening tests

No Universally Effective Model-Updating Approach Available in ICU Setting

A mortality prediction model lost 9 to 39 percent specificity after retraining once at a fixed sensitivity of 90 percent

AI Produces History of Present Illness Summaries Comparable With Residents

Authors say findings show potential for artificial intelligence to aid medical documentation

Clinical Language Model Can Predict Readmission

Model trained on clinical notes that accurately predict three clinical and two operational tasks

Most Patients Like Having Access to Dermatology Clinic Notes

Concerns were few and included not understanding notes or abbreviations