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Algorithm From EHR Can ID Common Variable Immunodeficiency Disease

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74 percent of the top 100 patients ranked by PheNet were highly probable to have CVID

EHR Scheduling Aids Operating Room Scheduling Accuracy

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

AI Can Improve Identification of Social Determinants of Health in EHRs

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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

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

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

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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

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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

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

No Universally Effective Model-Updating Approach Available in ICU Setting

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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

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

Clinical Language Model Can Predict Readmission

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