Accurate prediction of suicide risk is crucial for identifying patients with elevated risk burden, helping ensure these patients receive targeted care. The US Department of Veteran …
Abstract: OBJECTIVES: To compare predictive accuracy of 3-step theory of suicide (3ST) factor scores derived from natural language processing of Veterans Health Administration …
Abstract: Purpose: To determine the positive predictive values (PPVs) of ICD-9- and ICD-10-based diagnostic coding algorithms to identify periprosthetic joint infection (PJI) …
Abstract: Background: Metabolic dysfunction associated steatotic liver disease (MASLD) is a leading cause of chronic liver disease worldwide and affects >25% in the United States …
Abstract: Background: Herpes zoster (HZ) and fragility fractures typically affect older adults and present major burdens to healthcare systems. While HZ is associated with an …
Abstract: Electronic health record (EHR) flags alert staff within the Veteran Health Administration (VHA) to patients at high suicide risk for the purpose of enhancing their care. …
Abstract: Polycystic ovary syndrome (PCOS) is the most common endocrine disorder among people who menstruate. Adolescent and young adult (AYA) military dependents, a large, diverse …
Abstract: Study Objective: Polycystic ovary syndrome (PCOS) is the most common endocrine disorder among people who menstruate. Adolescent and young adult (AYA) military dependents, …
Abstract: Clinical practice guidelines recommend trauma-focused evidence-based psychotherapy (EBP) to treat posttraumatic stress disorder (PTSD). Some veterans and clinicians …
Abstract: Objective: The Charlson Comorbidity Index (CCI), the Elixhauser Comorbidity Index (ECI), and the Functional Comorbidity Index (FCI) are validated clinical measures of …
Abstract: Background: Surveys are a useful tool for eliciting self-reported health information, but the accuracy of such information may vary. We examined the agreement between …
Abstract: Objective: Suicide risk assessment has historically relied heavily on clinical evaluations and patient self-reports. Natural language processing (NLP) of electronic …