Augmenting Large Language Models via Vector Embeddings to Improve Domain-specific Responsiveness.

Large language models (LLMs) have emerged as a popular resource for generating information relevant to a user query. Such models are created through a resource-intensive training process utilizing an extensive, static corpus of textual data. This static nature results in limitations for adoption in domains with rapidly changing knowledge, proprietary information, and sensitive data.

Team principles for successful interdisciplinary research teams.

Interdisciplinary research teams can be extremely beneficial when addressing difficult clinical problems. The incorporation of conceptual and methodological strategies from a variety of research disciplines and health professions yields transformative results. In this setting, the long-term goal of team science is to improve patient care, with emphasis on population health outcomes.

Scaling care coordination through digital engagement: stepped-wedge trial assessing readmissions.

Objectives: Transitions of care are pivotal, vulnerable times as patients are discharged from the hospital. Telephonic care coordination is standard care, but labor intensive. We implemented a patient postdischarge digital engagement (PDDE) program to scale coordination.

Referral and Prescription Patterns for Female Patients With Urinary Incontinence.

Importance: Although behavioral modifications, medications, and other interventions can improve urinary incontinence (UI), many women never receive them.

Objectives: To better characterize UI treatment patterns in primary care, we examined prescriptions and referrals to pelvic floor physical therapy (PFPT) and specialist physicians within a large Midwestern academic health system.

Study Design: Electronic health records were queried to identify a cohort of adult female patients receiving a new UI diagnosis during outpatient primary care visits from 2016 to 2020.

Effect of Implementing a Commercial Electronic Early Warning System on Outcomes of Hospitalized Patients.

Despite the widespread adoption of early warning systems (EWSs), it is uncertain if their implementation improves patient outcomes. The authors report a pre-post quasi-experimental evaluation of a commercially available EWS on patient outcomes at a 700-bed academic medical center. The EWS risk scores were visible in the electronic medical record by bedside clinicians.