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Phenotype libraries accelerate health research through the reuse of algorithms. However, multiple libraries exist with differing metadata standards. We describe the integration of libraries using shared conceptual standards to harmonize definitions.

This study evaluated the quality and trustworthiness of large language model (LLM)-generated scientific and plain language summaries (PLS) from clinical oncology literature, focusing on faithfulness (absence of hallucinations), relevance, and readability.

Electronic health record (EHR) data can enrich investigation of maternal health and pregnancy in large populations. However, many outpatient care settings lack data infrastructure to record pregnancy start and end dates, limiting the reach of EHR-based research. We examined the accuracy of pregnancy dates estimated from outpatient EHR data, compared to linked state birth certificate data.

To assess the reliability and confidence calibration of Large Language Models (LLMs) when communicating multi-cancer early detection (MCED) test characteristics in an expert-informed clinical evaluation.

Immune checkpoint inhibitors (ICIs) have revolutionized cancer treatment, but their clinical benefit is limited by the onset of immune-related adverse events (irAEs). Real-world pharmacovigilance data, such as the FDA's Adverse Event Reporting System (FAERS) database, offer the scale needed to better characterize and understand these toxicities. However, extracting cohorts and normalizing complex fields requires expertise in data preprocessing, technical terminology harmonization, and programming.

This study assessed over 2000 patient perspectives on the use of ambient AI scribes in outpatient visits.

To develop a cohort identification algorithm that captures pregnancy episodes in electronic health record data and characterize demographic and clinical data for eligible patients.

Speech-language delay (SLD) is a developmental condition often identified by pediatricians. While early intervention is recommended, it is common for pediatricians to take a "watch and wait" approach. We sought to assess whether there is discordance between documented concerns and diagnostic coding of SLD and whether discordances differ based on sociodemographic, clinical, and service utilization characteristics.

Virtual hospitals differ from brick-and-mortar hospitals across many elements of the socio-technical work system, particularly their complete reliance on digital tools for communication and care coordination. It is currently unclear whether existing initiatives to improve clinical documentation in brick-and-mortar hospitals are fit for purpose in virtual hospital settings. This study aimed to examine the documentation experiences of clinicians when using technologies to support care delivery in a virtual hospital and [...]

To evaluate whether an electronic health record (EHR) cohort has sufficient data quality to support target trial emulation design elements, using Medicare claims as a reference for billing-derived domains and linked EHR-claims data to illustrate the incremental value of linkage.