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We aimed to investigate bias in applying machine learning to predict real-world individual treatment effects.

Alert fatigue limits the effectiveness of medication safety alerts, a type of computerized clinical decision support (CDS). Researchers have suggested alternative interactive designs, as well as tailoring alerts to clinical roles. As examples, alerts may be tiered to convey risk, and certain alerts may be sent to pharmacists. We aimed to evaluate which variants elicit less alert fatigue.

The study sought to develop and evaluate an electronic health record-based child abuse clinical decision support system in 2 general emergency departments.

Pleiotropy, where 1 genetic locus affects multiple phenotypes, can offer significant insights in understanding the complex genotype-phenotype relationship. Although individual genotype-phenotype associations have been thoroughly explored, seemingly unrelated phenotypes can be connected genetically through common pleiotropic loci or genes. However, current analyses of pleiotropy have been challenged by both methodologic limitations and a lack of available suitable data sources.

Explore acceptability of engaging family/friends in patients' type 2 diabetes (T2D) self-management using text messaging.

With advances in technology, patients increasingly expect to access their health information on their phones and computers seamlessly, whenever needed, to meet their clinical needs. The 1996 passage of the Health Insurance Portability and Accountability Act (HIPAA), modifications made by the Health Information Technology for Economic and Clinical Health Act (HITECH), and the recent 21st Century Cures Act (Cures) promise to make patients' health information available to them without special [...]

Enterprise health information exchange (HIE) and a single electronic health record (EHR) vendor solution are 2 information exchange approaches to improve performance and increase the quality of care. This study sought to determine the association between adoption of enterprise HIE vs a single vendor environment and changes in unplanned readmissions.

Clinical data of patients' measurements and treatment history stored in electronic health record (EHR) systems are starting to be mined for better treatment options and disease associations. A primary challenge associated with utilizing EHR data is the considerable amount of missing data. Failure to address this issue can introduce significant bias in EHR-based research. Currently, imputation methods rely on correlations among the structured phenotype variables in the EHR. However, genetic [...]