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The study sought to identify barriers to and facilitators of point-of-care information seeking and use of knowledge resources.

We assess working relationships and collaborations within and between diabetes health care provider teams using social network analysis and a multi-scale community detection.

Identifying drug discontinuation (DDC) events and understanding their reasons are important for medication management and drug safety surveillance. Structured data resources are often incomplete and lack reason information. In this article, we assessed the ability of natural language processing (NLP) systems to unlock DDC information from clinical narratives automatically.

The objective of this study was to assess the potential of combining graph learning methods with latent variable estimation methods for mining clinically useful information from observational clinical data sets.

Patient portal functionalities, such as patient-physician e-communication, can benefit patients by improving clinical outcomes. Utilization has historically been low but may have increased in recent years due to the implementation of Stage 2 Meaningful Use for electronic health records. This study has 2 objectives: 1) to compare patient portal utilization rates before Stage 2 (2011-2013) and after Stage 2 (2014-2017), and 2) to examine whether disparities in patient portal utilization [...]

Despite increased use of electronic health records (EHRs), the clinical impact of system downtime is unknown.

The study sought to examine whether provider encouragement is associated with improvements in engaging patients with their healthcare processes using online portals.

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

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 [...]