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To develop and evaluate a pharmacogenomics information resource for pharmacists.

Quality assurance of large ontological systems such as SNOMED CT is an indispensable part of the terminology management lifecycle. We introduce a hybrid structural-lexical method for scalable and systematic discovery of missing hierarchical relations and concepts in SNOMED CT.

To assess and refine competencies for the clinical research data management profession.

To evaluate the impact of clinical decision support (CDS) tools on rates of vitamin D testing. Screening for vitamin D deficiency has increased in recent years, spurred by studies suggesting vitamin D's clinical benefits. Such screening, however, is often unsupported by evidence and can incur unnecessary costs.

To better understand clinician information needs and learning opportunities by exploring the use of best-practice algorithms across different training levels and specialties.

Comorbidity adjustment is often performed during outcomes and health care resource utilization research. Our goal was to develop an efficient algorithm in structured query language (SQL) to determine the Elixhauser comorbidity index.

To investigate time differences in recording observations and an early warning score using traditional paper charts and a novel e-Obs system in clinical practice.

To compare 3 commercial knowledge bases (KBs) used for detection and avoidance of potential drug-drug interactions (DDIs) in clinical practice.

Clinical genome and exome sequencing can diagnose pediatric patients with complex conditions that often require follow-up care with multiple specialties. The American Academy of Pediatrics emphasizes the role of the medical home and the primary care pediatrician in coordinating care for patients who need multidisciplinary support. In addition, the electronic health record (EHR) with embedded clinical decision support is recognized as an important component in providing care in this setting [...]

Nationwide initiatives have promoted greater adoption of health information technology as a means to reduce adverse drug events (ADEs). Hospital adoption of electronic health records with Meaningful Use (MU) capabilities expected to improve medication safety has grown rapidly. However, evidence that MU capabilities are associated with declines in in-hospital ADEs is lacking.