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Platforms like tranSMART assist researchers in analyzing clinical and corresponding omics data. Usability is an important, yet often overlooked, factor affecting the adoption and meaningful use. Analyses on the specific needs of translational researchers and considerations about the application of such platforms for education are rare.

Background Previous studies described attending physicians' perceptions of the benefits and downsides of having the electronic health record (EHR) in the room during a clinical encounter. The perspective of residents has received little attention. Objective The goal of this project was to solicit internal medicine residents' perception of EHR use in primary care clinic visits. In this report, we focus on residents' perception of screen-sharing. Methods We conducted qualitative, semistructured interviews of internal [...]

Background A detailed understanding of electronic health record (EHR) workflow patterns and information use is necessary to inform user-centered design of critical care information systems. While developing a longitudinal medical record visualization tool to facilitate electronic chart review (ECR) for medical intensive care unit (MICU) clinicians, we found inadequate research on clinician–EHR interactions. Objective We systematically studied EHR information use and workflow among MICU clinicians to determine the optimal selection and display [...]

Background Around the world, people receive care at various institutions; therefore, clinical information is recorded either on paper or distributed on different information systems with reduced capabilities for sharing data. One approach to handling the complex nature of the health information systems and making it interoperable is the two-level modeling, and the ISO 13606 standard is an option to support this model. A regionally governed EHR program in Brazil proposed to [...]

Background mHealth apps may be useful tools for supporting chronic disease management. Objective Our aim was to apply user-centered design principles to efficiently identify core components for an mHealth-based asthma symptom–monitoring intervention using patient-reported outcomes (PROs). Methods We iteratively combined principles of qualitative research, user-centered design, and “gamification” to understand patients' and providers' needs, develop and refine intervention components, develop prototypes, and create a usable mobile app to integrate with clinical workflows. We [...]

Background Clinical care team members in Department of Veterans' Affairs (VA) facilities nationwide are working to integrate the use of Secure Messaging (SM) into care delivery and identify innovative uses. Identifying best practices for proactive use of SM is a key factor in its successful implementation and sustained use by VA clinical care team members and veterans. Objectives A collaborative project solicited input from VA clinical care teams about their local practices [...]

Scribes are assisting Emergency Physicians by writing their electronic clinical notes at the bedside during consultations. They increase physician productivity and improve their working conditions. The quality of Emergency scribe notes is unevaluated and important to determine.

To determine the impact of the introduction of new pre-written orders for antimicrobials in a computerized provider order entry (CPOE) system on 1) accuracy of documented indications for antimicrobials in the CPOE system, 2) appropriateness of antimicrobial prescribing, and 3) compliance with the hospital's antimicrobial policy. Prescriber opinions of the new decision support were also explored to determine why the redesign was effective or ineffective in altering prescribing practices.

Determine if clinical decision support (CDS) malfunctions occur in a commercial electronic health record (EHR) system, characterize their pathways and describe methods of detection.

Computerized clinical decision support and automation of warnings have been advocated to assist clinicians in detecting patients at risk of physiological instability. To provide reliable support such systems are dependent on high-quality vital sign data. Data quality depends on how, when and why the data is captured and/or documented.