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In a randomized controlled trial, we found that applying implementation science (IS) methods and best practices in clinical decision support (CDS) design to create a locally customized, "enhanced" CDS significantly improved evidence-based prescribing of β blockers (BB) for heart failure compared with an unmodified commercially available CDS. At trial conclusion, the enhanced CDS was expanded to all sites. The purpose of this study was to evaluate the real-world sustained effect [...]

Successful delivery of digital health interventions is affected by multiple real-world factors. These factors may be identified in routinely collected, ecologically valid data from these interventions. We propose ideas for exploring these data, focusing on interventions targeting complex, comorbid conditions.

Determine the extent to which use of Clinical Video Telehealth to Home (VT2H) for primary care licensed independent practitioner visits (PCLIPVs) varied over time and across the Veterans Health Administration (VA) during the first 18 months of the COVID pandemic, and if there was an association between VT2H usage and VA station characteristics.

We developed a push notification allowing for an electronic acknowledgment of critical lab results to providers in the intensive care unit.

We have previously developed a natural language processing pipeline using clinical notes written by epilepsy specialists to extract seizure freedom, seizure frequency text, and date of last seizure text for patients with epilepsy. It is important to understand how our methods generalize to new care contexts.

Text messages used by healthcare organizations to communicate with patients have known limitations for certain populations, especially older adults. This study analyzed text message interactions with over 17 000 patients aged 65 and older during the initial phase of the COVID-19 vaccination campaign. We coded the responses of 4247 patients who responded to this outreach to understand issues they experienced with the text message system. Our analysis highlighted areas for technology [...]

To identify a cohort of COVID-19 cases, including when evidence of virus positivity was only mentioned in the clinical text, not in structured laboratory data in the electronic health record (EHR).

The aim of this study was to determine the methods and metrics used to evaluate the usability of mobile application Clinical Decision Support Systems (CDSSs) used in healthcare emergencies. Secondary aims were to describe the characteristics and usability of evaluated CDSSs.

Synthea is a synthetic patient generator that creates synthetic medical records, including medication profiles. Prior to our work, Synthea produced unrealistic medication data that did not accurately reflect prescribing patterns. This project aimed to create an open-source synthetic medication database that could integrate with Synthea to create realistic patient medication profiles.