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The objective of this study is to characterize pediatric resident documentation time using electronic health record (EHR) audit-log-data and to assess interindividual variability in documentation patterns.

Despite widespread investment in patient engagement technologies-such as mobile apps, chatbots, and remote monitoring tools-few have achieved sustained adoption or integration into clinical workflows. The persistent gap between pilot success and real-world scalability reflects not only technical barriers but also sociotechnical challenges involving people, processes, and policy.

Clinical informatics (CI) fellowship programs for physicians in the United States are growing with over 60 Accreditation Council for Graduate Medical Education-accredited fellowship programs. As a young clinical subspecialty, many have questions about the field; in addition, fellowship eligibility and structure vary significantly. Physicians apply for CI fellowships through Electronic Residency Application Service and the American Medical Informatics Association (AMIA) Match. Fellowship websites are essential resources for prospective applicants to [...]

Patient portals, as extensions of electronic health records (EHRs), play a critical role in providing patients with access to diagnoses, test results, and clinical communication. Despite their potential benefits, portals often inherit usability issues from EHRs, which can make information difficult to navigate or interpret, and errors can compromise patient safety and affect clinical decision-making.

Poor documentation quality can significantly affect health care operations, but the feedback process for clinicians to improve clinical notes is time-consuming and often insufficient. Large language models (LLMs) such as Generative Pre-trained Transformer 4 (GPT-4) have the potential to streamline this process.

Digital health physical activity (PA) programs have shown promise for improving the health and wellness of family caregivers (FCGs). However, their use among older adult caregivers remains underexplored. To address this gap, we developed TPA4You, a tailored digital health PA program that integrates videoconferencing with a health coach, a fitness tracker, and motivational messaging. The program is designed to support older caregivers, a population whose health and self-care needs are [...]

This study evaluates the performance of multiple large language models (LLMs) on specialized otolaryngology knowledge, comparing OpenAI's GPT-4 Turbo with 10 commercially available models to assess their potential utility in otolaryngology medical education.A total of 1,075 questions from OTO QUEST, the official self-assessment resource of the American Academy of Otolaryngology-Head and Neck Surgery, were administered to GPT-4 Turbo using a zero-shot approach. Accuracy was analyzed using logistic regression, adjusting for [...]

Central line-associated bloodstream infections (CLABSIs) are a significant concern in pediatric intensive care units (PICUs), leading to increased morbidity and limited treatment options. Electronic health record (EHR)-based documentation for monitoring CLABSIs may enhance bundle compliance and reduce infection rates. However, data in pediatric settings are limited.This study evaluated the impact of transitioning from paper-based to EHR-based documentation for central line maintenance on CLABSI rates in intensive care units (ICUs).A retrospective [...]

Electronic patient-centered clinical decision support enhances chronic disease self-management, yet few studies describe how qualitative user feedback is systematically translated into programming improvements. The Collaboration-Oriented Approach to Controlling High Blood Pressure (COACH) is a patient-facing decision support tool for hypertension management, designed for primary care and integration with electronic health records (EHRs) and patient portals.This study aimed to describe how end-user feedback informed COACH programming decisions and the MoSCoW (Must [...]

The objective of this study is to determine whether primary care electronic health record (EHR) data are sufficiently complete and plausible to support automated audits of antimicrobial prescribing quality.Cross-sectional descriptive assessment of antimicrobial auditing-related fields in Patron, a large Australian primary care EHR dataset with 3.5 million patients from 129 consenting general practices. Data from 2018 to 2022 were evaluated using the Harmonized Data Quality Assessment Terminology and Framework, covering [...]