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While electronic health records (EHRs) have been almost universally adopted in academic health care settings, physician training has lagged in efficient use and application. Especially for trainees, EHR training is often confined to basic EHR onboarding, with few opportunities to develop advanced skills. Moreover, literature on advanced EHR training is sparse, and curricula remain largely unstandardized.

Ambient artificial intelligence scribes are increasingly integrated into electronic health records to reduce documentation burden, but limited data describe their performance in high-complexity pediatric subspecialties.

Intravenous medication administration is a high-risk clinical procedure, where medication errors can lead to adverse consequences. Evidence-based clinical practice guidelines provide recommendations for the administration and monitoring of intravenous infusions. These guidelines are being increasingly integrated into clinical decision support systems (CDSS). The development of CDSS should emphasize nurses as core users, closely align with their clinical workflows, and ultimately create practical, user-friendly tools through thoughtful interface design, functional logic [...]

Cybersecurity attacks in healthcare have increased in number and severity over the last decade. Healthcare targets are ten times more valuable than financial targets because of the potential for fraudulent medical claims. Medical providers and administrators must ensure their IT professionals constantly scan the internal and external environment for techniques to prevent, detect, respond to, and report cyberattacks. This review provides a scan of the literature.

The Heal-Me (Healthy Eating, Active Living-Mindful Energy) version 1 is a web-based app designed to provide exercise and nutrition support to vulnerable chronic disease populations. As version 1 of the Heal-Me technology has not been evaluated for acceptance and usability within a clinical environment, this study sought to apply the Unified Theory of Acceptance and Use of Technology (UTAUT) framework to investigate its acceptance and usability as part of a [...]

Current artificial intelligence (AI) integration in patient messaging often relies on generating AI drafts for clinician review, yet this workflow has achieved limited effect.

The objective of this study is to evaluate whether ChatGPT models can reliably apply the DISCERN instrument, a 16-question human-scored rubric developed in 1999 to evaluate consumer health information, and assess the impact of prompting strategies, model choice, and scoring repeatability on agreement with human-derived DISCERN scores.

Clinical decision support (CDS) tools are designed to streamline workflows and enhance care quality in pediatric intensive care units (PICUs). Prior research has largely focused on interruptive, or active, CDS, leaving little known about the usage of passive CDS (pCDS) tools such as note writing support, order sets, and laboratory result flagging across institutions.

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.