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BACKGROUND: Ambient artificial intelligence (AI) documentation systems have emerged as a potential solution to clerical burden in medicine, yet evidence in emergency settings remains limited.

BACKGROUND: The rapid development of information and communication technologies has rendered informatics competencies of health care professionals critical in the digital transformation process. Nurses, who constitute a substantial proportion of the health care workforce, are expected to develop nursing informatics competencies. These competencies are crucial for effective adaptation to digital health care environments and for ensuring the delivery of safe care. Therefore, it is important that informatics competencies are assessed [...]

BACKGROUND: Ambient clinical documentation tools are increasingly used to reduce administrative burden and improve provider experience. However, evidence describing their effects at scale across large, multisite health systems remains limited.

MediLinker is a blockchain-based application for identity verification and personal health information management. To prepare for its clinical deployment, the perceptions of health consumers toward MediLinker should be examined.

Health-related social needs (HRSN) significantly influence health outcomes, yet healthcare organizations face persistent challenges tracking referrals to community-based organizations and interpreting referral outcomes across fragmented clinical and social care systems. Prior studies report low referral fulfillment rates, but much of this evidence derives from single organizations, manual data collection, or incentivized documentation workflows, limiting insight into how information infrastructure shapes what is observable at scale.

Patients living with dementia (PLWD) require attention to social determinants of health (SDoH), but social information is often unavailable or incomplete during care encounters, and clinicians report uncertainty about how to act on this information.

In our recent study we showed that GPT's ability to perform OPS-code extraction from operational reports was equivalent to coding neurosurgeons. In this study we aim to evaluate the effect of context enhancement on GPT-5's code extraction abilities.

Hospital artificial intelligence (AI) is increasingly embedded in electronic health record workflows, cloud inference pipelines, imaging, medication review, triage, early warning, documentation, and operational management. This paper proposes a risk-tiered governance framework and implementation pathway for hospital AI applications that are integrated into clinical and operational workflows.

This study evaluated the effect of a Spatial Awareness Integrated Electronic Health Record (SAI-EHR) prototype on efficiency, usability, and cognitive workload among intensive care nurses performing standardized documentation tasks, compared with a traditional linear flowsheet-style interface (LID-EHR).

Clinical documentation consumes substantial clinician time, potentially detracting from patient care. Generative artificial intelligence (AI) may support drafting discharge summaries and patient referral documents, but feasibility in non-Western-language oncology settings using real-world electronic health record (EHR) data remains insufficiently evaluated. This study assessed feasibility in a Japanese cancer hospital using an enterprise AI system.