JMIRx Med

Emergency nursing is essential to healthcare systems worldwide. Triage plays a pivotal role in emergency nursing, prioritizing patients based on the urgency of their medical condition and focusing on rapid assessment and prioritization of patient care according to their condition and its severity. In the emergency department, the triage nurse assesses vital signs and gathers information from the patient to determine the severity of their condition. This aims to provide appropriate medical interv...

Artificial intelligence (AI), particularly large language models (LLMs), is increasingly explored in healthcare, yet its real-world usability and safety in high-risk clinical pharmacy tasks remain uncertain. Vancomycin therapeutic drug monitoring (TDM), which requires precise pharmacokinetic calculations and context-sensitive interpretation within a narrow therapeutic window, provides a stringent test case for AI-assisted decision support. This proof-of-concept study developed and evaluated a hy...

BackgroundApproximately 33% of U.S. Veterans live in rural areas, often facing significant barriers to accessing healthcare due to staffing shortages at VA facilities. The Contract Buyout (CBO) program, authorized under the PACT Act of 2022, was designed to address rural healthcare staffing shortages by enabling Veterans Health Administration (VHA) facilities to buy out existing service contracts to work in rural VA facilities. Despite its potential, uptake of the program has been limited, with ...

BackgroundA Hospital Medicine Advanced Practice Provider (HMAPP)-led care model developed in response to the high acuity and increased patient volumes associated with the Covid-19 pandemic. Although anecdotally perceived as a successful model, questions remained if there was adequate pre-planning and formal implementation strategy for stakeholder buy-in. ObjectiveTo elicit HM physicians and APPs perceptions of the HMAPP-led care model implementation and consider necessary steps for optimal futu...

BackgroundElectronic Health Records(EHR) are very crucial for Clinical Decision Support Systems and for proper care to be delivered to ICU heart failure patients, there is often missing data due to monitoring device errors thus the need for robust imputation methodologies. ObjectiveTo compare and evaluate three different methodologies for imputing missing data for heart failure patients from the MIMIC-III database: Denoising Autoencoder (DAE), Self-Attention Imputation for Time Series (SAITS), ...

Background Artificial intelligence (AI) is increasingly being integrated into healthcare systems, with growing applications in clinical decision support, workflow optimization, and population health management. While substantial investments have been made in digital infrastructure, the successful adoption of AI in primary care depends critically on the readiness, awareness, and educational preparedness of healthcare professionals. Global health authorities emphasize the need for ethically ground...

BackgroundBehavioral telemetry--the analysis of clinical actions NOT taken--may identify care process failures associated with adverse outcomes. While missed nursing care predicts outcomes in survey-based studies, objective EHR-derived measures are lacking. We hypothesized that missing routine cognitive assessment in ICU patients with low acute physiologic derangement would predict mortality independent of illness severity. MethodsRetrospective cohort study using MIMIC-IV (2008-2022, Beth Israe...

Academic institutions privilege norms of continuous productivity and uninterrupted availability, creating conformity pressures that systematically disadvantage those who deviate from an implicit template of the ideal academic. This study explores how doctoral students and faculty in the health sciences perceive the reproduction of social homogeneity. Semi-structured interviews were conducted with nine participants at a German university hospital. Data were analysed using reflexive thematic anal...

BackgroundPost-marketing surveillance is essential for complementing the safety profiles of medicinal products, especially for populations generally excluded from clinical trials such as pregnant individuals. However, the absence of a standardised pregnancy indicator in the electronic transmissions of adverse event reports hampers their correct identification in pharmacovigilance databases and complicates the study of safety concerns related to pregnancy exposures. Three recently developed rule-...

ObjectiveTo develop and psychometrically evaluate an assessment of symptoms in myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) MethodsAn initial symptom list was devised from the relevant literature with the patient and clinician advisory groups. An online survey with 85 symptom items in eight domains was completed by people with ME/CFS. Each item had two response structures (assessing symptom frequency and severity on five-point scales). Rasch analysis assessed each domain for unid...

ObjectiveTo evaluate the criterion-related and discriminant validity, test-retest reliability and minimal detectable difference of The Index of ME Symptoms (TIMES) in myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) MethodsPeople with ME/CFS in the UK completed the TIMES online (n=1055). Rasch-transformed interval data and parametric statistics were used: Pearson correlations (with the ME severity scale); analysis of variance; intra-class correlations (ICC) and standard error of meas...

ObjectiveAlthough trauma-focused psychotherapies are effective for posttraumatic stress disorder (PTSD), recovery under routine outpatient conditions remains variable. We examined whether participation in a structured Specialty Care (SC) model integrating clinician specialization, flexible treatment density, and coordinated navigation was associated with accelerated PTSD recovery compared with standard outpatient care. MethodsWe conducted a retrospective matched cohort study (2024-2025) of U.S....

IntroductionHealthcare organizations have begun incorporating screening procedures for social determinants of health (SDOH) into care, recognizing the impact these factors can have on health outcomes. We aimed to present methods for evaluating redundancy in the risk information gained across SDOH questions and for evaluating whether demographic biases are present in whether patients were asked SDOH questions and whether they declined to answer them. MethodsSDOH question data were analyzed for 1...

BackgroundThe physician assistant (PA) workforce has expanded rapidly in the United States, increasing the importance of effective physician-PA collaboration. Although PAs improve patient outcomes and access to care, the determinants of effective collaboration has not been well studied. North Carolina provides a relevant context due to its growing PA workforce and supervisory regulatory structure, in which physicians retain administrative responsibility for PA supervision across practice setting...

BackgroundMedical oxygen is an essential medicine that is often unavailable for patients when they need it. We explored if Outsourced Oxygen to the Bedside (O2B) pilots, where private providers deliver a package of services, were successful in ensuring reliable oxygen access at the patient bedside. MethodsWe conducted a sequential explanatory mixed-methods assessment of O2B pilots in Kenya, Nigeria, India, Tanzania, and Uganda from September 2024 - January 2025. A quantitative cross-sectional ...

BackgroundRetrieval-augmented generation (RAG) frameworks such as RAPID [1] have demonstrated that staged planning and retrieval grounding improve long-form text generation. However, most implementations remain similarity-driven and open-domain, lacking the epistemic safeguards required for biomedical synthesis, where mechanistic completeness, temporal governance, traceability, and explicit gap classification are essential. ObjectiveTo develop and evaluate a topology-aware, graph-augmented retr...

BackgroundDespite widespread recognition that patient safety learning can transcend national boundaries, no international patient safety learning system (PSLS) currently exists. There is no expert consensus on the purpose, key requirements, or feasibility of such a system. ObjectiveTo gain consensus from an international panel of healthcare experts regarding the key requirements and feasibility of a potential international PSLS, with or without an incident reporting function. MethodsA two-roun...

BackgroundAlthough ST-segment elevation myocardial infarction (STEMI) and non-STEMI (NSTEMI) are very similar regarding pathophysiology and clinical treatments, especially NSTEMI comprises a much more heterogenic group of patients and underlying diseases. We therefore aimed to assess the treatments and outcomes of both entities in a large contemporary cohort. MethodsPatients with STEMI and NSTEMI between 01/2010 to 12/2018 were identified from the largest German Health Insurance (AOK, {approx}2...

Clinical prediction models are often created using large routinely collected datasets. It is essential that prediction models are developed with appropriate data and methods and transparently reported to ensure that decisions are based on reliable predictions. Kaggle is a popular competition website where users learn and apply analysis skills on a range of datasets. We identified two large, publicly available Kaggle datasets, on stroke and diabetes, that lack clear data provenance, but are widel...

BackgroundDiagnostic errors are a leading cause of preventable patient harm, often occurring during early clinical encounters where diagnostic uncertainty is maximal. Large language models (LLMs) have shown potential in medical reasoning, yet their ability to function as a diagnostic safety net, specifically by identifying and correcting human diagnostic errors, remains systematically unquantified. We evaluated whether state-of-the-art LLMs can effectively challenge, rather than merely confirm, ...