Results 161 to 170 of about 26,010 (236)

Artificial Intelligence Technologies in Nursing Clinical Decision‐Making: An Umbrella Review

open access: yesJournal of Advanced Nursing, EarlyView.
ABSTRACT Aim To describe contemporary peer‐reviewed literature on artificial intelligence in nurses' clinical decision‐making. Methods An umbrella review of literature reviews. Data Sources Four major databases were searched for reviews published between 2019 and 2024.
Robyn Cant, Colleen Ryan, Ritesh Chugh
wiley   +1 more source

Wearable Electronic Monitoring of Vital Signs in Hospitalised Adults: A Nursing Focused Scoping Review of Clinical, Economic and Implementation Outcomes

open access: yesJournal of Advanced Nursing, EarlyView.
ABSTRACT Aim To synthesise evidence on wearable devices for continuous vital signs monitoring in adult hospital inpatients, focusing on clinical effectiveness, nursing perspectives, workflow impact, patient experience and resource implications. Design Scoping review.
Sian Myfanwy Shaw   +2 more
wiley   +1 more source

Waist‐to‐height ratio and renal dysfunction as independent correlates of low handgrip strength in patients with type 2 diabetes

open access: yesJournal of Diabetes Investigation, EarlyView.
In 1,468 patients with type 2 diabetes, central obesity (WHtR >0.5) neutralizes the protective effects of higher BMI on muscle strength. Concurrently, visceral adiposity and CKD impose an additive threat, maximizing low handgrip strength risk (aOR = 1.74). Combining WHtR and renal tracking optimizes clinical sarcopenia screening.
Shing‐Hua Chen   +4 more
wiley   +1 more source

Effectiveness and Cost‐Effectiveness of Models of Healthcare for People With Intellectual Disability in Australia: A Scoping Review

open access: yesJournal of Intellectual Disability Research, EarlyView.
ABSTRACT Background People with intellectual disability experience significant gaps in healthcare delivery resulting in poor health outcomes. Appropriately designed healthcare is required to meet the needs of this population and achieve better health outcomes.
Jenny Downs   +6 more
wiley   +1 more source

Evaluating Large Language Model‐Assisted Emergency Triage: A Comparison of Acuity Assessments by GPT‐4 and Medical Experts

open access: yesJournal of Clinical Nursing, EarlyView.
ABSTRACT Aim To evaluate the accuracy of the Emergency Severity Index (ESI) assignments by GPT‐4, a large language model (LLM), compared to senior emergency department (ED) nurses and physicians. Method An observational study of 100 consecutive adult ED patients was conducted. ESI scores assigned by GPT‐4, triage nurses, and by a senior clinician. Both
Gal Ben Haim   +8 more
wiley   +1 more source

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