Artificial Intelligence Technologies in Nursing Clinical Decision‐Making: An Umbrella Review
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
Integrated Digital Decision-Making Systems in Maternal Nursing and Maternity Care: A Scoping Review. [PDF]
Darmayanti D +3 more
europepmc +1 more source
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
Implementing UK Oncology Nursing Society-Informed Digital Symptom Triage With Episode-Based Review in Routine NHS Acute Oncology: Service Evaluation. [PDF]
Mohamed Azhar MS +7 more
europepmc +1 more source
Workflow Bottlenecks and Staff Readiness in an NHS Emergency Urology Clinic: A Prospective Service Evaluation to Inform Future AI-Supported Triage. [PDF]
Chen C, Cotton A, Gresser L, Yap T.
europepmc +1 more source
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
Artificial Intelligence-Mediated Teledentistry for Ageing Populations: Toward Intelligent Intermediary Support in Home-Based Oral Care. [PDF]
Mosaddad SA.
europepmc +1 more source
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
Real-World Performance of a New Online Eye Symptom Triage Tool (Eye+Dot) in an Emergency Eye Clinic: Mixed Methods Evaluation Study. [PDF]
Allen L, Lim JO, Liu F, Alex N.
europepmc +1 more source
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

