WHO Collaborating Centre for Mental Health Promotion, Prevention and Policy, Mental Health Team, Finnish Institute for Health and Welfare, Helsinki, Finland.
Faculty of Sport and Health Sciences, University of Jyvaskyla, Finland.
WHO Collaborating Centre for Mental Health Promotion, Prevention and Policy, Mental Health Team, Finnish Institute for Health and Welfare, Helsinki, Finland.
Nurses make complex triage decisions within emergency departments, which significantly affect patient outcomes. Understanding how nurses make these decisions and why they deviate from triage algorithm...
This qualitative systematic review aimed to understand decision-making processes emergency nurses use to make acuity decisions during triage assessment at initial patient presentation....
Medline, CINAHL and Academic Search Complete were systematically searched to 15th December 2022. Data were analysed using thematic synthesis. Established themes were reviewed with GRADE-CERQual to eva...
28 studies were included in the review. Data analysis uncovered three superordinate themes of holistic reasoning, situational awareness, and informed decision-making. The findings show nurses value ho...
This review presents new perspectives on nurses' decision-making processes about patient's acuity. Nurses holistically gather information about patients before translating that information into acuity...
Conscious state assessment is important for the triage of emergency patients. In this study, we measured the association between ambulance patients' conscious state and high versus lower acuity, with ...
Data were analysed from one year of emergency ambulance incidents in Perth, Western Australia. Patient conscious state at the time of paramedic arrival was compared to acuity (based on paramedic asses...
The proportion of high acuity patients increased with each step across the consciousness scale. Applying conscious state as a binary predictor of acuity, the largest increases occurred moving the thre...
Based on these proportions of high acuity patients, it is reasonable to consider patients with any altered conscious state a high priority. The value of conscious state assessment for predicting acuit...
The introduction of large language models (LLMs), such as Generative Pre-trained Transformer 4 (GPT-4; OpenAI), has generated significant interest in health care, yet studies evaluating their performa...
To determine whether an LLM can accurately assess clinical acuity in the emergency department (ED)....
This cross-sectional study identified all adult ED visits from January 1, 2012, to January 17, 2023, at the University of California, San Francisco, with a documented Emergency Severity Index (ESI) ac...
The potential of the LLM to classify acuity levels of patients in the ED based on the ESI across 10 000 patient pairs. Using deidentified clinical text, the LLM was queried to identify the patient wit...
Accuracy score was calculated to evaluate the performance of both LLMs across the 10 000-pair sample. A 500-pair subsample was manually classified by a physician reviewer to compare performance betwee...
From a total of 251 401 adult ED visits, a balanced sample of 10 000 patient pairs was created wherein each pair comprised patients with disparate ESI acuity scores. Across this sample, the LLM correc...
In this cross-sectional study of 10 000 pairs of ED visits, the LLM accurately identified the patient with higher acuity when given pairs of presenting histories extracted from patients' first ED docu...
Overcrowded emergency departments (EDs) are associated with higher morbidity and mortality and suboptimal quality-of-care. Most ED flow management strategies focus on early identification and redirect...
We performed a retrospective observational study in the ED of a Canadian tertiary trauma center where a redirection process for low-acuity patients was implemented. The process was based on a clinical...
Of 242,972 ED attendees over the study period, 9546 (8% of 121,116 post-intervention patients) were redirected to a nearby primary medical clinic. After the redirection process was implemented, length...
Implementing a redirection process for low-acuity ED patients based on a clinical support system was associated with improvements in two of four ED performance indicators....
Emergency departments (ED) worldwide have to cope with rising patient numbers. Low-acuity consulters who could receive a more suitable treatment in primary care (PC) increase caseloads, and lack of PC...
Qualitative semi-structured telephone interviews were conducted with 32 low-acuity ED consulters with no self-reported attachment to a GP. Participants were recruited from three EDs in the city center...
Interviewed patients reported heterogeneous factors contributing to their PC utilization behavior and underlying views and experiences. Participants most prominently voiced a rare need for medical ser...
Understanding reasons of low-acuity ED patients for GP non-utilization can play an important role in the design and implementation of patient-centered care interventions for PC integration. Increasing...
German Clinical Trials Register: DRKS00023480; date: 2020/11/27....
To evaluate the extent to which patient-users reporting symptoms of five severe/acute conditions requiring emergency care to an AI-based virtual triage (VT) engine had no intention to get such care, a...
A dataset of 3,022,882 VT interviews conducted over 16 months was evaluated to quantify and describe patient-users reporting symptoms of five potentially life-threatening conditions whose pre-triage h...
Healthcare intent data was obtained for 12,101 VT patient-user interviews. Across all five conditions a weighted mean of 38.5% of individuals whose VT indicated a condition requiring emergency care ha...
AI-based VT may offer a vehicle for early detection and care acuity alignment of severe evolving pathology by engaging patients who believe their symptoms are not serious, and for accelerating care re...
The leading diagnostic tool in modern ophthalmology, Optical Coherence Tomography (OCT), is not yet able to establish the evolution of retinal diseases. Our task is to forecast the progression of reti...
The purpose of this study was to predict visual acuity (VA) 90 days after presentation for patients with microbial keratitis (MK) from data at the initial clinical ophthalmic encounter....
Patients with MK were identified in the electronic health record between August 2012 and February 2021. Random forest (RF) models were used to predict 90-day VA < 20/40 [visual impairment (VI)]. Predi...
One thousand seven hundred ninety-one patients were identified. The presenting logMAR VA was on average 0.86 (Snellen equivalent and standard deviation = 20/144 ± 12.6 lines) in the affected or worse ...
RF modeling yielded good sensitivity and specificity to predict VI at 90 days which could guide clinicians about the risk of poor vision outcomes for patients with MK....
To determine factors influencing patient satisfaction scores in recipients of refractive surgery....
In this prospective survey-based study, patients who had refractive surgery at an outpatient refractive clinic completed a survey of selected questions from the Press Ganey survey and the National Eye...
Fifty-three patients were recruited over a 3-year period. Most were male (55%) and middle aged (mean age: 34 years). Eleven percent underwent photorefractive keratectomy surgery and the rest had laser...
This study found persistent high patient satisfaction score across a variation of characteristics, suggesting that optimal scores are mainstay after refractive surgery procedures with excellent visual...
Idiopathic pulmonary fibrosis (IPF) is a progressive fibrosing interstitial lung disease characterised by decline in lung function. We evaluated trajectories of forced vital capacity (FVC) and diffusi...
Patients with IPF that was diagnosed or confirmed at the enrolling centre in the previous 6 months were enrolled into the IPF-PRO Registry between June 2014 and October 2018. Patients were followed pr...
Of 1002 patients in the registry, 941 had ≥ 1 FVC and/or DLco measurement after enrolment. The median (Q1, Q3) follow-up period was 35.1 (18.9, 47.2) months. Overall, mean estimated declines in FVC an...
Data from the IPF-PRO Registry suggest a constant rate of decline in lung function over a prolonged period, supporting the inexorably progressive nature of IPF. A graphical abstract summarising the da...
NCT01915511....
