Results 301 to 310 of about 188,631 (352)
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Human intelligence versus Chat-GPT: who performs better in correctly classifying patients in triage?
American Journal of Emergency MedicineINTRODUCTION Chat-GPT is rapidly emerging as a promising and potentially revolutionary tool in medicine. One of its possible applications is the stratification of patients according to the severity of clinical conditions and prognosis during the triage ...
Arian Zaboli +4 more
semanticscholar +1 more source
American Journal of Emergency Medicine
BACKGROUND The rise in emergency department presentations globally poses challenges for efficient patient management. To address this, various strategies aim to expedite patient management.
S. Paslı +5 more
semanticscholar +1 more source
BACKGROUND The rise in emergency department presentations globally poses challenges for efficient patient management. To address this, various strategies aim to expedite patient management.
S. Paslı +5 more
semanticscholar +1 more source
Machine learning methods applied to triage in emergency services: A systematic review.
International Emergency Nursing, 2021BACKGROUND In emergency services is important to accurately assess and classify symptoms, which may be improved with the help of technology. One mechanism that could help and improve predictions from health records or patient flow is machine learning (ML)
Rocío Sánchez-Salmerón +6 more
semanticscholar +1 more source
Alternatives to the High Cost of Litigation, 2021
Although early in the litigation, mediation seemed like a good idea.
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Although early in the litigation, mediation seemed like a good idea.
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American Journal of Emergency Medicine
BACKGROUND The number of emergency department (ED) visits has been on steady increase globally. Artificial Intelligence (AI) technologies, including Large Language Model (LLMs)-based generative AI models, have shown promise in improving triage accuracy ...
B. Arslan +3 more
semanticscholar +1 more source
BACKGROUND The number of emergency department (ED) visits has been on steady increase globally. Artificial Intelligence (AI) technologies, including Large Language Model (LLMs)-based generative AI models, have shown promise in improving triage accuracy ...
B. Arslan +3 more
semanticscholar +1 more source
Nursing Clinics of North America, 1981
Triage is the process by which patients are assessed upon their arrival at a health care facility to determine the urgency of their problem and to determine the appropriate health care resource. Of the five major types of triage, advanced triage is the most comprehensive system.
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Triage is the process by which patients are assessed upon their arrival at a health care facility to determine the urgency of their problem and to determine the appropriate health care resource. Of the five major types of triage, advanced triage is the most comprehensive system.
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Comparative analysis of ChatGPT, Gemini and emergency medicine specialist in ESI triage assessment.
American Journal of Emergency MedicineINTRODUCTION The term Artificial Intelligence (AI) was first coined in the 1960s and has made significant progress up to the present day. During this period, numerous AI applications have been developed.
Gürbüz Meral +4 more
semanticscholar +1 more source
Emergency Triage: Comparing a Novel Computer Triage Program with Standard Triage
Academic Emergency Medicine, 2005Emergency department (ED) triage prioritizes patients based on urgency of care; however, little previous testing of triage tools in a live ED environment has been performed.To determine the agreement between a computer decision tool and memory-based triage.Consecutive patients presenting to a large, urban, tertiary care ED were assessed in the usual ...
Sandy L, Dong +6 more
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The Lancet Digital Health
BACKGROUND Artificial intelligence (AI) applications in health care have been effective in many areas of medicine, but they are often trained for a single task using labelled data, making deployment and generalisability challenging.
D. M. Levine +6 more
exaly +2 more sources
BACKGROUND Artificial intelligence (AI) applications in health care have been effective in many areas of medicine, but they are often trained for a single task using labelled data, making deployment and generalisability challenging.
D. M. Levine +6 more
exaly +2 more sources
Journal of PeriAnesthesia Nursing, 1999
Financial planning involves budgeting, risk management, short- and long-term investing, retirement planning, and wealth transfer. Most people lack the expertise and discipline to accomplish all of these areas of planning alone which present the need for a planning expert.
openaire +2 more sources
Financial planning involves budgeting, risk management, short- and long-term investing, retirement planning, and wealth transfer. Most people lack the expertise and discipline to accomplish all of these areas of planning alone which present the need for a planning expert.
openaire +2 more sources