Abstracts

Public Perceptions of Artificial Intelligence Use in Healthcare Take Home Point: Patient and healthcare workers surveyed were generally accepting of the use of artificial intelligence (AI) in medicine. Respondents did express some concern about the potential impact of AI on the accuracy of medical decision-making, however. Citation: Thornton N, Binesmael A, Horton T, et al. AI in health care: what do the public and NHS staff think? The Health Foundation. Published July 31, 2024. Accessed September 5, 2024. https://www.health.org.uk/publications/long-reads/ai-in-health-care-what-do-the-public-and-nhs-staff-think Relevance: AI is encountering rapid adoption within healthcare for various applications …
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Can Large Language Models Help in Assessing Acuity of Patients Presenting to ED? Take Home Point: Integration of large language models (LLMs) in the emergency department (ED) could enhance triage processes. This warrants further investigation particularly in the urgent care (UC) space. Citation: Williams C, Zack T, Miao B, et. al. Use of a Large Language Model to Assess Clinical Acuity of Adults in the Emergency Department. JAMA Netw Open. 2024 May 1;7(5): e248895. doi: 10.1001/jamanetworkopen.2024.8895. PMID: 38713466; PMCID: PMC11077390. Relevance: As we start to investigate the applications of artificial …
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Use of NEXUS II Clinical Decision Tool for Blunt Head Injuries in Elderly Patients Take Home Point: Older patients with blunt head-injury are at high risk of sustaining serious intracranial injuries even with low-risk mechanisms of injury, such as ground-level falls. Citation: Mower W, Akie T, Morizadeh N, et. al. Blunt Head Injury in the Elderly: Analysis of the NEXUS II Injury Cohort. Ann Emerg Med. 2024 May;83(5):457-466. doi: 10.1016/j.annemergmed.2024.01.003 Relevance: Older adults are known to be at higher risk of serious injuries after trauma and specifically age has been …
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Using AI to Detect Myocardial Infarction Take Home Point: The use of an occlusive myocardial infarction (OMI) artificial intelligence (AI) electrocardiogram (ECG) model has the potential to improve identification of acute coronary syndrome (ACS) by enabling timely and accurate detection of OMI regardless of the presence ST-segment elevation. Citation: Herman R, Meyers H, Smith S, et. al. International evaluation of an artificial intelligence-powered electrocardiogram model detecting acute coronary occlusion myocardial infarction. Eur Heart J Digit Health. 2023 Nov 28;5(2):123-133. doi: 10.1093/ehjdh/ztad074 Relevance: One-third of non–ST-elevation myocardial infarction (NSTEMI) patients have …
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Encouraging Shorter Course Antibiotic Prescribing Take Home Point: In this quality improvement project, both education with performance feedback in combination with clinical decision support (CDS) were effective in modifying clinician behavior surrounding antibiotic prescribing. Citation: Vernacchio L, Hatoun J, Patane L, et al. Improving Short Course Treatment of Pediatric Infections: A Randomized Quality Improvement Trial. Pediatrics.2024;153(2): e2023063691 Relevance: There is increasing evidence that shorter courses of antibiotics for the treatment of pediatric pneumonias (CAP) and skin and soft tissue infections (SSTI) are equally effective to longer courses with fewer side …
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