Abstracts in Urgent Care – December 2024

Abstracts in Urgent Care – December 2024

ECG Interpretation: Humans Vs Machines Take Home Point: In this study, cardiologists and emergency physicians (EP) had greater accuracy for electrocardiogram (ECG) interpretation than current versions of ChatGPT and Gemini. Citation: Günay S, Öztürk A, YiÄŸit Y. The accuracy of Gemini, GPT-4, and GPT-4o in ECG analysis: A comparison with cardiologists and emergency medicine specialists. Am J Emerg Med. 2024 Oct:84:68-73. doi: 10.1016/j.ajem.2024.07.043. Relevance: Artificial Intelligence (AI) is rapidly evolving and becoming an integral part …

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Abstracts in Urgent Care – November 2024

Abstracts in Urgent Care – November 2024

Sophistication of ECG for Detection of Acute Coronary Syndromes Take Home Point: Cardiac electrical biomarker (CEB), a finding detectable on ECG, may hold potential for identifying patients with acute myocardial ischemia; this may have significant implications for urgent care (UC) based chest pain risk stratification. Citation: Chattopadhyay S, Adjei F, Kardos A. Changes in Cardiac Electrical Biomarker in Response to Coronary Arterial Occlusion: An Experimental Observation. J Cardiovasc Transl Res. 2024 Aug;17(4):870-878. doi: 10.1007/s12265-024-10487-w. Relevance: …

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Abstracts in Urgent Care – October 2024

Abstracts in Urgent Care – October 2024

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 …

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Abstracts in Urgent Care – September 2024

Abstracts in Urgent Care – September 2024

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: …

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Abstracts in Urgent Care – July/August 2024

Abstracts in Urgent Care – July/August 2024

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 …

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Abstracts in Urgent Care – June 2024

Abstracts in Urgent Care – June 2024

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 …

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Abstracts in Urgent Care – May 2024

Abstracts in Urgent Care – May 2024

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 …

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Abstracts in Urgent Care – April 2024

Abstracts in Urgent Care – April 2024

Rehabilitation in Post-Acute Anterior Shoulder Dislocation Take Home Point: This study suggests that routinely referring patients to a program of physical therapy is not superior to a single session of advice, supporting materials, and option to self-refer to physical therapy. Citation: Kearney R, Ellard D, Parsons H, et. al. Acute rehabilitation following traumatic anterior shoulder dislocation (ARTISAN): pragmatic, multicentre, randomised controlled trial. BMJ. 2024 Jan 17:384: e076925. doi: 10.1136/bmj-2023-076925. Relevance: Shoulder dislocations commonly present to …

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Abstracts in Urgent Care – March 2024

Abstracts in Urgent Care – March 2024

Omicron versus Flu & RSV – Which is Most Dangerous for Children? Take Home Point: In this study, hospitalization rates were highest for patients with RSV than Omicron (COVID-19) in all age groups of children. Citation: Hedberg P, Abdel-Halem L, Valik J, et. al. Outcomes of Pediatric SARS-CoV-2 Omicron Infection vs Influenza and Respiratory Syncytial Virus Infections. JAMA Pediatr. 2023 Dec 26: e235734. doi: 10.1001/jamapediatrics.2023.5734 Relevance: With increasing availability for respiratory pathogen testing, it is …

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Abstracts in Urgent Care – February 2024

Abstracts in Urgent Care – February 2024

Predicting Which Patients Need an X-Ray Before Attempting Shoulder Reduction Take Home Point: In this study, the Fresno-Québec Rule showed excellent sensitivity in identifying concomitant clinically significant fractures in patients with anterior shoulder dislocations. Citation: Benhamed A, Bonnet M, Miossec A, et. al. Performance of the Fresno-Quebec Rule in identifying patients with concomitant fractures not requiring a radiograph before shoulder dislocation reduction: a multicenter retrospective cohort study. Eur J Emerg Med. 2023 Dec 1;30(6):438-444. doi: …

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