Journal of Urgent Care Medicine

Will AI Discharge Summaries Help To Reduce Burnout?

AI-generated reports using large language models (LLMs) seem inevitable in healthcare, especially when it comes to the time-consuming task of writing up patient discharge summaries, a commentary post in JAMA Internal Medicine states. Right now, the responsibility of compiling summaries is one of the many administrative burdens leading to burnout among clinicians, and leveraging LLM tools could reduce that burden if done thoughtfully and with appropriate data integration. In a related article, researchers found no …

Abstracts in Urgent Care – July/August 2025

AI Performs Well in Virtual Urgent Care Visits Take Home Point: This study indicates that an artificial intelligence (AI) algorithm was better at adhering to clinical guidelines and identifying critical red flags during virtual urgent care (UC) consultations, while physicians were better at adapting recommendations to changing information obtained during a patient consultation. Citation: Zeltzer D, Kugler Z, Hayat L, et al. Comparison of Initial Artificial Intelligence (AI) and Final Physician Recommendations in AI-Assisted Virtual …

AI Model Triages Primary Care Cases To Specialty Care

In a study published in JAMA Network Open, researchers developed an artificial intelligence (AI) model and tested its ability to assist in triaging referrals from primary care to specialized care. Evaluated against a reference standard, the AI tool achieved good overall accuracy of 0.716 (95% confidence interval [CI], 0.694-0.737) of referrals with high specificity (0.801, 95%CI, 0.777-0.822) but lower sensitivity (0.542, 95%CI, 0.501-0.582). In other words, the AI model correctly classified 71.6% of referrals while …

Federal Agencies Choose New Chiefs to Set Large-Scale AI Policies

A directive issued in April from the federal Office of Management and Budget calls on each federal agency to appoint a chief artificial intelligence (AI) officer by early June, according to Becker’s. New officers will be tasked with overseeing AI adoption, ensuring compliance with risk management protocols, and building an AI-ready workforce. In response, the Department of Health and Human Services created its new position of Chief AI Officer and named Peter Bowman-Davis, a Yale …

Two AI Trends That Will Change Urgent Care

Alan A. Ayers, MBA, MAcc Urgent Message: While there are seemingly countless applications for artificial intelligence in healthcare, ambient scribes and front desk automation are key solutions that are readily available for adoption by urgent care providers. Citation: Ayers AA. Two AI Trends That Will Change Urgent Care. J Urgent Care Med. 2025; 19(8):43-45 Artificial intelligence (AI) is rapidly transforming healthcare, and urgent care operators have increasing opportunities to leverage AI in a way that …

What Happens When AI Goes Head-To-Head With Urgent Care Doctors?

Accuracy among healthcare artificial intelligence (AI) tools has grown exponentially in a short amount of time, and the place for these tools in urgent care might be that much more evident now. Research published in the Annals of Internal Medicine recently concluded that AI has the ability to match and to outperform physicians delivering virtual urgent care. In fact, AI agreed with doctors’ diagnosis and management recommendations 56.8% of the time among the 461 virtual …

AI Tool Correctly Detects Epileptic Syndrome in Infants By Watching Videos

An artificial intelligence (AI) model accurately detected infantile epileptic spasm syndrome through the assessment of smartphone videos captured by families, according to a study published in a medRxiv preprint that has not been peer reviewed. Among the results, the AI model had 82% sensitivity and 90% specificity. The infantile epileptic spasm syndrome diagnosis is considered a neurologic emergency, according to MedPage Today, and experts believe the AI platform has potential as a screening tool. Infants …

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: …

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 …

Nurses Protest Use of Artificial Intelligence

Hundreds of nurses in San Francisco voiced their objections to the use of artificial intelligence (AI) in healthcare during a recent protest, according to Becker’s Hospital Review. For example, some criticized an AI feature within the Epic EHR that determines nurse staffing based on real-time charting. They argued that this method may not accurately or fairly account for their work. Additionally, some nurses raised objections to AI chatbots that interact with patients, which could create …

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