Journal of Urgent Care Medicine

Execs Rely on AI, Predict New Investment in On-Demand Care Options

Healthcare executives meeting at the J.P. Morgan Healthcare Advisory Council in New York recently highlighted how rapidly the health sector is shifting under technological, financial, and policy pressures. In terms of technology, artificial intelligence (AI) is now delivering real-world operational benefits, including shorter hospital stays, faster workflow automation, and reduced administrative burdens associated with clinician documentation, they said at the meeting. Leaders also noted that organizations need to sketch out scenario-based plans because major Medicaid …

Abstracts in Urgent Care – December 2025

Causes, Management, and Outcomes of Diplopia in the ED Take Home Point: For diplopia, binocular diplopia was the most common presentation to the emergency department (ED), with microangiopathies and strokes being the most common etiology. Citation: Occelli C, Coffin V, Raynaud O, et. al. Presentation, management and outcomes of patients with diplopia in the emergency department. Am J Emerg Med. 2025;96:170-175. doi: 10.1016/j.ajem.2025.06.024. Relevance: Patients with diplopia occasionally present to ED and urgent care (UC) …

The Case for a Generative AI Acceptable Use Policy in Urgent Care

Urgent Message: Banning generative artificial intelligence can create a culture of secretive use that presents potential risks for legal liability, clinical harm, and degradation of reputation. Key Words: Generative Artificial Intelligence; Protected Health Information; HIPAA; Clinical Decision-Making Across urgent care centers, many clinicians are experimenting with generative artificial intelligence (AI) tools. The trend is measurable, not anecdotal. The American Medical Association reports that 2 in 3 physicians used AI in 2024—a stunning rise from 38% …

My AI Journey and Practical Lessons You Can Use Now

Alan A. Ayers, MBA, MAcc My artificial intelligence (AI) awakening wasn’t a lightning bolt but a slow current—a series of small jolts. I kept encountering people who seemingly talked about AI all the time—fluent in the lingo and referred to by others as “AI gurus.” From their conversations, it was clear they were putting AI into real operations—analyzing data, streamlining tasks, even building custom AI tools and agents. But it was still as if they …

Clinicians Interested In Gaining AI Skills With Employers’ Support

A survey of 1,504 clinicians found that 55% of them are planning on looking for a new job in the next year, and 42% worry that artificial intelligence (AI) is going to replace some aspect of their jobs. Additionally, 43% of respondents say AI is also the top clinical or technical skill they will need in the next 5 years. At least 80% of responding clinicians believe their employers should invest in continuing education and …

Artificial Intelligence With a Heart: How Front Desk Automation Is Rehumanizing Urgent Care

Saji Rajasekharan Urgent care is no longer the healthcare industry’s understudy or stopgap solution—it’s become a primary point of access for millions. According to Urgent Care Association, more than 200 million visits are made to urgent care centers annually in the United States, reflecting patients’ growing demand for fast, reliable, and accessible care.[1] Patient expectations mirror those of retail: seamless digital check-ins, price transparency, and instant answers. Meeting these demands isn’t a value-add—it’s a strategic …

AI: Closing the Gap in Point-of-Care Ultrasound Adoption in Urgent Care

Tatiana Havryliuk, MD Point-of-care ultrasound (POCUS) has become a cornerstone of emergency medicine, yet its uptake in urgent care has been slow. Despite the emergence of affordable handheld ultrasound devices, many urgent care clinics have yet to integrate POCUS into routine practice. The common barriers to adoption include limited provider competence, the cost of devices, archiving solutions, and training, as well as a lack of administrative resources to support a high-quality POCUS program. The growing …

Smart Ring With AI Model Predicts Viral Respiratory Infection

It seems that artificial intelligence (AI) models can detect early acute systemic inflammation in response to viral respiratory tract infections (VRTIs) through biometric data collected from wearable devices, according to a small study published in Lancet Digital Health. In the prospective study, 55 healthy adults aged 18–59 years were monitored before and after receiving a live attenuated influenza vaccine, which simulated real-world infection. Participants continuously wore a smart ring, smart watch, and smart shirt, which …

New Lyme Disease Blood Test Promises High Sensitivity, Specificity

This week, at an annual scientific meeting of the Association for Diagnostics & Laboratory Medicine (ADLM), researchers described a blood test developed with the help of artificial intelligence (AI) that they say identifies Lyme disease sooner and more accurately than the 2-tier serology diagnostic tools currently used in medicine. The new test has sensitivity and specificity of 90% or greater, according to a press release from ADLM. Researchers created an algorithm that improved accuracy across …

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 …

Login to JUCM