Will AI Discharge Summaries Help To Reduce Burnout?

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 …

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Embracing AI in Medicine: The Role of Large Language Models in Healthcare

Embracing AI in Medicine: The Role of Large Language Models in Healthcare

Consider the case of a pediatric patient who presents with recurrent sore throat, erythema, no tonsillar exudates, and a negative viral panel. The patient has a positive group A strep (GAS) PCR swab, however, was recently diagnosed with streptococcal pharyngitis a couple weeks ago and just finished a course of amoxicillin 7 days ago. Is this a false positive PCR test result? What is the next appropriate course of action? What is the overall incidence …

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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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