College of Medicine, The Ohio State University, Columbus, OH, 43210, USA.
Michigan Medicine, University of Michigan, Ann Arbor, MI, USA.
Ann Biomed Eng. 2023 Sep;51(9):1906-1909. doi: 10.1007/s10439-023-03256-4. Epub 2023 Jun 24.
The implementation of technology in healthcare has revolutionized patient-centered decision making by providing contextualized information about a patient's healthcare journey, leading to increased efficiency (Keyworth et al. in BMC Med Inform Decis Mak 18:93, 2018, https://doi.org/10.1186/s12911-018-0661-3 ). Artificial intelligence has been integrated within Electronic Health Records (EHR) to prompt screenings or diagnostic tests based on a patient's holistic health profile. While larger hospitals have already widely adopted these technologies, free clinics hold lower utilization of these advanced capability EHRs. The patient population at a free clinic faces a multitude of factors that limits their access to comprehensive care, thus requiring necessary efforts and measures to close the gap in healthcare disparities. Emerging Artificial Intelligence (AI) technology, such as OpenAI's ChatGPT, GPT-4, and other large language models (LLMs) have remarkable potential to improve patient care outcomes, promote health equity, and enhance comprehensive and holistic care in resource-limited settings. This paper aims to identify areas in which integrating these LLM AI advancements into free clinics operations can optimize and streamline healthcare delivery to underserved patient populations. This paper also identifies areas of improvements in GPT that are necessary to deliver those services.
医疗保健领域的技术应用通过提供患者医疗保健之旅的相关信息，实现了以患者为中心的决策，从而提高了效率（Keyworth 等人，BMC Med Inform Decis Mak 18:93，2018，https://doi.org/10.1186/s12911-018-0661-3）。人工智能已经整合到电子健康记录（EHR）中，根据患者的整体健康状况提示进行筛查或诊断测试。虽然较大的医院已经广泛采用了这些技术，但免费诊所对这些高级功能的 EHR 的利用率较低。免费诊所的患者群体面临着许多限制他们获得全面护理的因素，因此需要采取必要的措施来缩小医疗保健差距。新兴的人工智能（AI）技术，如 OpenAI 的 ChatGPT、GPT-4 和其他大型语言模型（LLM），具有显著改善患者护理结果、促进健康公平以及增强资源有限环境中全面整体护理的潜力。本文旨在确定将这些 LLM AI 技术融入免费诊所运营中的哪些领域可以优化和简化对服务不足的患者群体的医疗服务。本文还确定了 GPT 需要改进的领域，以便提供这些服务。
