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GPT Technology to Help Address Longstanding Barriers to Care in Free Medical Clinics

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Abstract

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.

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Authors and Affiliations

  1. College of Medicine, The Ohio State University, Columbus, OH, 43210, USA

    Hannah Ong

  2. Michigan Medicine, University of Michigan, Ann Arbor, MI, USA

    Joshua Ong

  3. Department of Physical Therapy, Virginia Commonwealth University, Richmond, VA, USA

    Rebekah Cheng

  4. College of Medicine - Robert Wood Johnson, Rutgers University, New Brunswick, NJ, USA

    Calvin Wang

  5. Distinguished Engineer, Verizon, San Jose, CA, USA

    Murong Lin

  6. Amazon Web Services, Amazon, Seattle, WA, USA

    Dennis Ong

Authors
  1. Hannah Ong
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  2. Joshua Ong
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  4. Calvin Wang
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  6. Dennis Ong
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Correspondence to Hannah Ong.

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Associate Editor Stefan M. Duma oversaw the review of this article.

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Ong, H., Ong, J., Cheng, R. et al. GPT Technology to Help Address Longstanding Barriers to Care in Free Medical Clinics. Ann Biomed Eng 51, 1906–1909 (2023). https://doi.org/10.1007/s10439-023-03256-4

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  • DOI: https://doi.org/10.1007/s10439-023-03256-4

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