For the record, it’s one study and details in the news release about how it was constructed and how results were analyzed are scant (more about that later in this post). Nonetheless, an April 28, 2023 news item on ScienceDaily offers an intriguing ChaptGPT possibility,
There has been widespread speculation about how advances in artificial intelligence (AI) assistants like ChatGPT could be used in medicine.
A new study published in JAMA Internal Medicine [JAMA is Journal of the American Medical Association] led by Dr. John W. Ayers from the Qualcomm Institute within the University of California San Diego provides an early glimpse into the role that AI assistants could play in medicine. The study compared written responses from physicians and those from ChatGPT to real-world health questions. A panel of licensed healthcare professionals preferred ChatGPT’s responses 79% of the time and rated ChatGPT’s responses as higher quality and more empathetic.
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An April 28, 2023 University of California at San Diego (UCSD) news release (also on EurekAlert), which originated the news item, gives a little more information about the study, Note: Links have been removed,
“The opportunities for improving healthcare with AI are massive,” said Ayers, who is also vice chief of innovation in the UC San Diego School of Medicine Division of Infectious Disease and Global Public Health. “AI-augmented care is the future of medicine.”
Is ChatGPT Ready for Healthcare?
In the new study, the research team set out to answer the question: Can ChatGPT respond accurately to questions patients send to their doctors? If yes, AI models could be integrated into health systems to improve physician responses to questions sent by patients and ease the ever-increasing burden on physicians.
“ChatGPT might be able to pass a medical licensing exam,” said study co-author Dr. Davey Smith, a physician-scientist, co-director of the UC San Diego Altman Clinical and Translational Research Institute and professor at the UC San Diego School of Medicine, “but directly answering patient questions accurately and empathetically is a different ballgame.”
“The COVID-19 pandemic accelerated virtual healthcare adoption,” added study co-author Dr. Eric Leas, a Qualcomm Institute affiliate and assistant professor in the UC San Diego Herbert Wertheim School of Public Health and Human Longevity Science. “While this made accessing care easier for patients, physicians are burdened by a barrage of electronic patient messages seeking medical advice that have contributed to record-breaking levels of physician burnout.”
Designing a Study to Test ChatGPT in a Healthcare Setting
To obtain a large and diverse sample of healthcare questions and physician answers that did not contain identifiable personal information, the team turned to social media where millions of patients publicly post medical questions to which doctors respond: Reddit’s AskDocs.
r/AskDocs is a subreddit with approximately 452,000 members who post medical questions and verified healthcare professionals submit answers. While anyone can respond to a question, moderators verify healthcare professionals’ credentials and responses display the respondent’s level of credentials. The result is a large and diverse set of patient medical questions and accompanying answers from licensed medical professionals.
While some may wonder if question-answer exchanges on social media are a fair test, team members noted that the exchanges were reflective of their clinical experience.
The team randomly sampled 195 exchanges from AskDocs where a verified physician responded to a public question. The team provided the original question to ChatGPT and asked it to author a response. A panel of three licensed healthcare professionals assessed each question and the corresponding responses and were blinded to whether the response originated from a physician or ChatGPT. They compared responses based on information quality and empathy, noting which one they preferred.
The panel of healthcare professional evaluators preferred ChatGPT responses to physician responses 79% of the time.
“ChatGPT messages responded with nuanced and accurate information that often addressed more aspects of the patient’s questions than physician responses,” said Jessica Kelley, a nurse practitioner with San Diego firm Human Longevity and study co-author.
Additionally, ChatGPT responses were rated significantly higher in quality than physician responses: good or very good quality responses were 3.6 times higher for ChatGPT than physicians (physicians 22.1% versus ChatGPT 78.5%). The responses were also more empathic: empathetic or very empathetic responses were 9.8 times higher for ChatGPT than for physicians (physicians 4.6% versus ChatGPT 45.1%).
“I never imagined saying this,” added Dr. Aaron Goodman, an associate clinical professor at UC San Diego School of Medicine and study coauthor, “but ChatGPT is a prescription I’d like to give to my inbox. The tool will transform the way I support my patients.”
Harnessing AI Assistants for Patient Messages
“While our study pitted ChatGPT against physicians, the ultimate solution isn’t throwing your doctor out altogether,” said Dr. Adam Poliak, an assistant professor of Computer Science at Bryn Mawr College and study co-author. “Instead, a physician harnessing ChatGPT is the answer for better and empathetic care.”
“Our study is among the first to show how AI assistants can potentially solve real world healthcare delivery problems,” said Dr. Christopher Longhurst, Chief Medical Officer and Chief Digital Officer at UC San Diego Health. “These results suggest that tools like ChatGPT can efficiently draft high quality, personalized medical advice for review by clinicians, and we are beginning that process at UCSD Health.”
Dr. Mike Hogarth, a physician-bioinformatician, co-director of the Altman Clinical and Translational Research Institute at UC San Diego, professor in the UC San Diego School of Medicine and study co-author, added, “It is important that integrating AI assistants into healthcare messaging be done in the context of a randomized controlled trial to judge how the use of AI assistants impact outcomes for both physicians and patients.”
In addition to improving workflow, investments into AI assistant messaging could impact patient health and physician performance.
Dr. Mark Dredze, the John C Malone Associate Professor of Computer Science at Johns Hopkins and study co-author, noted: “We could use these technologies to train doctors in patient-centered communication, eliminate health disparities suffered by minority populations who often seek healthcare via messaging, build new medical safety systems, and assist doctors by delivering higher quality and more efficient care.”
In addition to Ayers, Poliak, Dredze, Leas, Kelley, Goodman, Longhurst, Hogarth and Smith, authors of the JAMA Internal Medicine paper, “Comparing Physician and Artificial Intelligence Chatbot Responses to Patient Questions Posted to a Public Social Media Forum” (JAMA Intern Med. doi:10.1001/jamainternmed.2023.1838), are Zechariah Zhu of UC San Diego and Dr. Dennis J. Faix of the Naval Health Research Center.
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COI Statement Disclosures as reported in the paper: Dr Ayers reported owning equity in companies focused on data analytics, Good Analytics, of which he was CEO until June 2018, and Health Watcher. Dr Dredze reported personal fees from Bloomberg LP and Sickweather outside the submitted work and owning an equity position in Good Analytics. Dr Leas reported personal fees from Good Analytics during the conduct of the study. Dr Goodman reported personal fees from Seattle Genetics outside the submitted work. Dr Hogarth reported being an advisor for LifeLink, a health care chatbot company. Dr Longhurst reported being an advisor and equity holder at Doximity. Dr Smith reported stock options from Linear Therapies, personal fees from Arena Pharmaceuticals, Model Medicines, Pharma Holdings, Bayer Pharmaceuticals, Evidera, Signant Health, Fluxergy, Lucira, and Kiadis outside the submitted work. No other disclosures were reported.
Here’s a link to and a citation for the paper,
Comparing Physician and Artificial Intelligence Chatbot Responses to Patient Questions Posted to a Public Social Media Forum by John W. Ayers, Adam Poliak, Mark Dredze, Eric C. Leas, Zechariah Zhu, Jessica B. Kelley, Dennis J. Faix, Aaron M. Goodman, Christopher A. Longhurst, Michael Hogarth, Davey M. Smith. JAMA Intern Med. 2023;183(6):589-596. doi:10.1001/jamainternmed.2023.1838 Published: April 28, 2023
This paper is behind a paywall.
More info. please
it’s very easy to take research at face value. I do it too so I’m forcing myself to read this news release with a critical eye. here are a few questions I have,
- How did this ChatGPT learn to be empathetic? And, how did the researchers measure empathy?
- What did they mean by ‘quality’ of response? How did they measure it?
- The respondents’ age range would have been interesting and useful to know as age can affect the types of questions being asked.
- How did they randomize the physicians taking part in the study? i.e., Does a certain kind of (or age) physician go to the website AskDocs to answer questions?
Sadly I can’t get behind the paywall to see if that information is available in the study but this has been a good reminder (to me and, hopefully, you found it useful, too) to keep asking questions.