Embracing the future of physician-patient communication: GPT-4 in gastroenterology
Open accessAbstract
The integration of artificial intelligence (AI) into healthcare, particularly GPT-4, opens up transformative opportunities for enhancing physician-patient communication, especially in the field of gastroenterology. This advanced language model can automate routine tasks, thereby freeing up physicians' time for complex patient care. Additionally, GPT-4 plays a pivotal role in patient education, simplifying complex medical jargon into understandable language, resulting in an informed patient base more likely to adhere to their care plans. This is crucial for gastroenterology, where patient understanding significantly influences treatment outcomes. Moreover, GPT-4's ability to provide continuous patient care bridges the gap inherent in traditional healthcare models, ensuring regular interaction and a proactive approach to patient care. Nonetheless, as we usher in this transformative era, it is crucial to remember that technology should augment, not replace, the human touch in healthcare. Physicians' empathy, emotional understanding, and judgement are irreplaceable. Furthermore, implementing AI technologies, such as GPT-4, in healthcare settings must be carried out responsibly, abiding by ethical considerations, data privacy standards, and accountability guidelines. This balance allows the exploitation of AI's true potential in healthcare, without compromising ethical standards.
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GPT-4 presents a transformative opportunity to enhance doctor-patient communication, fostering a better understanding of patients' needs, anxieties, and expectations, thereby improving the overall medical experience.
“The advanced capabilities of GPT-4 present a transformative opportunity to enhance doctor-patient communication, fostering a better understanding of patients' needs, anxieties, and expectations, thereby improving the overall medical experience (Nashwan et al. 2023).”
From Large language models in medical and healthcare fields: applications, advances, and challenges (2024) · cites this paper as Nashwan et al. 2023
GPT-4 can facilitate the documentation of patients' medical histories by asking relevant questions, interpreting the responses, and presenting the information to physicians in a structured and concise format.
“GPT-4 can facilitate the documentation of patients' medical histories by asking relevant questions, interpreting the responses, and presenting the information to physicians in a structured and concise format.”
From Large language models in medical and healthcare fields: applications, advances, and challenges (2024) · cites this paper as Nashwan et al. 2023
GPT-4 can translate complex medical terminology and diagnostic results into plain language, making them more accessible to patients.
“Furthermore, GPT-4 can translate complex medical terminology and diagnostic results into plain language, making them more accessible to patients.”
From Large language models in medical and healthcare fields: applications, advances, and challenges (2024) · cites this paper as Nashwan et al. 2023
GPT-4 can provide personalized advice on healthier lifestyles, diets, and medication use.
“It can also provide personalized advice on healthier lifestyles, diets, and medication use.”
From Large language models in medical and healthcare fields: applications, advances, and challenges (2024) · cites this paper as Nashwan et al. 2023
Given that LLMs retain and train on the information provided, the generated text introduces the potential for plagiarism, which can be illegal and threaten the integrity and copyright of the publication.
“Given that LLMs retain and train on the information provided, the generated text introduces the potential for plagiarism, which can be illegal and threaten the integrity and copyright of the publication (Nashwan et al. 2023).”
From Large language models in medical and healthcare fields: applications, advances, and challenges (2024) · cites this paper as Nashwan et al. 2023
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References 34 · Cited by 23
- Authors
- Nashwan, A. J., Abujaber, A. A., & Choudry, H.
- Affiliations
- Hamad Medical Corporation (QA)
- University Hospitals of Leicester NHS Trust (GB)
- Corresponding author
- Nashwan, Abdulqadir J.
- Venue
- Gastroenterology & Endoscopy
- Publisher
- Elsevier BV
- Published
- 2023-07
- Volume
- 1
- Issue
- 3
- Pages
- 132-135
- ISSN
- 2949-7523 (ISSN-L)
- OpenAlex
- W4383909162
- Cited by
- 23
- References
- 34
- Citations by year
- 2026: 2 · 2025: 6 · 2024: 11 · 2023: 4
- FWCI
- 0.93
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Gastroenterology & Endoscopy (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Health Professions › General Health Professions › Patient-Provider Communication in Healthcare
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Keywords
- GPT-4, large language models, physician-patient communication, gastroenterology, patient education, medication adherence, AI ethics, data privacy, automation of routine tasks
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