Using ChatGPT to write patient clinic letters.

By Stephen R. Ali, T. Dobbs, H. Hutchings, I. Whitaker. The Lancet Digital Health, 2023

320 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Health, Health Informatics

View Paper: https://www.semanticscholar.org/paper/e9cee216f65e0d82a4f329349c3eb5efe0ddbfb3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

In Health

Malik Sallam

In Health Informatics

Citations in the corpus

Large language models in healthcare and medical domain: A review (2023, background): “Through the provision of personalised recommendations [65], cus-tomised treatment strategies, and continual monitoring of patients’ advancements throughout their medical journeys [66], LLMs offer the promise of revolutionizing healthcare delivery.”
Large Language Models in Medical Education: Opportunities, Challenges, and Future Directions (2023, background): “LLMs have become valuable tools in medical writing, offering a range of benefits to medical students and medical researchers [37,39-43].”
Utility of ChatGPT in Clinical Practice (2023, unknown): “Using skin cancer as an example, Ali et al [14] evaluated the readability, factual accuracy, and humanization of clinical letters to patients generated by ChatGPT.”
The ethics of ChatGPT - Exploring the ethical issues of an emerging technology (2024, background): “…we assume that it can be integrated into other modalities of communication which would, for example, enable it to engage in voice communication (Ali et al., 2023); • Ability to learn from interaction leading to allow it to further improve the content quality and acceptability (Sallam, 2023); •…”
ChatGPT Utility in Healthcare Education, Research, and Practice: Systematic Review on the Promising Perspectives and Valid Concerns (2023, background): “Additionally, the generation of inaccurate content can have severe negative consequences in health care; therefore, this valid concern should be cautiously considered in health care practice [30,32,53,84].”
A study of generative large language model for medical research and healthcare (2023, unknown): “Generative large language models (LLMs) such as the ChatGPT 1 have surprised the world by answering questions conversationally and generating textual content such as emails, articles, and even computer codes, triggering enormous enthusiasm in applying LLMs to healthcare 2 – 4 .”
ChatGPT in Healthcare: A Taxonomy and Systematic Review (2023, methodology): “In [4], ChatGPT is used to write patient clinic letters in 38 hypothetical clinical scenarios (e.g., basal cell carcinoma, malignant melanoma, etc.), where ChatGPT communicates the diagnosis results and treatment advice to the patients in a friendly and easily-understandable manner.”
A framework to assess clinical safety and hallucination rates of LLMs for medical text summarisation (2025, unknown): “In fact, the use of LLMs for clinical documentation, especially clinical note generation 4 or consultation summarisation 5,6 , is an active area of research.”