Application of Generative Artificial Intelligence for Physician and Patient Oncology Letters-AI-OncLetters
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View abstract on PubMed
Summary
This summary is machine-generated.Large language models like ChatGPT can generate accurate physician and patient letters in oncology. While generally safe and understandable, minor improvements in detail and flow are needed for optimal clinical use.
Area Of Science
- Medical Oncology
- Artificial Intelligence in Healthcare
- Clinical Communication
Background
- Large language models (LLMs) show promise in clinical settings, but their efficacy in medical oncology requires formal evaluation.
- Assessing the quality, accuracy, and effectiveness of LLMs for generating clinical documentation is crucial.
Purpose Of The Study
- To evaluate ChatGPT's capability in generating physician and patient letters from clinical case notes in oncology.
- To assess the accuracy, relevance, readability, and safety of AI-generated medical correspondence.
Main Methods
- Oncologists created synthetic oncology case notes for prompt development and letter generation.
- ChatGPT-generated physician and patient letters were evaluated by oncologists and consumers using Likert scales.
- Patient letters were further assessed using the Patient Education Materials Assessment Tool for Print (PEMAT-P) and readability indices.
Main Results
- Physician letters were rated highly accurate, comprehensive, and relevant by 95% of oncologists, with no safety concerns.
- Patient letters achieved a seventh-grade reading level and high understandability scores (PEMAT-P >80%).
- While generally clear, some patient letters had minor omissions and stylistic inconsistencies; 72% of consumers would accept AI-generated letters.
Conclusions
- ChatGPT, with structured prompts, produces high-quality clinical and patient communication letters meeting established standards.
- No clinical safety issues were identified, though enhancements in detail and natural language flow are recommended.
- Further research comparing AI-generated and human-written letters is warranted to optimize utility in practice.
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