PRECISE Framework: GPT-based Text For Improved Readability, Reliability, and Understandability of Radiology Reports For Patient-Centered Care

Objective: This study introduces and evaluates the PRECISE (Patient-Focused Radiology Reports with Enhanced Clarity and Informative Summaries for Effective Communication) framework, powered by OpenAI's GPT-4, aimed at enhancing patient understanding and engagement by providing clearer and more accessible radiology reports at the sixth-grade level. Design: The PRECISE framework was assessed using 500 chest X-ray reports, employing standardized metrics such as Flesch Reading Ease, Gunning Fog Index, and Automated Readability Index to evaluate readability. Clinical volunteer assessments gauged reliability, while non-medical volunteers assessed understandability. Setting: The study focused on chest X-ray reports, utilizing a diverse dataset and multiple graders to ensure comprehensive evaluation and generalizability. Participants: The data utilized comprised 500 chest X-ray reports, ensuring a robust representation of medical findings.