Work

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

Year: 2024

Type: preprint

Abstract: This study introduces and evaluates the PRECISE framework, utilizing OpenAI's GPT-4 to enhance patient engagement by providing clearer and more accessible chest X-ray reports at a sixth-grade reading level. The framework was tested on 500 reports, demonstrating significant improvements in readability, reliability, and understandability. Statistical analyses confirmed the effectiveness of the PRECISE approach, highlighting its potential to foster patient-centric care delivery in healthcare decision-making.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2403.00788

Authors: Tripathi, Satvik, Mutter, Liam, Muppuri, Meghana, Dheer, Suhani, Garza-Frias, Emiliano, Awan, Komal, Jha, Aakash, Dezube, Michael, Tabari, Azadeh, Bridge, Christopher P., Daye, Dania

Institutions: Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Harvard University

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W4392489988

Cites:

Cited by: 1

Related to: 10