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arXiv Open Access 2024

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

Satvik Tripathi Liam Mutter Meghana Muppuri Suhani Dheer Emiliano Garza-Frias +6 lainnya
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Abstrak

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.

Topik & Kata Kunci

cs.CL cs.AI cs.HC cs.LG

Penulis (11)

S

Satvik Tripathi

L

Liam Mutter

M

Meghana Muppuri

S

Suhani Dheer

E

Emiliano Garza-Frias

K

Komal Awan

A

Aakash Jha

M

Michael Dezube

A

Azadeh Tabari

C

Christopher P. Bridge

D

Dania Daye

Format Sitasi

APA MLA BibTeX
Tripathi, S., Mutter, L., Muppuri, M., Dheer, S., Garza-Frias, E., Awan, K. et al. (2024). PRECISE Framework: GPT-based Text For Improved Readability, Reliability, and Understandability of Radiology Reports For Patient-Centered Care. https://arxiv.org/abs/2403.00788

Akses Cepat

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Informasi Jurnal
Tahun Terbit
2024
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓