Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/74142, first published .
Evaluating the Reasoning Capabilities of Large Language Models for Medical Coding and Hospital Readmission Risk Stratification: Zero-Shot Prompting Approach

Evaluating the Reasoning Capabilities of Large Language Models for Medical Coding and Hospital Readmission Risk Stratification: Zero-Shot Prompting Approach

Evaluating the Reasoning Capabilities of Large Language Models for Medical Coding and Hospital Readmission Risk Stratification: Zero-Shot Prompting Approach

Parvati Naliyatthaliyazchayil   1 , PharmD, MS ;   Raajitha Muthyala   1 , BPharm ;   Judy Wawira Gichoya   2 , MS, MD ;   Saptarshi Purkayastha   1 , PhD

1 Department of Biomedical Engineering and Informatics, Luddy School of Informatics, Computing and Engineering, Indiana University Indianapolis, Indianapolis, IN, United States

2 Department of Radiology and Imaging Sciences, Emory University School of Medicine, Emory University, Atlanta, GA, United States

Corresponding Author:

  • Saptarshi Purkayastha, PhD
  • Department of Biomedical Engineering and Informatics, Luddy School of Informatics, Computing and Engineering
  • Indiana University Indianapolis
  • 535 W Michigan Street
  • Indianapolis, IN 46202
  • United States
  • Phone: 1 317 274 0439
  • Email: saptpurk@iu.edu