This paper is in the following e-collection/theme issue:

Generative Language Models Including ChatGPT (738) Decision Support for Health Professionals (1563) Methods and Instruments in Medical Informatics (197) Ontologies, Classifications, and Coding (332) Artificial Intelligence (2185) Chatbots and Conversational Agents (754) Clinical Informatics (1348) Clinical Information and Decision Making (1953) New Methods (1145)

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

Authors of this article:

Parvati Naliyatthaliyazchayil1 Author Orcid Image ;   Raajitha Muthyala1 Author Orcid Image ;   Judy Wawira Gichoya2 Author Orcid Image ;   Saptarshi Purkayastha1 Author Orcid Image
Article Authors Cited by (5) Tweetations (2) Metrics

Journals

  1. Wu X, Huang Y, He Q. Diagnostic performance of newly developed large language models in critical illness cases: A comparative study. International Journal of Medical Informatics 2025;204:106088 View
  2. He Z, Li H, Tian S, Wen J, Yuan G, Li A. A Comparative Study of Structured and Narrative EHR Data for 30-Day Readmission Risk Assessment. Electronics 2025;14(20):4033 View
  3. Duan Z, Huang X, Lu R, Xu W, Liu H, Geng Y, Takahashi N, Wu Y, Wang Q, Song Y, Xu H, Tang H, Lan F, Eils R, Tan L. Multi-center benchmarking of large language models for clinical decision support in lung cancer screening. Cell Reports Medicine 2025;6(12):102465 View
  4. Yap W, Cheng S, Lin C, Hsiao I, Tsai T, Yap W, Chen W, Lin C, Huang S. An External Validation Study on Two Pre-Trained Large Language Models for Multimodal Prognostication in Laryngeal and Hypopharyngeal Cancer: Integrating Clinical, Treatment, and Radiomic Data to Predict Survival Outcomes with Interpretable Reasoning. Bioengineering 2025;12(12):1345 View

Conference Proceedings

  1. Naliyatthaliyazchayil P, Sangam V, Muthyala R, Purkayastha S. 2025 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI). Mapping Extracted Free-Text Primary Diagnoses to ICD-10 and SNOMED-CT Using SciSpacy - A Performance Evaluation View