Evaluating a large language model for identifying key comorbidities in discharge summaries of patients with obesity: a comparative validation study against ICD codes using MIMIC-IV.
Jul 2026· International Journal of Obesity· 0 citations· 20 references
Medicine
TL;DR
The LLM showed promising concordance with ICD codes for T2DM, HTN, OSA, and HLD in obesity patient discharge summaries, including against ICD-9/10 coding and against manual review.
Objective: The goal was to integrate structured and unstructured data from the electronic health record (EHR) to identify social and behavioral determinants of health (SBDH) factors and evaluate their association with high emergency department (ED) utilization among cardiovascular disease (CVD) patients. Methods: A cus...
T. Metzger, S. Morrell, S. Roy et al.· medRxiv· 0 citations
Background The evolving obesity treatment landscape requires examining clinical and economic outcomes, but ICD-10-CM coding inconsistencies hinder patient identification in claims databases. Objectives This study aims to validate obesity diagnosis codes and identify factors influencing their utilization. Methods This r...
Effie L. Kuti, Emma L. Richard, K. Schott et al.· Journal of health economics...· 0 citations
Objective To compare the diagnostic accuracy of four available automated electronic medical record (EMR) retrieval methods, including a large language model (LLM)-assisted workflow, against manual chart adjudication for identifying cardiovascular events. Design Retrospective diagnostic accuracy study. Setting Three sit...
Omar H. Ibrahim, J. Farina, Milagros Pereyra Pietri et al.· BMJ Open· 0 citations
Abstract Objectives Comorbidity algorithms derived from International Classification of Diseases (ICD) codes are central to risk adjustment and cohort characterization, but existing software inconsistently handles mixed ICD-9/10 data and typically operates at the encounter level. We developed medicalcoder to address th...
Peter E. Dewitt, Seth Russell, James A. Feinstein et al.· JAMIA Open· 0 citations
Background Accurate identification of asthma exacerbations in electronic health records (EHRs) is essential for research and clinical decision-making. While composite definitions incorporating healthcare encounters and systemic corticosteroid use are commonly used, ICD-10 code-only definitions are often applied when de...
Chun-Tse Hung, Cheng An, Chi-Won Suk· Clinical Epidemiology· 0 citations
Objective: Clinical remission (CR) is an ambitious and attainable treatment goal for patients with asthma. This retrospective, observational study determined the feasibility of assessing CR using an electronic medical record (EMR) database. Methods: Data from the JAMDAS database were analyzed for patients with asthma i...
H. Nagase, T. Sakagami, Masashi Takano et al.· Journal of Asthma· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
