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.

Open access Sep 2026

Integrating structured and unstructured EHR data to characterize social and behavioral factors associated with frequent emergency department use among patients with cardiovascular disease

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

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Aug 2026

Journal of Health Economics and Outcomes Research

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

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Open access Aug 2026

Diagnostic accuracy of electronic medical record retrieval methods and a large language model for identifying cardiovascular events: a multisite retrospective validation study in a medical system in the United States

In this multisite retrospective validation study, the LLM-assisted workflow showed strong but context-dependent performance for identifying cardiovascular events from the EMR, and ICD-based retrieval remained competitive for some use cases.

Omar H. Ibrahim, J. Farina, Milagros Pereyra Pietri et al. · BMJ Open · 0 citations

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Open access Sep 2026

medicalcoder: a unified and longitudinally aware framework for International Classification of Diseases code-based comorbidity assessment in R

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

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Open access Sep 2026

Agreement Between ICD-10 Code–Only and Composite Definitions of Asthma Exacerbations in Electronic Health Records: A Multicenter Cohort Study in Taiwan, 2017-2023

ICD-10 code–only definition demonstrated high overall agreement with the composite definition, driven primarily by agreement on non-events, but limited agreement for identified exacerbations, suggesting that the two definitions may capture different levels of exacerbations.

Chun-Tse Hung, Cheng An, Chi-Won Suk · Clinical Epidemiology · 0 citations

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Open access Sep 2026

Is It Feasible to Assess Clinical Remission in Asthma via a Customized Data Extraction Approach from a Real-World Clinical Electronic Medical Records Database in Japan? A Retrospective Real-World Study.

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

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