Distinguishing cardiac catheter ablation energy modalities by applying natural language processing to electronic health records.

ABSTRACT: Aim: Catheter ablation is used to treat symptomatic atrial fibrillation (AF) and is performed using either cryoballoon (CB) or radiofrequency (RF) ablation. There is limited real world data of CB and RF in the US as healthcare codes are agnostic of energy modality. An alternative method is to analyze patients' electronic health records (EHRs) using Optum's EHR database. Objective: To determine the feasibility of using patients' EHRs with natural language processing (NLP) to distinguish CB versus RF ablation procedures. Data Source: Optum^® de-identified EHR dataset, Optum^® Cardiac Ablation NLP Table. Methods: This was a retrospective analysis of existing de-identified EHR data. Medical codes were used to create an ablation validation table.

SUBMITTER: Margetta J 

PROVIDER: S-EPMC10945417 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature