Article Document Academic Article Information Content Entity Continuant Continuant Journal Article Entity Entity Generically Dependent Continuant 2025-05-07T14:56:29 RDF description of An algorithm that identifies coronary and heart failure events in the electronic health record - http://repository.healthpartners.com/individual/document-rn18097 Cardiovascular Diseases 2022-02-21T22:48:57.408-06:00 document-rn18097 10.5888/pcd10.120097 22474 Medical Records Systems, Computerized 13947 <p>INTRODUCTION: The advent of universal health care coverage in the United States and the use of electronic health records can make the medical record a disease surveillance tool. The objective of our study was to identify criteria that accurately categorize acute coronary and heart failure events by using electronic health record data exclusively so that the medical record can be used for surveillance without manual record review. METHODS: We serially compared 3 computer algorithms to manual record review. The first 2 algorithms relied on ICD-9-CM (International Classification of Diseases, 9th Revision, Clinical Modification) codes, troponin levels, electrocardiogram (ECG) data, and echocardiograph data. The third algorithm relied on a detailed coding system, Intelligent Medical Objects, Inc., (IMO) interface terminology, troponin levels, and echocardiograph data. RESULTS: Cohen's kappa for the initial algorithm was 0.47 (95% confidence interval [CI], 0.41-0.54). Cohen's kappa was 0.61 (95% CI, 0.55-0.68) for the second algorithm. Cohen's kappa for the third algorithm was 0.99 (95% CI, 0.98-1.00). CONCLUSION: Electronic medical record data are sufficient to categorize coronary heart disease and heart failure events without manual record review. However, only moderate agreement with medical record review can be achieved when the classification is based on 4-digit ICD-9-CM codes because ICD-9-CM 410.9 includes myocardial infarction with elevation of the ST segment on ECG (STEMI) and myocardial infarction without elevation of the ST segment on ECG (nSTEMI). Nearly perfect agreement can be achieved using IMO interface terminology, a more detailed coding system that tracks to ICD9, ICD10 (International Classification of Diseases, Tenth Revision, Clinical Modification), and SnoMED-CT (Systematized Nomenclature of Medicine - Clinical Terms).<p> Preventing Chronic Disease Heart Diseases public Comparative Studies 10 An algorithm that identifies coronary and heart failure events in the electronic health record Surveillance