TY - JOUR
T1 - An algorithm that identifies coronary and heart failure events in the electronic health record
AU - Kottke, Thomas E
AU - Baechler, Courtney Jordan
PY - 2013/2
Y1 - 2013/2
N2 - 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 9 for the initial algorithm was 0.47 (95% confidence interval [CI], 0.41-0.54). Cohen's 9 was 0.61 (95% CI, 0.55-0.68) for the second algorithm. Cohen's 9 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).
AB - 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 9 for the initial algorithm was 0.47 (95% confidence interval [CI], 0.41-0.54). Cohen's 9 was 0.61 (95% CI, 0.55-0.68) for the second algorithm. Cohen's 9 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).
UR - http://www.scopus.com/inward/record.url?scp=84877637279&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84877637279&partnerID=8YFLogxK
U2 - 10.5888/pcd10.120097
DO - 10.5888/pcd10.120097
M3 - Article
C2 - 23449283
AN - SCOPUS:84877637279
SN - 1545-1151
VL - 10
JO - Preventing Chronic Disease
JF - Preventing Chronic Disease
IS - 2
M1 - 120097
ER -