Evidence-Based Clinical Decision Support to Improve Care for Patients Hospitalized With Acute Myocardial Infarction.

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Author Affiliations: Cardiac Intensive Care Unit (Dr Fry) and Heart Operations, Nursing & Patient Care Services (Dr Engel), Duke University Health System; Duke University School of Nursing (Dr Granger); Duke Heart Nursing Research, Duke University Health System (Dr Granger); Duke University School of Medicine (Dr Komada); Cardiac Cath and Electrophysiology Lab (Dr Komada); Duke Regional Hospital (Drs Komada and Lovins); and Duke University School of Medicine (Dr Lovins), Durham, NC.

Published: May 2023

Clinical decision support in the EHR is an innovation that can support guideline adherence in acute myocardial infarction. Cardiac rehabilitation referral and left ventricular systolic function assessment are part of evidence-based clinical practice guidelines associated with reduced morbidity and mortality following acute myocardial infarction. Effective clinical decision support is sustained by evidence-based principles for design and implementation. This quality improvement project evaluated the impact of practice advisories designed using principles of effective clinical decision support design to improve performance of left ventricular systolic function assessment and ambulatory referral to cardiac rehabilitation for patients hospitalized with acute myocardial infarction. Performance in cardiac rehabilitation referral and left ventricular systolic function assessment was measured for a 3-month interval pre- and post-intervention. Pre-implementation, cardiac rehabilitation referral or valid documented reason for non-referral was 80.3%. Rehabilitation referral or documented valid reason for non-referral increased to 98.4% post-implementation ( P < .001). Left ventricular systolic function assessment increased from 94.2% to 100% following clinical decision support implementation ( P = .120). This quality improvement project supports the positive impact of effective clinical decision support design and implementation to improve outcomes for patients hospitalized with acute myocardial infarction.

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Source
http://dx.doi.org/10.1097/CIN.0000000000000959DOI Listing

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