Towards Meaningful Medication-Related Clinical Decision Support: Recommendations for an Initial Implementation
Year: 2011
Type: article
Abstract: SUMMARY: Clinical decision support (CDS) can improve safety, quality, and cost-effectiveness of patient care, especially when implemented in computerized provider order entry (CPOE) applications. Medication-related decision support logic forms a large component of the CDS logic in any CPOE system. However, organizations wishing to implement CDS must either purchase the computable clinical content or develop it themselves. Content provided by vendors does not always meet local expectations. Most organizations lack the resources to customize the clinical content and the expertise to implement it effectively. In this paper, we describe the recommendations of a national expert panel on two basic medication-related CDS areas, specifically, drug-drug interaction (DDI) checking and duplicate therapy checking. The goals of this study were to define a starter set of medication-related alerts that healthcare organizations can implement in their clinical information systems. We also draw on the experiences of diverse institutions to highlight the realities of implementing medication decision support. These findings represent the experiences of institutions with a long history in the domain of medication decision support, and the hope is that this guidance may improve the feasibility and efficiency CDS adoption across healthcare settings.
Source: Applied Clinical Informatics
Institutions: Brigham and Women's Hospital, Harvard University, NewYork–Presbyterian Hospital, Institute for Safe Medication Practices, Northwestern University, Northwestern Memorial Hospital, National Institutes of Health, Georgetown University, United States National Library of Medicine, University of Washington, Beth Israel Deaconess Medical Center, American Medical Informatics Association
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W2032847407
