Examining clinical decision support integrity: is clinician self-reported data entry accurate?. (25th July 2013)

• Record Type: Journal Article
• Authors: Gupta, Anurag; Raja, Ali S; Khorasani, Ramin
• Is Part Of: Journal of the American Medical Informatics Association. Volume 21:Number 1(2014:Jan.)
• Page Start: 23
• Page End: 26
• Publication Date: 2013-07-25
• Subjects: Decision Support Systems, Clinical -- Computerized Physician Order Entry System -- Radiology -- Electronic Health Records -- Evidence-Based Practice; Medical informatics -- Periodicals; Information Services -- Periodicals; Medical Informatics -- Periodicals; Médecine -- Informatique -- Périodiques; Informatica; Geneeskunde; Informatique médicale; Computer network resources; Electronic journals; 610.285
• DOI: 10.1136/amiajnl-2013-001617
• Languages: English
• ISSNs: 1067-5027

Abstract

Abstract: The aim of this study was to assess the accuracy of clinician-entered data in imaging clinical decision support (CDS). We used CDS-guided CT angiography (CTA) for pulmonary embolus (PE) in the emergency department as a case example because it required clinician entry of d -dimer results which could be unambiguously compared with actual laboratory values. Of 1296 patients with CTA orders for suspected PE during 2011, 1175 (90.7%) had accurate d -dimer values entered. In 55 orders (4.2%), incorrectly entered data shielded clinicians from intrusive computer alerts, resulting in potential CTA overuse. Remaining data entry errors did not affect user workflow. We found no missed PEs in our cohort. The majority of data entered by clinicians into imaging CDS are accurate. A small proportion may be intentionally erroneous to avoid intrusive computer alerts. Quality improvement methods, including academic detailing and improved integration between electronic medical record and CDS to minimize redundant data entry, may be necessary to optimize adoption of evidence presented through CDS.