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Reducing duplicate testing: a comparison of two clinical decision support tools.
- Source :
-
American journal of clinical pathology [Am J Clin Pathol] 2015 May; Vol. 143 (5), pp. 623-6. - Publication Year :
- 2015
-
Abstract
- Objectives: Unnecessary duplicate laboratory testing is common and costly. Systems-based means to avert unnecessary testing should be investigated and employed.<br />Methods: We compared the effectiveness and cost savings associated with two clinical decision support tools to stop duplicate testing. The Hard Stop required telephone contact with the laboratory and justification to have the duplicate test performed, whereas the Smart Alert allowed the provider to bypass the alert at the point of order entry without justification.<br />Results: The Hard Stop alert was significantly more effective than the Smart Alert (92.3% vs 42.6%, respectively; P < .0001). The cost savings realized per alert activation was $16.08/alert for the Hard Stop alert vs $3.52/alert for the Smart Alert.<br />Conclusions: Structural and process changes that require laboratory contact and justification for duplicate testing are more effective than interventions that allow providers to bypass alerts without justification at point of computerized physician order entry.<br /> (Copyright© by the American Society for Clinical Pathology.)
- Subjects :
- Clinical Laboratory Services economics
Cost Savings
Humans
Meaningful Use economics
Reminder Systems economics
Unnecessary Procedures economics
Clinical Laboratory Services statistics & numerical data
Decision Support Systems, Clinical economics
Meaningful Use statistics & numerical data
Medical Records Systems, Computerized economics
Unnecessary Procedures statistics & numerical data
Subjects
Details
- Language :
- English
- ISSN :
- 1943-7722
- Volume :
- 143
- Issue :
- 5
- Database :
- MEDLINE
- Journal :
- American journal of clinical pathology
- Publication Type :
- Academic Journal
- Accession number :
- 25873494
- Full Text :
- https://doi.org/10.1309/AJCPJOJ3HKEBD3TU