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:: Volume 7, Issue 4 (3-2021) ::
2021, 7(4): 466-473 Back to browse issues page
Clinical Decision Support System: An Effective Tool to Detect and Manage Drug-Laboratory Interactions
Mahsa Freidooni , Habibollah Pirnejad , Zahra Niazkhani
Ph.D. in Medical Informatics, Associate Professor, Nephrology and Kidney Transplant Research Center, Clinical Research Institute, Urmia University of Medical Sciences, Urmia, Iran
Abstract:   (335 Views)
Lack of proper linkage between a patient’s medications and the results of laboratory tests can lead to common medication errors called drug-laboratory interactions (DLIs). DLIs are among the major types of preventable medication errors in the treatment process. Application of a clinical decision support system (CDSS) for physicians and other health care providers to decrease DLIs can effectively improve the treatment process and care quality helping to prevent potential adverse drug events. Design and implementation of these systems requires measurements to tackle a number of challenges. The present article briefly reviews these challenges and provides solutions to increase their effectiveness. With informed design and implementation of DLI-CDSSs, it is hoped that these interactions will be decreased and the quality of prescriptions will be improved with regard to patients’ laboratory test results.
Keywords: Clinical Decision Support System (CDSS), Drug-Laboratory Interaction (DLI), Challenges, Advantages, Review Study
Full-Text [PDF 946 kb]   (92 Downloads)    
Type of Study: Narrative review articles | Subject: Clinical Decision Support Systems
Received: 2020/02/14 | Accepted: 2020/06/6
Audio File [M4A 4079 KB]  (26 Download)
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Freidooni M, Pirnejad H, Niazkhani Z. Clinical Decision Support System: An Effective Tool to Detect and Manage Drug-Laboratory Interactions. Journal of Health and Biomedical Informatics. 2021; 7 (4) :466-473
URL: http://jhbmi.ir/article-1-481-en.html

Volume 7, Issue 4 (3-2021) Back to browse issues page
مجله انفورماتیک سلامت و زیست پزشکی Journal of Health and Biomedical Informatics
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