Prioritization of the factors affecting the performance of clinical laboratories using the AHP and ANP techniques

In this study, two different multi-criteria decision-making methods, analytic hierarchy process (AHP) and the analytic network process (ANP), were used to prior itize and weight CL performance indicators and investigate their relations. These methods offer health-care systems a straightforward way to analyse the status of CL. According to the results, “Quality” achieved the top priority, followed by “Cost.” In addition, “Resource Management” and “Time” were stated as the third and fourth priorities, respectively. Moreover, the study analysed the global ranking of each sub-criterion. While “Errors During Testing Process”, “Quality Control Mistakes” and “Accidents” were determined as the vital factors in the AHP method, “La te Delivered Tests”, “Quality Control Mistakes,” and “Accidents” took the first three places with respect to the ANP method. The slight difference in the order of the sub-criteria can be explained by the network structure of the ANP method, which also considers the interdependence between the factors. Although the prioritization of the criterion can be performed with both methods, it can be asserted that the ANP method is more complementary since it considers the influences among the criteria.
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - Category: Bioinformatics Source Type: research