Diagnostic Analysis of Patients Qualified for Hip Replacement Using Multi-Criteria Methods: Clinical Decision Support System

Abstract

Patients with advanced hip osteoarthritis are likely to suffer from biomechanical disorders. As many criteria inform how such patients are being qualified for alloplasty procedures, this article proposes a multi-criteria decisional framework in qualifying patients for treatment while undergoing diagnostic analysis for hip replacement surgery. In order to assess the patient's health condition, the competence of physicians and physiotherapists must first be checked. After creating the expert preference model and decision tree, the AHP method was applied followed by the Electre Tri method in the next stage of verification. Integrating these analytic procedures, a group of patients can be quickly evaluated and meaningfully profiled. Specifically, these patients can be classified in respect of their condition determined during hospitalisation as per the severity of degenerative disease and on the basis of their subjective feelings and diagnostics. The proposed methodology promises to allow optimal treatment to be assigned while enabling the appropriate classification and verification within group of patients targeted for hip replacement surgery.