Fuzzy Decision-Making Method based Evaluation of Smart Healthcare Management

Abstract

Abstract The smart medical system is becoming a health policy service that employs wearables, online services and mobile devices to connect to the internet continuously and connect patients, technology and healthcare centers, and then cope efficiently and thoughtfully with the demands of medical ecosystems. This article explores some of the issues facing users to speed up using and accepting intelligent medical technology for access to omnipresent healthcare. The article analyses how Fuzzy Decision Making may be integrated to create better health solutions with an intelligent approach. The smart medical care management system enables the patient to use medical services and services in any place and at any time, including emergency preparedness, medication management and monitoring services. An assessment of this method for managing new concepts comparable to direct health services must be examined. Hence, this paper Smart Healthcare Management Evaluation utilizing Fuzzy Decision Making (SHME-FDM) model, has been proposed to evaluate the technological integration performance. The present paper assesses the security of health data privacy in the intelligent medicare system utilizing the Fuzzy Analytical Hierarchy Process- Preference Technique similar to the ideal solution (Fuzzy AHP-TOPSIS). This paper usage the fuzzy neural network for health care prediction. The test analyses the reliability, error rate accuracy of the fuzzy outcomes. The security hazard analysis data demonstrate that the suggested fuzzy model has the highest risk assessment performance in contrast to the current models.