Collaborative AI in Smart Healthcare System

Abstract

As technology advances, growing organizations aim to bring revolutionary changes to all aspects of industries. The healthcare industry is experiencing a twofold burden of illnesses, low benefit scope, and a deficiency of basic budgetary risk security mechanism. To maintain patient health records, many healthcare organizations still depend on local centralized database systems. The main problem is when patients’ confidential data has been stored in hospital’s database, its integrity and privacy is the main concern. In some cases, patient’s upgraded records are not stored within the database on time. Also patients are not happy to disclose their medical records for some privacy issues. Therefore, the re-diagnosis process is time-consuming and complicated which leads to high healthcare costs. To illuminate this issue, we propose a collaborative smart healthcare system with decentralized information capacity mechanism, guaranteeing the protection and interoperability of patient’s medical records by collaborative use. In the proposed system, hospitals share patient’s data in a decentralized database maintaining data privacy using differential privacy mechanism. The experimental result analysis and data accuracy using AI model show the practicality of the proposed system.