ENHANCING PREDICTIVE REHABILITATION MANAGEMENT SYSTEM WITH HOMOMORPHIC ENCRYPTION SCHEME

Abstract

The Predictive Rehabilitation Management System (Predictive RMS) has been developed in 2017. The aim of the Predictive RMS is to manage operation based on different access control level in order to aid in better decision making of a clinic or hospital provided with the descriptive and predictive information delivered. However, there are some limitations of the developed Predictive RMS causing the delay of implementation in Sabah hospitals and clinics recently. These limitations include: (i) data protection is limited to data storage and focuses on integrity; (ii) the data collection form is fixed for certain disease only and cannot adapt for future changes; (iii) predictive analytics and report visualization module lack of patient’s privacy control. To address these limitations, this project aims to enhance the existing Predictive RMS with Homomorphic Encryption (HE) scheme. HE scheme is a special kind of encryption scheme, where it allows any third party to operate on the encrypted data without decrypting it in advance.