Smart Contract-Driven Access Control Mechanism for Diabetic Health Records in Decentralized EHR Systems
Mr. Chayan Bhattacharjee1, Ms. Sayali Parab2
1Department of Information Technology, Chikitsak Samuha’s Patkar Varde College, Mumbai, India
2Department of Information Technology, SES’s L. S. Raheja College of Arts & Commerce, Mumbai, India
Abstract - Blockchain has evolved in numerous domains such as Government, Banks, Industries, online voting, Logistics and Healthcare, etc. The advent of Blockchain technology has become a bench of remarkable and growing development in recent decades. One of the most trending and evolving domains is healthcare which consists of EHRs (Electronic Health Records). Diabetes is a chronic disease and growing rapidly and problems arise when it is not treated at an early stage and diagnosed properly at an appropriate time. Hence leads to major health issues and leads to death and the ratio of death globally varies from person to person. Diabetes diseases can be controlled if it is predicted earlier. This Research paper proposes in Securing Healthcare Data for detection of Diabetes provides an earlier detection of this disease by using various Machine learning classification and algorithms and maintains the EHRs of the patient in a secure and timely manner. The diabetic patient has different parameters such as pregnancies, skin thickness, insulin level, blood, age, glucose, Diabetes prediction function, pressure to calculate the chance of likely getting diabetes or not. The Patient dataset is fed to the ML model to find the higher accuracy giving the prediction result. Our EHRs sharing the framework technology combines symptoms-based disease predictions with the help of Blockchain and Interplanetary File System (IPFS) in which the data of the patients' health information are collected suffering from these diseases. We have designed an Extensible Application and predict the diabetes diseases as per the symptoms learned by Machine Learning Algorithm. The ML Model collects the Input data and then executes for further processing to analyze. The prediction results are recorded along biomedical parameters in Blockchain to ensure the integrity and backtracking and anti-repudiation. The information summary of a patient's concerns with his/her guardians is then recorded in Blockchain. Our proposed system will help the society in order to store, process, and share the patient's health information securely and keep transparency in a specific manner. The overview of biomedical treatments can change the technological terms and treatment to achieve better future building for new Innovation.
Keywords: Blockchain Technology, Smart Contracts, Electronic Health Records (EHRs), Diabetes Prediction
