A Novel Patient-Centric Architectural Framework for Blockchain-Enabled Healthcare Applications
Akhilendra Pratap Singha, Nihar Ranjan Pradhana, Ashish Kr. Luhachb, Sivansu Agnihotria, Noor Zaman Jhanjhic d, Sahil Vermae, Kavita Kavitae, Uttam Ghoshf, Diptendu Sinha Roya
- aDepartment of Computer Science and Engineering, National Institute of Technology Meghalaya, Shillong, India
- bDepartment of Electrical and Communication Engineering, PNG University of Technology, Lae, Papua New Guinea
- cSchool of Computer Science and Engineering SCE, Taylor's University, Malaysia
- dSchool of Computer Science and Engineering SCE, Taylor's University, Malaysia
- eDepartment of Computer Science and Engineering, Chandigarh University, Mohali, India
- fLovely Professional University Faculty of Technology and Sciences, Phagwara, India
Papers open inside SciRah from the original publisher or repository; SciRah never hosts them.
Abstract
With the proliferation of information and communication technology in every walks of the society, including healthcare services, digitization, and increased sophistication have been gaining pace, digital healthcare alternatives such as electronic healthcare record (EHR) have gained prominence with increased patients' data volume. However, traditional EHR-based systems are plagued by data loss risks, security and immutability consensus over health records, gapped communication among constituted hospitals, and inefficient clinical data retrieval systems, among others. Blockchain has been developed as a decentralized technology that holds the promise to address the aforesaid facilities in EHR-based systems. This article presents a patient-centric design of a decentralized healthcare management system with blockchain-based EHR using javascript-based smart contracts. A working prototype based on hyperledger fabric and composer technology has also been implemented which guarantees the security of the proposed model. Experiments with the hyperledger caliper benchmarking tool provide performance such as latency, throughput, resource utilization, and so on under varied scenarios and control parameters. The results affirm the efficacy of the proposed approach.