TY - GEN
T1 - BlockHR
T2 - 12th International Conference on Computer Modeling and Simulation, ICCMS 2020 and the 9th International Conference on Intelligent Computing and Applications. ICICA 2020
AU - Ismail, Leila
AU - Materwala, Huned
N1 - Publisher Copyright:
© 2020 ACM.
PY - 2020/6/22
Y1 - 2020/6/22
N2 - Electronic Health Records (EHRs) have become a popular method to store and manage patients' data in hospitals. Sharing these records make the current healthcare system more accurate and cost-efficient. Currently, EHRs are stored using the client-server architecture allowing the hospitals or a cloud service provider to retain the stewardship of the patients' data. In addition, the records of a patient are scattered among different hospitals using heterogeneous databases. Consequently, patients face difficulties to construct a cohesive view of their medical data history to focus on the details of their healthcare. The replication mechanism and security features of the blockchain has a promising future in the healthcare domain presenting solutions to the complexity, confidentiality, integrity, interoperability, and privacy issues of the current client-server architecture-based EHRs management system. In this paper, we propose a blockchain-based framework for health records management (BlockHR); a medical support system for medical professionals for better prognosis/diagnosis and follow-up on patients. BlockHR incorporates tools for patients to upload medical and lifestyle data used to predict their risk of developing chronic diseases.
AB - Electronic Health Records (EHRs) have become a popular method to store and manage patients' data in hospitals. Sharing these records make the current healthcare system more accurate and cost-efficient. Currently, EHRs are stored using the client-server architecture allowing the hospitals or a cloud service provider to retain the stewardship of the patients' data. In addition, the records of a patient are scattered among different hospitals using heterogeneous databases. Consequently, patients face difficulties to construct a cohesive view of their medical data history to focus on the details of their healthcare. The replication mechanism and security features of the blockchain has a promising future in the healthcare domain presenting solutions to the complexity, confidentiality, integrity, interoperability, and privacy issues of the current client-server architecture-based EHRs management system. In this paper, we propose a blockchain-based framework for health records management (BlockHR); a medical support system for medical professionals for better prognosis/diagnosis and follow-up on patients. BlockHR incorporates tools for patients to upload medical and lifestyle data used to predict their risk of developing chronic diseases.
KW - Blockchain
KW - Client-server architecture
KW - Electronic health records
KW - Health information management
UR - http://www.scopus.com/inward/record.url?scp=85091962694&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85091962694&partnerID=8YFLogxK
U2 - 10.1145/3408066.3408106
DO - 10.1145/3408066.3408106
M3 - Conference contribution
AN - SCOPUS:85091962694
T3 - ACM International Conference Proceeding Series
SP - 164
EP - 168
BT - Proceedings of ICCMS 2020 - 12th International Conference on Computer Modeling and Simulation and ICICA 2020 - 9th International Conference on Intelligent Computing and Applications
PB - Association for Computing Machinery
Y2 - 22 June 2020 through 24 June 2020
ER -