Smart Contract Authentication assisted GraphMap-Based HL7 FHIR architecture for interoperable e-healthcare system.

Area of Science:

• Health Informatics
• Computer Science
• Blockchain Technology

Background:

• e-Healthcare systems face challenges with interoperability, stability, and scalability due to increasing user demands and data complexity.
• Existing HL7-FHIR frameworks often rely on REST-API, which can be complex, time-consuming, and violate quality-of-service (QoS) standards.

Purpose of the Study:

• To develop a robust and interoperable e-Healthcare solution using a novel Smart-Contract Authentication Assisted HL7-FHIR framework.
• To address the limitations of traditional REST-API based FHIR frameworks in meeting QoS demands for large-scale e-Healthcare.

Main Methods:

• The proposed framework utilizes a Graph-mapping concept to transform FHIR resource variables into Graph-Mapped Data Structures (GMS).
• Data is stored in a NoSQL MongoDB database, and a Smart Contract is employed for user authentication and secure electronic health record (EHR) exchange.
• Key components include the GMS-driven HL7 FHIR Gateway Model, Smart Contract Authentication, and Client Model.

Main Results:

• The novel framework significantly reduces computational time and optimizes resource utilization compared to classical REST-API based FHIR.
• The Smart Contract effectively verifies and authenticates users, ensuring privacy and security in EHR exchange.
• The proposed model demonstrates improved performance, meeting QoS demands for e-Healthcare.

Conclusions:

• The developed Smart-Contract Authentication Assisted HL7-FHIR framework offers a viable and efficient solution for enhancing e-Healthcare interoperability.
• This approach addresses critical challenges in scalability, stability, and secure data exchange, improving real-world e-Healthcare mechanisms.