Enabling Seamless Cyber-Healthcare Interoperability: A Multi Technology Approach With FHIR, Blockchain, And AI

Abstract

The interoperability of seamless cyber-healthcare 
systems will ensure efficient data sharing and 
security. This study will make a proposal for an 
integrated framework that incorporates FHIR, 
Blockchain, and AI to develop health 
interoperability, security, and healthcare data 
management decision-making. FHIR is synonymous 
with standardization of data exchange in multiple 
healthcare platforms, but Blockchain renders 
secure, tamper-proof, and privacy-preserving data 
storage. AI enables predictive analytics and 
decision-making that optimize patient care and 
operational efficiency. The method proposed here is 
evaluated based on key performance metrics such as 
data throughput, latency, accuracy, encryption 
security, scalability, and resource utilization Comparative analysis with existing methods reveals 
the superiority of the combined approach, with a 
higher accuracy (94.5%), improved security (6-bit 
encryption strength), lower latency (100 ms), and 
improved scalability (2.0 scale factor). The findings 
reflect the possibilities that FHIR + Blockchain + AI 
can offer in empowering secure, scalable, and 
efficient cyber-healthcare interoperability to 
improve healthcare outcome and better management 
of patient data.