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Unlocking Seamless Healthcare Data Interoperability on AWS Cloud

What is Healthcare Data Interoperability?

Healthcare data interoperability is the ability to exchange and understand the data, providing a syntactic and semantic understanding as it moves across the healthcare domain. The fast-growing healthcare industry requires patient’s records to be readily available, discoverable, and understandable. HL7 (Health Level Seven International) has developed an interoperability specification for the exchange of healthcare information electronically, known as FHIR (Fast Healthcare Interoperability Resources). It enables data to be shared across healthcare IT systems in a readable and usable manner.

How is Healthcare Data Interoperability implemented on AWS Cloud?

AWS Cloud helps create an ecosystem for the healthcare industry by providing a platform for robust exchange of data. This platform helps to load patient’s historical records called as observations using API that easily registers as a bundle resource. It supports multiple interactions such as posting, searching, and updating bundles.

Reference Architecture

The reference architecture below depicts a model for Healthcare Data Interoperability on AWS Cloud.

  1. User requests are authenticated and authorized using Amazon Cognito.
  2. Once authenticated and authorized, request is further routed to Amazon Route53 for DNS resolution of the elastic load balancer.
  3. The request is load balanced using AWS Elastic Load Balancer for the respective healthcare experience APIs.
  4. Initially the request is validated by the experience services deployed in Amazon EKS.
  5. Once validated, request is further routed to Healthcare Core Business Services for further processing. Amazon Aurora stores the static configuration data required for request processing and the dynamic response generated for every request. Logs generated by core services can further be analyzed using Amazon Elasticsearch.
  6. Static healthcare reports are served through Amazon S3 and can be cached with Amazon CloudFront for faster delivery.
  7. AWS CloudTrail, AWS KMS, and Amazon CloudWatch are used for API auditing, Data Encryption, and observability purpose, respectively.

What are the benefits of Healthcare Data Interoperability on AWS Cloud?

• Consistent and easy to implement approach for exchanging data between healthcare systems.
• Improved healthcare services delivery by making data readily accessible.
• Standardized and structured data for automated clinical support and other machine-based processing.
• Elimination of manual exchange of information by feeding directly into workflows.
• 24×7 healthcare on demand data availability across geographic locations.
• Managed infrastructure for ever-growing and huge volume of data.
• Statistical analysis on bulk data to analyze medical trends with AI/ML capabilities.

Conclusion

Healthcare Data Interoperability aids in breaking the silos and facilitates unified integration of information across healthcare institutions. Collaboration, communication, and co-execution are extremely critical in the post-pandemic new world order where Healthcare Data Interoperability on AWS Cloud will make on-time quality care available for a lower possible cost.

FAQs

Q: What is Healthcare Data Interoperability?
A: Healthcare data interoperability is the ability to exchange and understand the data, providing a syntactic and semantic understanding as it moves across the healthcare domain.

Q: How is Healthcare Data Interoperability implemented on AWS Cloud?
A: AWS Cloud helps create an ecosystem for the healthcare industry by providing a platform for robust exchange of data.

Q: What are the benefits of Healthcare Data Interoperability on AWS Cloud?
A: The benefits include consistent and easy implementation, improved healthcare services delivery, standardized and structured data, elimination of manual exchange, 24×7 data availability, managed infrastructure, and statistical analysis.

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