Hybrid GraphQL-FHIR Gateway for Real-Time Retail-Health Data Interchange

Authors

  • Jessy Christadoss SiriusXM Radio, USA Author
  • Priya Dharshini Kalyanasundaram Amazon, USA Author
  • Nithin Vunnam Cardinal Health, USA Author

Keywords:

GraphQL, FHIR, OAuth 2.0, real-time data interchange, schema stitching, prescription workflows

Abstract

We test a hybrid GraphQL-FHIR gateway for real-time retail health data exchange. The gateway requests and modifies field-level data using OAuth 2.0 scopes for stringent access control. Open-source middleware transforms FHIR to GraphQL. Even with multiple users filling prescriptions, sync loyalty programs, and interact with consumers at the point of sale, the system provides exact schema stitching and secure transactions. Benchmarking system performance, load delay, and mutation consistency. This means the gateway can decrease vendor API and overfetching. The gateway modifies FHIR profiles and supports retail health use cases via schema federation and query introspection. Experimental findings suggest that the method improves operational efficiency, interoperability, and safe omnichannel data flow for scalable and compliant health-retail connections in contemporary organisational ecosystems.

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References

H. L. Seven International, "FHIR Release 4 (R4): HL7 Fast Healthcare Interoperability Resources," 2019. [Online]. Available: https://www.hl7.org/fhir/

L. Byron, "GraphQL: A Data Query Language," Facebook Engineering, 2015.

D. Bender and K. Sartipi, "HL7 FHIR: An Agile and RESTful approach to healthcare information exchange," in Proc. IEEE CBMS, 2013, pp. 326–331.

M. Mandl, I. Mandel and J. Kohane, "SMART on FHIR: A standards-based, interoperable apps platform for electronic health records," J. Am. Med. Inform. Assoc., vol. 23, no. 5, pp. 899–908, Sep. 2016.

A. Schreiber, "Using GraphQL with FHIR: Approaches and Limitations," in Proc. MedInfo, 2019, pp. 1166–1170.

H. Nguyen, K. Detweiler, and T. Weng, "FHIRChain: Applying Blockchain to Securely and Scalably Share Clinical Data," Comput. Struct. Biotechnol. J., vol. 16, pp. 267–278, 2018.

Y. Chen, P. Ding, H. Xu and Y. Wang, "Design and Implementation of Healthcare APIs Based on GraphQL and FHIR," in Proc. IEEE BHI, 2021, pp. 1–4.

A. El-Sappagh et al., "Comprehensive Survey of the HL7 FHIR Standard: Challenges, Opportunities and Implementation," IEEE Access, vol. 7, pp. 155798–155827, 2019.

A. Taweel et al., "Secure Data Interoperability for Real-World Health Research," in Proc. IEEE EMBC, 2019, pp. 2224–2228.

IETF, "The OAuth 2.0 Authorization Framework," RFC 6749, Oct. 2012. [Online]. Available: https://tools.ietf.org/html/rfc6749

J. Bradley and N. Sakimura, "OpenID Connect Core 1.0," OpenID Foundation, Nov. 2014. [Online]. Available: https://openid.net/specs/openid-connect-core-1_0.html

J. Hartig, "Federated GraphQL: A Survey of Existing Solutions," in Proc. GraphQLConf, 2020.

A. Hindle, "RESTful APIs vs GraphQL APIs: A Performance Analysis," in Proc. IEEE ICSME, 2020, pp. 128–138.

T. Linnemann and D. Albers, "Evaluation of GraphQL for Healthcare Information Systems," in Proc. HIMSS Europe, 2019.

G. Denaro, A. Polini, and W. Emmerich, "Performance and Scalability of Distributed Systems: An Empirical Evaluation of Middleware Architectures," Springer JSS, vol. 83, no. 5, pp. 723–742, May 2010.

M. Saleh, K. Fawaz and A. Alabdulatif, "Privacy-aware APIs in Healthcare: Concepts and Realization," in Proc. IEEE IHI, 2017, pp. 367–376.

D. Goyal and A. Namdeo, "A Secure Scalable Healthcare Architecture Based on FHIR and OAuth 2.0," in Proc. IEEE ICCC, 2021, pp. 506–510.

J. Park and S. Kim, "HIPAA-Compliant Access Control Model for EHR Systems," Health Informatics J., vol. 26, no. 3, pp. 1832–1845, Sep. 2020.

S. López, J. Riaño, and C. Botti, "Scalable Microservice Architectures for Health IT Systems Using FHIR," in Proc. IEEE HealthCom, 2020, pp. 110–117.

B. Radley, "A Pattern for GraphQL Schema Stitching in Federated Architectures," Apollo GraphQL Tech Blog, 2020. [Online]. Available: https://www.apollographql.com/blog/

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Published

05-12-2024

How to Cite

[1]
Jessy Christadoss, Priya Dharshini Kalyanasundaram, and Nithin Vunnam, “Hybrid GraphQL-FHIR Gateway for Real-Time Retail-Health Data Interchange”, Essex Journal of AI Ethics and Responsible Innovation, vol. 4, pp. 204–238, Dec. 2024, Accessed: May 23, 2026. [Online]. Available: https://ejaeai.org/index.php/publication/article/view/87