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Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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A Cloud Agnostic Blueprint for Publishing Provider Data as Azure APIs and Transforming It into Da Vinci PDex FHIR Bundles Using Azure Functions and Liquid Templates

Authors: Parthasarathy, Srinivasan;

A Cloud Agnostic Blueprint for Publishing Provider Data as Azure APIs and Transforming It into Da Vinci PDex FHIR Bundles Using Azure Functions and Liquid Templates

Abstract

Healthcare organizations, whether operating fully on‑premises, cloud‑native, or hybrid face increasing pressure to expose provider data in standardized, interoperable formats. The HL7 Da Vinci PDex Plan‑Net Implementation Guide establishes a consistent data exchange model, but legacy systems rarely store information in FHIR‑ready schemas. This whitepaper presents a cloud‑agnostic architecture using Azure API Management (APIM), Azure Functions, canonical JSON, and Liquid templates to reliably convert heterogeneous provider data into PDex FHIR Bundles. The guidance herein applies to systems hosted on‑prem, in private cloud, in public cloud platforms, or in multi‑cloud environments, providing a practical roadmap for organizations modernizing their provider directory pipelines.

Keywords

Liquid Templates, Health Interoperability, Da Vinci, API, FHIR, PDex, Vendor integration, Azure Health Data Services

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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