Work

Structured Queries to AQL: Querying OpenEHR Data Leveraging a FHIR-Based Infrastructure for Federated Feasibility Queries

Year: 2024

Type: book-chapter

Abstract: In digital healthcare, data heterogeneity is a reoccurring issue caused by proprietary source systems. It is often overcome by utilizing ETL processes resulting in data warehouses, which ensure common data models for interoperability. Unfortunately, the achieved interoperability is usually limited to an institutional level. The broad solution space to achieve interoperability with different health data standards is part of the problem, resulting in different standards used at various institutions. For cross-institutional use cases like federated feasibility queries, the issue of heterogeneity is reintroduced. This work showcases how the existing German infrastructure for federated feasibility queries based on Hl7 FHIR can be extended to support openEHR without further data transformation. By utilizing an intermediate query format that can be transferred to FHIR Search, CQL, and AQL.

Source: Studies in health technology and informatics

DOI: 10.3233/shti230922

Authors: Lorenz Rosenau, Josef Ingenerf

Institution: University of Lübeck

Language: English

Topic: Electronic Health Records Systems

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

Open Access status: hybrid

Funder: Bundesministerium für Bildung und Forschung

Award: HiGHmed - Medizininformatik - Konsortium - Beitrag UKSH, Campus Lübeck und Universität Lübeck