Creation of a structured molecular genomics report for Germany as a local adaption of HL7’s Genomic Reporting Implementation Guide

Author:

Stellmach Caroline1ORCID,Sass Julian1ORCID,Auber Bernd2ORCID,Boeker Martin3,Wienker Thomas4,Heidel Andrew J5,Benary Manuela6ORCID,Schumacher Simon7,Ossowski Stephan8,Klauschen Frederick91011,Möller Yvonne12,Schmutzler Rita13,Ustjanzew Arsenij14,Werner Patrick15,Tomczak Aurelie16ORCID,Hölter Thimo1ORCID,Thun Sylvia1

Affiliation:

1. Core Facility Digital Medicine and Interoperability, Berlin Institute of Health (BIH) at Charité - Universitätsmedizin Berlin , Berlin, Germany

2. Department of Human Genetics, Hannover Medical School , Hannover, Germany

3. Fakultät für Medizin, Technische Universität München , Munich, Germany

4. Emeritus Ropers, Max Planck Institute for Molecular Genetics , Berlin, Germany

5. IT Department, Universitätsklinikum Jena , Jena, Germany

6. Core Unit Bioinformatics, Berlin Institute of Health (BIH) at Charité - Universitätsmedizin Berlin , Berlin, Germany

7. Medical Data Integration Center (MeDIC), Universitätsklinikum Köln , Cologne, Germany

8. Institute of Medical Genetics and Applied Genomics, University of Tübingen , Tübingen, Germany

9. Institut für Pathologie, Charité - Universitätsmedizin Berlin , Berlin, Germany

10. Pathologisches Institut, Ludwig-Maximilians-Universität München , Munich, Germany

11. Berlin Institute for the Foundations of Learning and Data (BIFOLD) , Berlin, Germany

12. Center for personalized medicine (ZPM), Universitätsklinikum Tübingen , Tübingen, Germany

13. Center Familial Breast and Ovarian Cancer, National Center of Familial Tumor Diseases and Center of Integrated Oncology, Universitätsklinikum Köln , Cologne, Germany

14. Institut für Medizinische, Biometrie, Epidemiologie und Informatik Mainz, Universitätsmedizin der Johannes Gutenberg-Universität Mainz , Mainz, Germany

15. MOLIT Institut gGmbH , Heilbronn, Germany

16. Liver Cancer Centre Heidelberg, Institute of Pathology, Heidelberg University Hospital , Heidelberg, Germany

Abstract

AbstractObjectiveThe objective was to develop a dataset definition, information model, and FHIR® specification for key data elements contained in a German molecular genomics (MolGen) report to facilitate genomic and phenotype integration in electronic health records.Materials and MethodsA dedicated expert group participating in the German Medical Informatics Initiative reviewed information contained in MolGen reports, determined the key elements, and formulated a dataset definition. HL7’s Genomics Reporting Implementation Guide (IG) was adopted as a basis for the FHIR® specification which was subjected to a public ballot. In addition, elements in the MolGen dataset were mapped to the fields defined in ISO/TS 20428:2017 standard to evaluate compliance.ResultsA core dataset of 76 data elements, clustered into 6 categories was created to represent all key information of German MolGen reports. Based on this, a FHIR specification with 16 profiles, 14 derived from HL7®’s Genomics Reporting IG and 2 additional profiles (of the FamilyMemberHistory and RiskAssessment resources), was developed. Five example resource bundles show how our adaptation of an international standard can be used to model MolGen report data that was requested following oncological or rare disease indications. Furthermore, the map of the MolGen report data elements to the fields defined by the ISO/TC 20428:2017 standard, confirmed the presence of the majority of required fields.ConclusionsOur report serves as a template for other research initiatives attempting to create a standard format for unstructured genomic report data. Use of standard formats facilitates integration of genomic data into electronic health records for clinical decision support.

Funder

German Federal Ministry of Education and Research

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

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