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Hauke Hund edited this page Aug 23, 2023 · 62 revisions

Introduction

The HiGHmed Data Sharing Framework (HiGHmed DSF) implements a distributed process engine based on the BPMN 2.0 and FHIR R4 standards. Within the HiGHmed medical informatics consortium, the DSF is used to support biomedical research with routine data. Every participating site runs a FHIR endpoint (dsf-fhir) accessible by other sites and a business process engine (dsf-bpe) in the local secured network. Authentication between sites is handled using X.509 client/server certificates. The process engines execute BPMN processes in order to coordinate local and remote steps necessary to enable cross-site data sharing and feasibility analyses. This includes access to local data repositories, use-and-access-committee decision support, consent filtering, and privacy preserving record-linkage and pseudonymization.

Recorded Talks

Publications

  • H. Hund, R. Wettstein, C.M. Heidt, C. Fegeler, Executing Distributed Healthcare and Research Processes – The HiGHmed Data Sharing Framework, Stud Health Technol Inform, 278 (2021) 126-133, doi:10.3233/SHTI210060
  • R. Wettstein, H. Hund, I. Kobylinski, C. Fegeler, O. Heinze, Feasibility Queries in Distributed Architectures – Concept and Implementation in HiGHmed, Stud Health Technol Inform, 278 (2021) 134-141, doi:10.3233/SHTI210061
  • C.M. Heidt, H. Hund, C. Fegeler, A Federated Record Linkage Algorithm for Secure Medical Data Sharing, Stud Health Technol Inform, 278 (2021) 142-149, doi:10.3233/SHTI210062
  • R. Wettstein, H. Hund, C. Fegeler, O. Heinze, Data Sharing in Distributed Architectures – Concept and Implementation in HiGHmed, Stud Health Technol Inform, 283 (2021) 111-118, doi:10.3233/SHTI210548
  • H.-U. Prokosch, T. Bahls, M. Bialke, J. Eils, C. Fegeler, J. Gruendner, B. Haarbrandt, C. Hampf, W. Hoffmann, H. Hund, et al. The COVID-19 Data Exchange Platform of the German University Medicine, Stud Health Technol Inform, 294 (2022) 674-678, doi:10.3233/SHTI220554
  • R. Wettstein, T. Kussel, H. Hund, C. Fegeler, M. Dugas, K. Hamacher, Secure Multi-Party Computation Based Distributed Feasibility Queries – A HiGHmed Use Case, Stud Health Technol Inform, 296 (2022) 41-49, doi:10.3233/SHTI220802

General Information

Code

Tutorial

Build & Test

Releases / Deployment

Version 0.9.3

Older Versions

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