Lean Study Host: Towards an Automated Pipeline for Multi-Center Study Hosting

Lukas Heine, Fabian Hörst, Enrico Nasca, Jan Egger, Jens T. Siveke, Moon Kim, Jens Kleesiek, Fin H. Bahnsen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Medical studies are an essential part of advancing research. A uniform, flexible software infrastructure that allows for straightforward data management stands at the core of studies that involve multiple sites. Such a solution must accommodate the specific technical needs of clinical practitioners and researchers, such as uploading, viewing, downloading, annotating, and sharing image material in various forms. The current tool landscape needs a solution that bridges the gap between intuitive data governance and usability without introducing undesired technical and legal overhead. We present “Lean Study Host” (LSH), a novel, open-source approach to clinical study data management that caters to clinicians, technical staff, and data protection officers. It seeks to reduce technical, administrative, and legal overhead to allow studies to focus more efforts on research. It combines a cloud-native, microservice-based architecture, deidentification, and on-premises hosting to keep data sovereignty within the local institution.

Original languageEnglish
Title of host publicationProceedings of the 57th Annual Hawaii International Conference on System Sciences, HICSS 2024
EditorsTung X. Bui
PublisherIEEE Computer Society
Pages3235-3244
Number of pages10
ISBN (Electronic)9780998133171
StatePublished - 2024
Externally publishedYes
Event57th Annual Hawaii International Conference on System Sciences, HICSS 2024 - Honolulu, United States
Duration: 3 Jan 20246 Jan 2024

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
ISSN (Print)1530-1605

Conference

Conference57th Annual Hawaii International Conference on System Sciences, HICSS 2024
Country/TerritoryUnited States
CityHonolulu
Period3/01/246/01/24

Keywords

  • CI/CD
  • Data management platform
  • FHIR
  • Healthcare infrastructure
  • Study management

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