Cross-Site Transfer and Adaptation of an In-House CDSS: First Lessons Learned

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung

Beitragende

Abstract

INTRODUCTION: This study investigates the transfer of core components of an in-house clinical decision support system (CDSS) between two university hospitals in Germany, aiming to derive transferable lessons for CDSS transfer.

STATE OF THE ART: While frameworks for CDSS implementation are well established, guidance on transferring in-house systems to independent clinical sites remains limited, particularly from the perspective of the adopting institution.

CONCEPT: The study frames transfer as a structured process of recontextualization, differentiating site-agnostic core components from locally adapted elements and applying the NASSS framework to systematically identify transferable challenges and scalable strategies.

IMPLEMENTATION: Core components were conceptually integrated with local infrastructure via a modular design, including a data ingestion layer and a UI integration layer, enabling site-specific adaptation and seamless EHR embedding. The system is intended to support clinicians managing patients at risk of acute kidney injury.

LESSONS LEARNED: Key lessons highlight the importance of modular, adaptable components, transparent data pipelines, tailored user interfaces, early stakeholder engagement, robust regulatory and quality management capacity, and consideration of broader system requirements within the applicable regulatory context.

Details

OriginalspracheEnglisch
TitelGerman Medical Data Sciences 2026: BIG DATA, small data, Your Data; Transitions in the age of biomedical AI
Seiten101-109
Seitenumfang9
Band340
ISBN (elektronisch)978-1-64368-687-5
PublikationsstatusVeröffentlicht - 17 Sept. 2026
Peer-Review-StatusJa

Publikationsreihe

ReiheStudies in health technology and informatics
Band340
ISSN0926-9630

Externe IDs

Scopus 105050684662
ORCID /0009-0005-7054-4059/work/228961636
ORCID /0000-0002-9888-8460/work/228961665

Schlagworte

Schlagwörter

  • Acute Kidney Injury/therapy, Decision Support Systems, Clinical/organization & administration, Electronic Health Records/organization & administration, Germany, Humans, Systems Integration