Design and Implementation of a Community Driven Clinical Trial Information Management System for Precision Oncology Settings

It is possible to use the FHIR standard and an open-source information model represented in our IG to build an open, interoperable clinical trial register. Advanced features like user suggestions and audit trails of individual resource fields could be represented by extending the FHIR standard. CATS is the first implementation of an open-for-collaboration clinical trial registry with modern oncological trial designs and machine-to-machine communication in mind and its methodology could be extended to other medical fields besides precision oncology. Due to its well-defined interfaces, it has the potential to provide automated patient recruitment decision support for precision oncology trials in digital applications.

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Publication Details

Journal
Studies in health technology and informatics
Published
2024-08-30
DOI
https://doi.org/10.3233/shti240844
Citations
2
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
4.88
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article

Design and Implementation of a Community Driven Clinical Trial Information Management System for Precision Oncology Settings

Christian Fegeler, Patrick Werner, Stefan Sigle, Sylvia Bochum et al.
2 citations
Studies in health technology and informatics
Scientific Computing and Data Management
4.88
article

Design and Implementation of a Community Driven Clinical Trial Information Management System for Precision Oncology Settings

Christian Fegeler, Patrick Werner, Stefan Sigle, Sylvia Bochum, Georg Mathes
article en
2 citations

Abstract

It is possible to use the FHIR standard and an open-source information model represented in our IG to build an open, interoperable clinical trial register. Advanced features like user suggestions and audit trails of individual resource fields could be represented by extending the FHIR standard. CATS is the first implementation of an open-for-collaboration clinical trial registry with modern oncological trial designs and machine-to-machine communication in mind and its methodology could be extended to other medical fields besides precision oncology. Due to its well-defined interfaces, it has the potential to provide automated patient recruitment decision support for precision oncology trials in digital applications.

Studies in health technology and informaticsVol. 317
Heilbronn University (DE), SLK-Kliniken Heilbronn (DE)
Reduced inequalities
Openalex Percentile: Top 5%
Scientific Computing and Data Management
4.88
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