Sven Bichtemann, Oliver Johannes Bott, Johanna Apfel-Starke, Vicky Scholz, Thomas Illig, Sara Haag
{"title":"ProvideQ: A Web-Based Knowledge Platform for Assessing Preanalytical Influences on Biomolecules in Biospecimens.","authors":"Sven Bichtemann, Oliver Johannes Bott, Johanna Apfel-Starke, Vicky Scholz, Thomas Illig, Sara Haag","doi":"10.3233/SHTI251419","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Preanalytical factors significantly impact the stability of biomolecules in biospecimens, affecting the reliability of biomedical research and diagnostics. This paper presents the development of ProvideQ (Database for pre-analytical variability and biospecimen quality), a web-based platform designed to centralize access to research findings on these influences.</p><p><strong>Methods: </strong>Building on an initial prototype, we implemented a validated criteria catalog for data quality, an efficient search system handling incomplete inputs, and SPREC 4.0 integration for standardized coding of preanalytical variables. User feedback from usability tests enhanced the platform's interface.</p><p><strong>Results: </strong>Results include an improved data model, a Python-based literature import module, and an intuitive frontend using Next.js and React.</p><p><strong>Conclusion: </strong>ProvideQ supports analyte- and sample-centric searches, demonstrating its potential as a valuable tool in biobanking and research. Future enhancements include expanding the database and integrating AI-driven analytics of scientific publications on pre-analytical factors to facilitate the import of research results into the platform.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"331 ","pages":"386-394"},"PeriodicalIF":0.0000,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Studies in health technology and informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/SHTI251419","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: Preanalytical factors significantly impact the stability of biomolecules in biospecimens, affecting the reliability of biomedical research and diagnostics. This paper presents the development of ProvideQ (Database for pre-analytical variability and biospecimen quality), a web-based platform designed to centralize access to research findings on these influences.
Methods: Building on an initial prototype, we implemented a validated criteria catalog for data quality, an efficient search system handling incomplete inputs, and SPREC 4.0 integration for standardized coding of preanalytical variables. User feedback from usability tests enhanced the platform's interface.
Results: Results include an improved data model, a Python-based literature import module, and an intuitive frontend using Next.js and React.
Conclusion: ProvideQ supports analyte- and sample-centric searches, demonstrating its potential as a valuable tool in biobanking and research. Future enhancements include expanding the database and integrating AI-driven analytics of scientific publications on pre-analytical factors to facilitate the import of research results into the platform.