Implementing pharmacogenomic clinical decision support into German hospitals

Marc Hinderer, Melanie Boerries, Martin Boeker, Michael Neumaier, Frank Peter Loubal, Till Acker, Manfred Brunner, Hans Ulrich Prokosch, Jan Christoph

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

7 Scopus citations

Abstract

Background: Pharmacogenomic Clinical Decision Support Systems (CDSS) are considered to be the most feasible tool for adopting pharmacogenomic testing into clinical routine. Objective: To discuss important factors for implementing pharmacogenomic CDSS into German hospitals. Methods: We analyzed two relevant studies. Furthermore, we interviewed data privacy officers of three German university hospitals and examined relevant legal regulations in literature. Results: There are three major barriers for implementing pharmacogenomic CDSS into German hospitals: (i) the legal uncertainty; (ii) the lack of machine-readable data; (iii) the remaining knowledge gap of both genetics and pharmacogenomics among physicians. Conclusion: The implementation of passive clinical decision support (CDS) for somatic mutations in the form of structured pharmacogenomic reports might be the most feasible CDS feature for clinicians in German hospitals.

Original languageEnglish
Title of host publicationBuilding Continents of Knowledge in Oceans of Data
Subtitle of host publicationThe Future of Co-Created eHealth - Proceedings of MIE 2018
EditorsAdrien Ugon, Daniel Karlsson, Gunnar O. Klein, Anne Moen
PublisherIOS Press BV
Pages870-874
Number of pages5
ISBN (Electronic)9781614998518
DOIs
StatePublished - 2018
Externally publishedYes
Event40th Medical Informatics in Europe Conference, MIE 2018 - Gothenburg, Sweden
Duration: 24 Apr 201826 Apr 2018

Publication series

NameStudies in Health Technology and Informatics
Volume247
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference40th Medical Informatics in Europe Conference, MIE 2018
Country/TerritorySweden
CityGothenburg
Period24/04/1826/04/18

Keywords

  • Clinical decision-making
  • Personalized medicine
  • Pharmacogenetics

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