Implementing pharmacogenomic clinical decision support into German hospitals
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
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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Studies in health technology and informatics. - 247 (2018) , 870 - 874, ISSN: 1879-8365
- Ereignis
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Veröffentlichung
- (wo)
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Freiburg
- (wer)
-
Universität
- (wann)
-
2019
- Urheber
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Hinderer, Marc
Börries, Melanie
Boeker, Martin
Neumaier, Michael
Loubal, Frank-Peter
Acker, Till
Brunner, Manfred
Prokosch, Hans-Ulrich
Christoph, Jan
- Beteiligte Personen und Organisationen
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Zentrum für Biochemie und Molekulare Zellforschung
Arbeitsgruppe Medizinische Informatik
- DOI
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10.3233/978-1-61499-852-5-870
- URN
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urn:nbn:de:bsz:25-freidok-1444609
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:50 MEZ
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Beteiligte
- Hinderer, Marc
- Börries, Melanie
- Boeker, Martin
- Neumaier, Michael
- Loubal, Frank-Peter
- Acker, Till
- Brunner, Manfred
- Prokosch, Hans-Ulrich
- Christoph, Jan
- Zentrum für Biochemie und Molekulare Zellforschung
- Arbeitsgruppe Medizinische Informatik
- Universität
Entstanden
- 2019
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