Nutzung und Akzeptanz klinischer Entscheidungsunterstützungssysteme - Entwurf eines Modells für die medizinische Lehre

Perlich, Annika Christina

dc.contributor.advisor	Rienhoff, Otto Prof. Dr.
dc.contributor.author	Perlich, Annika Christina
dc.date.accessioned	2022-05-03T14:15:52Z
dc.date.available	2022-05-20T00:50:10Z
dc.date.issued	2022-05-03
dc.identifier.uri	http://resolver.sub.uni-goettingen.de/purl?ediss-11858/14028
dc.identifier.uri	http://dx.doi.org/10.53846/goediss-9208
dc.language.iso	deu	de
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/
dc.subject.ddc	610	de
dc.title	Nutzung und Akzeptanz klinischer Entscheidungsunterstützungssysteme - Entwurf eines Modells für die medizinische Lehre	de
dc.type	doctoralThesis	de
dc.title.translated	Use and acceptance of clinical decision support systems - conception of a module for medical education	de
dc.contributor.referee	Hauschild, Anne-Christin Prof. Dr.
dc.date.examination	2022-05-12	de
dc.description.abstracteng	Background: The importance of clinical decision support systems increases with the advances of precision medicine and the growing amount and complexity of clinical data. Despite frequently proven benefits, the applications are not widely used. The main problems of acceptance are their insufficient integration into clinical work flow and the lack of user training. Medical students are insufficiently prepared for the impact of already integrated systems in clinical practice. The aim of this thesis was to analyse the use and acceptance of clinical decision support systems using these results for the conception of a module for medical education. Methods: The current state of use and acceptance of clinical decision support systems was researched by literature review and field observation at three hospitals. Based on these results a module for medical education at the university of Göttingen was developed using a blended learning approach. The module was embedded in the HiGHmed-project and its cooperation with industry partner Ada Health, trialed and evaluated using standardized questionnaires. Results: Despite the longstanding development of clinical decision support systems, their acceptance remains a problem mainly due to insufficient integration into clinical work flow, changing role models of doctors and shared decision making. There is a distinct need to address this topic in new medical teaching modules. A prototype of a clinical decision support systems module for medical students was developed. It was successfully put into practice using a blended learning approach with e-learning in form of a podcast and a training lab at the university medical center Göttingen. The module was evaluated in a first trial with six participants – four medical students, one doctor and one nurse. The participants showed great interest in the topic and considered it essential for future medical education. Knowledge and accomplishments regarding the use of clinical decision support systems could be enhanced. Due to covid-19 pandemic further testing was impossible. Conclusions: This thesis shows that theoretical and practical foundations of clinical decision support systems as well as their chances and risks need to be integrated into medical curricula. A framework for following trials was developed and examined. It can be used for further curricular development. Additionally it can be estimated that there is further demand for medical fellows and other healthcare professions.	de
dc.contributor.coReferee	Meyer, Thomas Prof. Dr.
dc.subject.ger	Klinische Entscheidungsunterstützungssysteme	de
dc.subject.ger	Klinische Entscheidungsfindung	de
dc.subject.ger	Medizinische Lehre	de
dc.subject.ger	Blended Learning	de
dc.subject.eng	clinical decision support systems	de
dc.subject.eng	clinical reasoning	de
dc.subject.eng	medical education	de
dc.subject.eng	blended learning	de
dc.subject.eng	Ada Health	de
dc.subject.eng	HiGHmed	de
dc.identifier.urn	urn:nbn:de:gbv:7-ediss-14028-3
dc.affiliation.institute	Medizinische Fakultät	de
dc.subject.gokfull	Medizin (PPN619874732)	de
dc.subject.gokfull	Medizinische Informatik (PPN619875089)	de
dc.description.embargoed	2022-05-20	de
dc.identifier.ppn	1800990014

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Human- und Zahnmedizin [2999]

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