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

Use and acceptance of clinical decision support systems - conception of a module for medical education

by Annika Christina Perlich
Doctoral thesis
Date of Examination:2022-05-12
Date of issue:2022-05-03
Advisor:Prof. Dr. Otto Rienhoff
Referee:Prof. Dr. Anne-Christin Hauschild
Referee:Prof. Dr. Thomas Meyer
Persistent Address: http://dx.doi.org/10.53846/goediss-9208

 

 

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Abstract

English

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.
Keywords: clinical decision support systems; clinical reasoning; medical education; blended learning; Ada Health; HiGHmed
Schlagwörter: Klinische Entscheidungsunterstützungssysteme; Klinische Entscheidungsfindung; Medizinische Lehre; Blended Learning
 
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