Medizinische Universität Graz - Research portal
Selected Publication:
Frauenschuh, A.
Improving Patient Outcomes through Dual-Process Theory: A Framework for a Clinical Decision Support System empowering Junior Doctors
Humanmedizin; [ Diplomarbeit ] Medizinische Universität Graz; 2023. pp. 56
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- Authors Med Uni Graz:
- Advisor:
- Enko Dietmar
- Michaelis Simon
- Altmetrics:
- Abstract:
- This thesis examines the application of dual-process theory to the decision-making process of junior doctors in emergency departments. Since errors in the diagnostic process can lead to devastating patient outcomes, comprehending the formation of diagnoses and exploring potential enhancements through information technology is essential. As such, a semi-structured literature search, selected for its ability to encompass a wide range of topics, was conducted across PubMed and Google Scholar. The search yielded 75 papers, of which 37 were deemed relevant and therefore included. Additionally, three resources cited within these papers were also incorporated due to their significant insights. The dual-process theory helps explain the diagnostic process by identifying two modes of thinking: System 1, which is rapid, intuitive, and energy-efficient, and system 2, which is slower, analytical, and more demanding of cognitive resources. Since system 1 requires much experience to work well, junior doctors tend to rely on system 2 thinking. However, this system, especially when employed under high stress, can deplete cognitive resources, leading to cognitive overload and subsequent diagnostic errors. This thesis proposes a framework for how a specifically designed clinical decision support system might reduce cognitive load by suggesting probable differential diagnoses and recommended testing procedures. Such a system could help junior doctors with their decision-making, thereby improving patient outcomes. While this framework provides a promising outlook, it remains theoretical. Future research should focus on the development and testing of such a model in real-world clinical settings to accurately evaluate its performance and impact.