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Complex decision making in an intensive care environment: Perceived practice versus observed reality.
Sarah A Teele1,2, Patrice Tremoulet3, Peter C Laussen1
1Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Journal of Evaluation in Clinical Practice
|September 28, 2023
Summary
Clinician decision-making in complex hospital settings is influenced by cognitive traits and team dynamics, not just patient factors. Understanding these influences can improve healthcare delivery and clinical education.
Area of Science:
- Healthcare delivery
- Medical education
- Clinical decision making
Background:
- Understanding decision-making in complex hospital environments is crucial for improving healthcare.
- Cognitive, social, and technological factors significantly impact clinical environments.
Purpose of the Study:
- To explore factors influencing clinician decision-making in a pediatric Cardiac Intensive Care Unit.
- To identify discrepancies between perceived and actual decision-making drivers.
Main Methods:
- Convergent mixed methods design utilizing faculty surveys, direct observations, and semi-structured interviews.
- Social network analysis was employed to visualize qualitative data, illustrating code frequency and connectivity.
- Clinical decision support systems (CDSS) were used to identify specific patient populations for observation.
Main Results:
- Individual patient characteristics were perceived as primary decision factors, but observations revealed greater weight on cognitive traits, team expertise, and value-based decisions.
- Role modeling significantly impacted the development of clinical expertise.
- System and environmental factors were perceived to influence decision-making processes.
Conclusions:
- Clinician perceptions of decision-making did not align with observed behaviors in a dynamic, complex system.
- Findings offer critical insights for clinical curricula and the design/implementation of clinical decision support systems (CDSS).
- Social network analysis provides a valuable method for exploring decision-making in complex environments.
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