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Decision complexity affects the extent and type of decision support use.
Vitali Sintchenko1, Enrico Coiera
1Centre for Health Informatics, University of New South Wales, Sydney 2052, New South Wales, Australia.
Clinical decision support systems (DSS) are used less for complex decisions. Higher complexity led to lower DSS use but required more advanced tools for critical care antibiotic prescribing.
Area of Science:
- Clinical medicine
- Medical informatics
- Human-computer interaction
Background:
- Increasing decision complexity is a risk in clinical medicine.
- The effect of decision task complexity on clinical decision support systems (DSS) use is not well understood.
- Antibiotic prescribing in critical care is a complex, time-pressured task.
Purpose of the Study:
- To explore how decision complexity impacts DSS utilization in critical care.
- To compare the use of antibiotic guidelines versus an interactive probability calculator for ventilator-associated pneumonia (VAP).
Main Methods:
- A web-based experiment was conducted.
- Participants' utilization of DSS was compared based on decision complexity.
- Tools evaluated included antibiotic guidelines and a VAP probability calculator with lab data.
Main Results:
- Decision support was utilized more frequently for less complex decisions.
- Higher complexity decisions showed lower DSS utilization frequency.
- Complex decisions necessitated the use of a situation assessment tool and pathology data.
Conclusions:
- Decision complexity influences the extent and type of information support used in clinical decision-making.
- Understanding this relationship is crucial for optimizing DSS design and implementation.
- Tailoring DSS to varying levels of decision complexity may enhance their effectiveness.
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