Decision support system supporting clinical reasoning process - an evaluation study in dementia care.

Area of Science:

• Medical Informatics
• Clinical Decision Support
• Knowledge Engineering

Background:

• Investigating patients with suspected dementia involves complex diagnostic processes.
• Early integration of decision-support systems (DSS) can aid knowledge acquisition and formalization.
• Qualitative evaluation is crucial for assessing DSS compliance with clinical workflows.

Purpose of the Study:

• To model the target activity in dementia investigation for knowledge formalization.
• To qualitatively evaluate an early DSS prototype's alignment with clinical reasoning and work processes.
• To inform the development of a robust DSS for dementia diagnosis.

Main Methods:

• Case study methodology.
• Integration of an early DSS prototype into the dementia investigation process.
• Qualitative evaluation of system compliance with clinical practices.

Main Results:

• The DSS prototype facilitated knowledge acquisition and formalization.
• Contextual factors, including local clinical routines, significantly influence system utility.
• The study highlighted the need for adaptive support tailored to preliminary diagnosis needs.

Conclusions:

• Further development of DSS for dementia investigation should incorporate clinical practice realities.
• System design must accommodate local routines to enhance diagnostic support effectiveness.
• Successful DSS integration requires a deep understanding of the target domain's workflow.