Evaluating clinical decision support tools for medication administration safety in a simulated environment

Area of Science:

• Health Informatics
• Nursing Practice
• Human-Computer Interaction

Background:

• Medication administration errors pose a significant risk in healthcare settings.
• Clinical decision support systems (CDSS) are designed to aid healthcare professionals and reduce errors.
• Understanding user needs and workflow integration is critical for effective CDSS design.

Purpose of the Study:

• To develop a methodology and tools for designing CDSS aimed at decreasing medication administration errors.
• To evaluate nurses' perceptions and usage of CDSS tools in a simulated environment.

Main Methods:

• A mixed-methods approach combining direct observation of medication administration and semi-structured focus groups.
• Development of a simulated information system with integrated decision support tools.
• Observation of nurses interacting with the simulated system during medication administration tasks.

Main Results:

• Nurses tended to underestimate their need for decision support during medication administration.
• Preferred decision support features included brevity, color-coding, and easy accessibility.
• Observed work processes varied, highlighting the need for flexible system design and information delivery to accommodate diverse nursing workflows and minimize workarounds.

Conclusions:

• The developed methodology for designing and testing CDSS using simulation is transferable to other healthcare settings.
• Simulation provides a safe environment to test new information system designs without risking patient safety.
• Flexible CDSS design that accommodates varied user workflows is essential for effective implementation and error reduction.