Performance Review of Intelligent Guidance Robot at the Outpatient Clinic Setting

Area of Science:

• Healthcare technology
• Human-robot interaction
• Hospital management

Background:

• Hospitals are exploring mobile intelligent guidance robots to assist patients in outpatient services.
• Evaluating the real-world application and patient experience of these robots is crucial.

Purpose of the Study:

• To analyze the implementation, effect, and experience of a mobile intelligent guidance robot in hospital outpatient services.
• To assess the robot's performance in terms of service volume, accuracy, and functions.

Main Methods:

• Analysis of human-robot verbal communications data collected in November 2019.
• Evaluation of the robot's application based on service volume, accuracy, and functions.

Main Results:

• The intelligent guidance robot's accuracy in answering outpatient service questions was significantly lower than claimed.
• Robot utilization review yielded unexpected results, indicating a need for further analysis.
• The robot's potential extends beyond navigation to improving public health literacy.

Conclusions:

• Current intelligent guidance robots have limitations in accuracy and utilization that require improvement.
• Hospitals should expand robot service functions and enhance patient experience through further experimentation.
• Intelligent guidance robots can be valuable tools for improving public health literacy in healthcare settings.