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DBOS: A Dialog-Based Object Query System for Hospital Nurses.

Edward T-H Chu1, Zi-Zhe Huang1

  • 1Department of Computer Science and Information Engineering, National Yunlin University of Science and Technology, Yunlin 64002, Taiwan.

Sensors (Basel, Switzerland)
|November 24, 2020
PubMed
Summary
This summary is machine-generated.

A new dialog-based object query system (DBOS) helps nurses quickly find mobile medical equipment using a chatbot interface. This system achieved 92.8% accuracy in understanding user search intent, improving workflow efficiency.

Keywords:
conversational agentinstant messengernatural language processingsmart hospital

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Area of Science:

  • Health Informatics
  • Human-Computer Interaction
  • Medical Device Management

Background:

  • Indoor positioning technology enables tracking of mobile medical equipment within hospitals.
  • Nurses require efficient methods to locate devices amidst high workloads, especially during shift changes or treatments.
  • Existing search methods may not be user-friendly or integrated into daily nursing workflows.

Purpose of the Study:

  • To propose DBOS, a dialog-based object query system, for locating mobile medical equipment.
  • To develop a user-friendly search interface integrated into a popular mobile messaging app (Line chatbot).
  • To evaluate DBOS's accuracy and effectiveness in identifying user intent for equipment searches.

Main Methods:

  • DBOS simulates conversational queries through a Line chatbot interface.
  • A hybrid approach combining Cosine Similarity (CS) and Term Frequency-Inverse Document Frequency (TF-IDF) is used to determine user intent.
  • Performance was evaluated using 70 search queries from a head nurse and compared against CS, TF-IDF, and Facebook Wit.ai.

Main Results:

  • DBOS demonstrated superior performance compared to CS, TF-IDF, and Facebook Wit.ai.
  • The system achieved a high accuracy rate of 92.8% in identifying user intent for equipment location queries.
  • The dialog-based approach proved effective for practical nursing scenarios.

Conclusions:

  • DBOS offers an accurate and user-friendly solution for locating mobile medical equipment in hospital settings.
  • Integrating object query systems into daily communication platforms enhances nursing efficiency and workflow.
  • The hybrid CS-TF-IDF method effectively interprets user intent in a conversational context for medical device tracking.