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Need assessment for history-taking instruction program using chatbot for nursing students: A qualitative study using

Yanya Chen1,2, Qingran Lin1,3, Xiaohan Chen2

  • 1School of Nursing, Jinan University, Guangzhou, China.

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Summary

Nursing students face challenges in clinical history-taking. They desire chatbot-based training programs incorporating feedback, diverse scenarios, and skill practice to enhance their learning.

Keywords:
Artificial intelligencechatbotdigital healtheducationhistory-taking

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Area of Science:

  • Nursing Education
  • Health Informatics
  • Medical Simulation

Background:

  • Effective health history-taking is crucial for patient care planning.
  • Nursing students often struggle to develop comprehensive history-taking skills in clinical settings.
  • Chatbots have been proposed as a potential tool to aid in history-taking training.

Purpose of the Study:

  • To explore the specific needs of nursing students for chatbot-based history-taking instruction.
  • To identify essential components for developing effective chatbot training programs for nursing students.

Main Methods:

  • Qualitative study employing four focus groups with 22 nursing students.
  • Colaizzi's phenomenological methodology used for data analysis.

Main Results:

  • Identified limitations in clinical practice for history-taking skill development.
  • Highlighted student perceptions and essential requirements for chatbot-based training.
  • Key components include chatbot feedback, varied clinical situations, non-technical skill practice, chatbot form (humanoid/cyborg), teacher roles, and pre-clinical training.

Conclusions:

  • Nursing students experience practical limitations in history-taking during clinical placements.
  • There are high expectations and specific needs for chatbot-based instruction to improve history-taking proficiency.