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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: May 8, 2019
Open Peer Review Period: May 9, 2019 - Jul 4, 2019
Date Accepted: Aug 31, 2019
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

A Virtual Counseling Application Using Artificial Intelligence for Communication Skills Training in Nursing Education: Development Study

Shorey S, Ang E, Yap J, Ng ED, Lau ST, Chui CK

A Virtual Counseling Application Using Artificial Intelligence for Communication Skills Training in Nursing Education: Development Study

J Med Internet Res 2019;21(10):e14658

DOI: 10.2196/14658

PMID: 31663857

PMCID: 6913997

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

A Virtual Counseling Application Using Artificial Intelligence for Communication Skills Training in Nursing Education: Development Study

  • Shefaly Shorey; 
  • Emily Ang; 
  • John Yap; 
  • Esperanza Debby Ng; 
  • Siew Tiang Lau; 
  • Chee Kong Chui

Background:

The ability of nursing undergraduates to communicate effectively with health care providers, patients, and their family members is crucial to their nursing professions as these can affect patient outcomes. However, the traditional use of didactic lectures for communication skills training is ineffective, and the use of standardized patients is not time- or cost-effective. Given the abilities of virtual patients (VPs) to simulate interactive and authentic clinical scenarios in secured environments with unlimited training attempts, a virtual counseling application is an ideal platform for nursing students to hone their communication skills before their clinical postings.

Objective:

The aim of this study was to develop and test the use of VPs to better prepare nursing undergraduates for communicating with real-life patients, their family members, and other health care professionals during their clinical postings.

Methods:

The stages of the creation of VPs included preparation, design, and development, followed by a testing phase before the official implementation. An initial voice chatbot was trained using a natural language processing engine, Google Cloud’s Dialogflow, and was later visualized into a three-dimensional (3D) avatar form using Unity 3D.

Results:

The VPs included four case scenarios that were congruent with the nursing undergraduates’ semesters’ learning objectives: (1) assessing the pain experienced by a pregnant woman, (2) taking the history of a depressed patient, (3) escalating a bleeding episode of a postoperative patient to a physician, and (4) showing empathy to a stressed-out fellow final-year nursing student. Challenges arose in terms of content development, technological limitations, and expectations management, which can be resolved by contingency planning, open communication, constant program updates, refinement, and training.

Conclusions:

The creation of VPs to assist in nursing students’ communication skills training may provide authentic learning environments that enhance students’ perceived self-efficacy and confidence in effective communication skills. However, given the infancy stage of this project, further refinement and constant enhancements are needed to train the VPs to simulate real-life conversations before the official implementation.


 Citation

Please cite as:

Shorey S, Ang E, Yap J, Ng ED, Lau ST, Chui CK

A Virtual Counseling Application Using Artificial Intelligence for Communication Skills Training in Nursing Education: Development Study

J Med Internet Res 2019;21(10):e14658

DOI: 10.2196/14658

PMID: 31663857

PMCID: 6913997

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