Intelligent Virtual Patients for Training Clinical Skills

The article presents the design process of intelligent virtual human patients that are used for the enhancement of clinical skills. The description covers the development from conceptualization and character creation to technical components and the application in clinical research and training. The aim is to create believable social interactions with virtual agents that help the clinician to develop skills in symptom and ability assessment, diagnosis, interview techniques and interpersonal communication. The virtual patient fulfills the requirements of a standardized patient producing consistent, reliable and valid interactions in portraying symptoms and behaviour related to a specific clinical condition.

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Publication Details

Journal
Hochschule Düsseldorf
Published
2024-11-27
DOI
https://doi.org/10.20385/1860-2037/8.2011.3
Citations
20
Primary Topic
Clinical Reasoning and Diagnostic Skills
Type
article
Field-Weighted Citation Impact
1.01
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article

Intelligent Virtual Patients for Training Clinical Skills

Thomas D. Parsons, Patrick Kenny, Albert Rizzo
20 citations
Hochschule Düsseldorf
Clinical Reasoning and Diagnostic Skills
1.01
article

Intelligent Virtual Patients for Training Clinical Skills

Thomas D. Parsons, Patrick Kenny, Albert Rizzo
article en
20 citations

Abstract

The article presents the design process of intelligent virtual human patients that are used for the enhancement of clinical skills. The description covers the development from conceptualization and character creation to technical components and the application in clinical research and training. The aim is to create believable social interactions with virtual agents that help the clinician to develop skills in symptom and ability assessment, diagnosis, interview techniques and interpersonal communication. The virtual patient fulfills the requirements of a standardized patient producing consistent, reliable and valid interactions in portraying symptoms and behaviour related to a specific clinical condition.

Hochschule DüsseldorfVol. 8(3)
University of Southern California (US), California Southern University (US)
Quality Education
Openalex Percentile: Top 26%
Clinical Reasoning and Diagnostic Skills
1.01
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