AI Article Synopsis
- The term "virtual patients" (VPs) has inconsistent definitions in academic literature, leading to a need for better categorization, particularly in healthcare education.
- A literature review identified 536 articles from 1991 to 2013, with 330 focused on educational uses of VPs, primarily categorized into Interactive Patient Scenarios (37%), High Fidelity Software Simulations (19%), and Virtual Standardized Patients (16%).
- Despite advancements in technology, Interactive Patient Scenarios remain the dominant form of educational VPs, highlighting the necessity for clear communication among developers and researchers to avoid confusion.
Article Abstract
Background: The term "virtual patients" (VPs) has been used for many years in academic publications, but its meaning varies, leading to confusion. Our aim was to investigate and categorize the use of the term "virtual patient" and then classify its use in healthcare education.
Methods: A literature review was conducted to determine all articles using the term "virtual patient" in the title or abstract. These articles were categorized into: Education, Clinical Procedures, Clinical Research and E-Health. All educational articles were further classified based on a framework published by Talbot et al. which was further developed using a deductive content analysis approach.
Results: 536 articles published between 1991 and December 2013 were included in the study. From these, 330 were categorized as educational. Classifying these showed that 37% articles used VPs in the form of Interactive Patient Scenarios. VPs in form of High Fidelity Software Simulations (19%) and Virtual Standardized Patients (16%) were also frequent. Less frequent were other forms, such as VP Games. Analyzing the literature across time shows an overall trend towards the use of Interactive Patient Scenarios as the predominant form of VPs in healthcare education.
Conclusions: The main form of educational VPs in the literature are Interactive Patient Scenarios despite rapid technical advances that would support more complex applications. The adapted classification provides a valuable model for VP developers and researchers in healthcare education to more clearly communicate the type of VP they are addressing avoiding misunderstandings.
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4318546 | PMC |
| http://dx.doi.org/10.1186/s12909-015-0296-3 | DOI Listing |
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