↓ Skip to main content

Web-Based Immersive Virtual Patient Simulators: Positive Effect on Clinical Reasoning in Medical Education

Overview of attention for article published in Journal of Medical Internet Research, November 2015
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)

Mentioned by

twitter
7 X users
facebook
4 Facebook pages

Citations

dimensions_citation
45 Dimensions

Readers on

mendeley
147 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Web-Based Immersive Virtual Patient Simulators: Positive Effect on Clinical Reasoning in Medical Education
Published in
Journal of Medical Internet Research, November 2015
DOI 10.2196/jmir.5035
Pubmed ID
Authors

Robert Kleinert, Nadine Heiermann, Patrick Sven Plum, Roger Wahba, De-Hua Chang, Martin Maus, Seung-Hun Chon, Arnulf H Hoelscher, Dirk Ludger Stippel

Abstract

Clinical reasoning is based on the declarative and procedural knowledge of workflows in clinical medicine. Educational approaches such as problem-based learning or mannequin simulators support learning of procedural knowledge. Immersive patient simulators (IPSs) go one step further as they allow an illusionary immersion into a synthetic world. Students can freely navigate an avatar through a three-dimensional environment, interact with the virtual surroundings, and treat virtual patients. By playful learning with IPS, medical workflows can be repetitively trained and internalized. As there are only a few university-driven IPS with a profound amount of medical knowledge available, we developed a university-based IPS framework. Our simulator is free to use and combines a high degree of immersion with in-depth medical content. By adding disease-specific content modules, the simulator framework can be expanded depending on the curricular demands. However, these new educational tools compete with the traditional teaching OBJECTIVE: It was our aim to develop an educational content module that teaches clinical and therapeutic workflows in surgical oncology. Furthermore, we wanted to examine how the use of this module affects student performance. The new module was based on the declarative and procedural learning targets of the official German medical examination regulations. The module was added to our custom-made IPS named ALICE (Artificial Learning Interface for Clinical Education). ALICE was evaluated on 62 third-year students. Students showed a high degree of motivation when using the simulator as most of them had fun using it. ALICE showed positive impact on clinical reasoning as there was a significant improvement in determining the correct therapy after using the simulator. ALICE positively impacted the rise in declarative knowledge as there was improvement in answering multiple-choice questions before and after simulator use. ALICE has a positive effect on knowledge gain and raises students' motivation. It is a suitable tool for supporting clinical education in the blended learning context.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 <1%
Brazil 1 <1%
Unknown 145 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 12%
Researcher 15 10%
Student > Doctoral Student 14 10%
Student > Bachelor 14 10%
Lecturer 12 8%
Other 33 22%
Unknown 41 28%
Readers by discipline Count As %
Medicine and Dentistry 40 27%
Social Sciences 15 10%
Computer Science 10 7%
Psychology 10 7%
Nursing and Health Professions 9 6%
Other 14 10%
Unknown 49 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 January 2016.
All research outputs
#6,755,994
of 25,382,440 outputs
Outputs from Journal of Medical Internet Research
#4,188
of 7,867 outputs
Outputs of similar age
#94,329
of 392,680 outputs
Outputs of similar age from Journal of Medical Internet Research
#51
of 64 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 7,867 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.8. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 392,680 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.