Evidence map›Paper›PMID 33086367›Full record

ArticleSimulation in healthcare : journal of the Society for Simulation in Healthcare2021

Development of a Smartphone-Based Skin Simulation Model for Medical Education.

Roshan Dsouza, Darold R Spillman, Scott Barrows, Thomas Golemon, Stephen A Boppart

Abstract read
In one paragraph

Article in Simulation in healthcare : journal of the Society for Simulation in Healthcare, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. The Triple-S framework: ensuring scalable, sustainable, and serviceable practices in educational technology.International journal of educational technology in higher education · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Roshan DsouzaFrom the Beckman Institute for Advanced Science and Technology (R.D., D.R.S., S.A.B.), University of Illinois at Urbana-Champaign, Urbana; Medical Visualization (S.B., T.G.), Jump Trading Simulation & Education Center/OSF Innovation; University of Illinois College of Medicine Peoria (S.B., T.G.), Peoria; Biomedical Visualization (S.B.), University of Illinois at Chicago Medical Center, Chicago; and Department of Bioengineering (S.A.B.), Department of Electrical and Computer Engineering (S.A.B.), and Carle Illinois College of Medicine (S.A.B.), University of Illinois at Urbana-Champaign, Urbana, IL.
Darold R Spillman
Scott Barrows
Thomas Golemon
Stephen A Boppart

Funding

Partnership for Primary Care Imaging of the EarR01EB013723 · NIBIB · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BOPPART, STEPHEN A · 2011 to 2018
$6.4M
Intraoperative Polarization-Sensitive OCT for Assessing Breast Tumor MarginsR01CA213149 · NCI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BOPPART, STEPHEN A · 2017 to 2021
$2.4M
NCI NIH HHS R01 CA213149NIBIB NIH HHS R01 EB013723
6 · The paper itself

Abstract

introductionTeaching dermatology to medical students entails a series of lectures, pictures, and hands-on skin examinations to convey a sense of skin features and textures, often by use of simulated skin models. However, such methods can often lack accurate visual and tactile texture representation of skin lesions. To facilitate learning, we have developed a smartphone-based skin simulation model, which provides a configurable visual and tactile sense of a lesion by using the ubiquitous availability of smartphone-based mobile platforms.

methodsA polydimethylsiloxane (PDMS) overlay was used as a configurable translucent elastomer material to model the stiffness and texture of skin. A novel custom smartphone-based app was developed to capture images of various skin lesions, which were subsequently displayed on a tablet or second smartphone, over which the PDMS model skin elastomer was placed. Using the local Bluetooth connection between mobile devices, an iterative feedback algorithm corrected the visual distortion caused by the optical scattering of the translucent elastomer, enabling better virtual visualization of the lesion.

resultsThe developed smartphone-based app corrected the distortion of images projected through the simulated skin elastomer. Surface topography of the developed PDMS elastomer provided a more accurate representation of skin texture.

conclusionsIn this investigation, we developed a smartphone-based skin lesion visualization app with a simulated skin elastomer for training/education in not only dermatology but also all general medical specialties that examine the skin. This technique has the potential to advance the educational experience by giving students the ability to see, touch, and feel pragmatic skin textures and lesions.

Indexed as

Education, MedicalMobile ApplicationsStudents, MedicalComputer SimulationHumansSmartphone

Identifiers

PMID33086367
PMCPMC8580374

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.