Artificial Intelligence and the Simulationists

David L. Rodgers; Mathew Needler; Alexander Robinson; Roxie Barnes; Theresa Brosche; Jessica Hernandez; Julie Poore; Paul Vandekoppel; Rami Ahmed

doi:10.1097/SIH.0000000000000747

Artificial Intelligence and the Simulationists

David L. Rodgers, Mathew Needler, Alexander Robinson, Roxie Barnes, Theresa Brosche, Jessica Hernandez, Julie Poore, Paul Vandekoppel, Rami Ahmed

Research output: Contribution to journal › Article › peer-review

Abstract

Summary Statement The recent introduction of ChatGPT, an advanced, easy-to-use, and freely available artificial intelligence (AI) program, created new possibilities across many industries and professions including healthcare simulation. ChatGPT has the potential to streamline healthcare simulation-based education while also providing insights for the scenario development process that conventional case development may miss. However, there are issues related to accuracy, relevance, and structure of the products produced by the ChatGPT AI program. This article examines 2 AI-generated simulation case examples highlighting strengths and weaknesses while providing guidance on the use of ChatGPT as a simulation resource.

Original language	English (US)
Pages (from-to)	395-399
Number of pages	5
Journal	Simulation in Healthcare
Volume	18
Issue number	6
DOIs	https://doi.org/10.1097/SIH.0000000000000747
State	Published - Dec 1 2023

Keywords

Artificial intelligence
scenario design
simulation

ASJC Scopus subject areas

Epidemiology
Medicine (miscellaneous)
Education
Modeling and Simulation

Access to Document

10.1097/SIH.0000000000000747

Cite this

@article{76b00254aa724aa5843e6cb47e1ed61a,

title = "Artificial Intelligence and the Simulationists",

abstract = "Summary Statement The recent introduction of ChatGPT, an advanced, easy-to-use, and freely available artificial intelligence (AI) program, created new possibilities across many industries and professions including healthcare simulation. ChatGPT has the potential to streamline healthcare simulation-based education while also providing insights for the scenario development process that conventional case development may miss. However, there are issues related to accuracy, relevance, and structure of the products produced by the ChatGPT AI program. This article examines 2 AI-generated simulation case examples highlighting strengths and weaknesses while providing guidance on the use of ChatGPT as a simulation resource.",

keywords = "Artificial intelligence, scenario design, simulation",

author = "Rodgers, {David L.} and Mathew Needler and Alexander Robinson and Roxie Barnes and Theresa Brosche and Jessica Hernandez and Julie Poore and Paul Vandekoppel and Rami Ahmed",

note = "Publisher Copyright: {\textcopyright} Lippincott Williams & Wilkins.",

year = "2023",

month = dec,

day = "1",

doi = "10.1097/SIH.0000000000000747",

language = "English (US)",

volume = "18",

pages = "395--399",

journal = "Simulation in Healthcare",

issn = "1559-2332",

publisher = "Lippincott Williams and Wilkins",

number = "6",

}

TY - JOUR

T1 - Artificial Intelligence and the Simulationists

AU - Rodgers, David L.

AU - Needler, Mathew

AU - Robinson, Alexander

AU - Barnes, Roxie

AU - Brosche, Theresa

AU - Hernandez, Jessica

AU - Poore, Julie

AU - Vandekoppel, Paul

AU - Ahmed, Rami

N1 - Publisher Copyright: © Lippincott Williams & Wilkins.

PY - 2023/12/1

Y1 - 2023/12/1

N2 - Summary Statement The recent introduction of ChatGPT, an advanced, easy-to-use, and freely available artificial intelligence (AI) program, created new possibilities across many industries and professions including healthcare simulation. ChatGPT has the potential to streamline healthcare simulation-based education while also providing insights for the scenario development process that conventional case development may miss. However, there are issues related to accuracy, relevance, and structure of the products produced by the ChatGPT AI program. This article examines 2 AI-generated simulation case examples highlighting strengths and weaknesses while providing guidance on the use of ChatGPT as a simulation resource.

AB - Summary Statement The recent introduction of ChatGPT, an advanced, easy-to-use, and freely available artificial intelligence (AI) program, created new possibilities across many industries and professions including healthcare simulation. ChatGPT has the potential to streamline healthcare simulation-based education while also providing insights for the scenario development process that conventional case development may miss. However, there are issues related to accuracy, relevance, and structure of the products produced by the ChatGPT AI program. This article examines 2 AI-generated simulation case examples highlighting strengths and weaknesses while providing guidance on the use of ChatGPT as a simulation resource.

KW - Artificial intelligence

KW - scenario design

KW - simulation

UR - http://www.scopus.com/inward/record.url?scp=85178499786&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85178499786&partnerID=8YFLogxK

U2 - 10.1097/SIH.0000000000000747

DO - 10.1097/SIH.0000000000000747

M3 - Article

C2 - 37747487

AN - SCOPUS:85178499786

SN - 1559-2332

VL - 18

SP - 395

EP - 399

JO - Simulation in Healthcare

JF - Simulation in Healthcare

IS - 6

ER -

Artificial Intelligence and the Simulationists

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this