Developing Clinical Competence Through Case Presentations With Artificial Intelligence-Driven Simulation

<h2>Abstract</h2> Nurse practitioner students must develop their proficiency in delivering high-quality oral case presentations. It is important to intentionally integrate instruction regarding this fundamental skill into curricula and ensure that learners attain a sufficient level of competence before they enter their clinical experiences. An artificial intelligence-driven virtual simulation was designed to enhance teaching of this skill using the S-Summarize history and physical examination findings, N-Narrow the differential, A-Analyze the differential, P-Probe the preceptor, P-Plan management, S-Select a case-related topic for self-directed learning (SNAPPS) approach. A customized report based on a rubric provided students with meaningful formative feedback regarding their ability to apply and communicate knowledge and demonstrate clinical reasoning. Quantitative and qualitative feedback was included. The experience was well-received overall; the most common student reaction was "helpful."

Authors

Publication Details

Journal
The Journal for Nurse Practitioners
Published
2025-07-01
DOI
https://doi.org/10.1016/j.nurpra.2025.105415
Primary Topic
Simulation-Based Education in Healthcare
Type
article
Field-Weighted Citation Impact
0.00

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article

Developing Clinical Competence Through Case Presentations With Artificial Intelligence-Driven Simulation

Jo Ellen Holt, Angelina Anthamatten, Mary Lauren Pfieffer
The Journal for Nurse Practitioners
Simulation-Based Education in Healthcare
article

Developing Clinical Competence Through Case Presentations With Artificial Intelligence-Driven Simulation

Jo Ellen Holt, Angelina Anthamatten, Mary Lauren Pfieffer
article en

Abstract

<h2>Abstract</h2> Nurse practitioner students must develop their proficiency in delivering high-quality oral case presentations. It is important to intentionally integrate instruction regarding this fundamental skill into curricula and ensure that learners attain a sufficient level of competence before they enter their clinical experiences. An artificial intelligence-driven virtual simulation was designed to enhance teaching of this skill using the S-Summarize history and physical examination findings, N-Narrow the differential, A-Analyze the differential, P-Probe the preceptor, P-Plan management, S-Select a case-related topic for self-directed learning (SNAPPS) approach. A customized report based on a rubric provided students with meaningful formative feedback regarding their ability to apply and communicate knowledge and demonstrate clinical reasoning. Quantitative and qualitative feedback was included. The experience was well-received overall; the most common student reaction was "helpful."

The Journal for Nurse PractitionersVol. 21(7)
U.S. Department of Health and Human Services, Health Resources and Services Administration
Openalex Percentile: Top 78%
Simulation-Based Education in Healthcare
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Developing Clinical Competence Through Case Presentations With Artificial Intelligence-Driven Simulation — Jo Ellen Holt, Angelina Anthamatten, et al. · The Journal for Nurse Practitioners (2025) | TGRS Research Map | TGRS