Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Artificial Intelligence-Enhanced Remediation: Improving Process and Accreditation Compliance.

Jaclyn M Demeter1,2, Elizabeth H Schmidt1,2

  • 1Jaclyn Demeter, DMS, PA-C, is an assistant professor, College of Pharmacy and Health Sciences, at Butler University, Indianapolis, Indiana.

The Journal of Physician Assistant Education : the Official Journal of the Physician Assistant Education Association
|March 4, 2026
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Student Evaluations of Teaching: Impact of Faculty Race, Ethnicity, and Accent.

The journal of physician assistant education : the official journal of the Physician Assistant Education Association·2025
Same author

Diagnosis and management of axial spondyloarthritis.

JAAPA : official journal of the American Academy of Physician Assistants·2025
Same author

Competency Milestones in a Didactic Curriculum: An Innovative Accreditation Compliance Strategy That Enhances Clinical Readiness.

The journal of physician assistant education : the official journal of the Physician Assistant Education Association·2025
Same author

Recertification through longitudinal assessment for PAs.

JAAPA : official journal of the American Academy of Physician Assistants·2025
Same author

Functional Outcomes Associated With Adjacent-level Ossification Disease 10 Years After Cervical Disc Arthroplasty or ACDF.

Clinical spine surgery·2020

Artificial intelligence (AI) streamlines physician assistant (PA) student remediation by personalizing study plans and reducing faculty workload. AI tools enhance accreditation compliance while supporting, not replacing, faculty-led interventions.

Area of Science:

  • Medical Education
  • Educational Technology
  • Artificial Intelligence in Healthcare

Background:

  • Physician assistant programs face challenges in providing effective remediation due to limited faculty time and resources.
  • Traditional remediation methods can be time-consuming, subjective, and difficult to scale, impacting accreditation compliance.
  • Artificial intelligence (AI) and machine learning offer innovative solutions to enhance remediation practices.

Purpose of the Study:

  • To explore the application of large language models (LLMs) in optimizing the physician assistant (PA) remediation workflow.
  • To assess AI's potential in improving data-driven deficiency identification, personalized learning, and feedback loops within remediation.
  • To evaluate AI's impact on accreditation compliance and faculty efficiency in PA education.

Related Experiment Videos

Main Methods:

  • Utilized large language models (LLMs) with prompt engineering to analyze remediation workflow components.
  • Focused on data-driven deficiency identification, personalized study map generation, and feedback mechanisms.
  • Examined remediation through the lens of Accreditation Review Commission on Education for the Physician Assistant (ARC-PA) standards.

Main Results:

  • Achieved enhanced personalization of remediation plans and significantly reduced faculty time burden.
  • Enabled rapid, comprehensive analysis of student performance data for scalable programmatic improvements.
  • AI effectively tailored study plans, curated resources, designed active learning exercises, and provided formative feedback.
  • Streamlined systematic documentation of remediation artifacts and student outcome evidence.

Conclusions:

  • AI-enhanced remediation offers dual benefits of improved student support and regulatory compliance.
  • Successful AI implementation requires faculty training, adherence to privacy regulations (e.g., FERPA), and human oversight.
  • AI serves as a powerful tool to augment, not replace, faculty-led remediation efforts in PA programs.