Abstract
Abstract
This poster presents a theoretically grounded, AI-integrated simulation program design structured across 3-4 semesters of Family Nurse Practitioner (FNP) and Doctor of Nursing Practice (DNP) education. This program is designed to support the development of clinical judgment and diagnostic reasoning among FNP students. Guided by Tanner’s Clinical Judgment Model and Roy's Adaptive Model as Theoretical Framework. The program addresses identified gaps in differential diagnosis and role transition from Registered Nurse (RN) to FNP practice. A needs assessment informed the development of a semester-sequenced curricular framework integrating AI-supported simulation across four semesters. The proposed design illustrates how progressive simulation experiences may support the application of knowledge and preparation for advanced practice decision-making.
Faculty Advisor
Dr.Michelle VanDerWege
Department/Program
Nursing
Submission Type
online only poster
Date
3-31-2026
Rights
Copyright the Author(s) Doris K Gonzales, DNP, MSN, FNP-BC, CNP
Recommended Citation
Gonzales, Doris K.
(2026)
"Integrating Artificial Intelligence into FNP/DNP Simulation to Enhance Clinical Competency,"
SACAD: Scholarly Activities: Vol. 2026, Article 140.
Available at:
https://scholars.fhsu.edu/sacad/vol2026/iss2026/140
Handout
Included in
Family Practice Nursing Commons, Other Nursing Commons, Scholarship of Teaching and Learning Commons
