Nursing-Registered Nursing - AS.NRN
Download as PDF
Additional Information
Local Information
Catalog Description
The Hartnell College Associate Degree in Nursing (ADN) is a defined group of pre-requisite and co-requisite courses that prepares students to become registered nurses. The four-semester course of study consists of classroom, high-fidelity simulation, nursing skills laboratory, seminar, interprofessional, and clinical experiences. While enrolled in the associate degree program, Hartnell students may enroll in transfer level courses that meet requirements for a Bachelor's of Science degree in nursing. Graduates are eligible to take the National Council Licensure Examination for Registered Nurses (NCLEX-RN). After passing the licensure examination, graduates may practice as registered nurses in a variety of acute and community based settings. Graduates demonstrate the leadership and comportment required for a professional nurse committed to competence, caring, collaboration, and curiosity, while providing safe, quality nursing care to diverse individuals in various care settings. The Hartnell College ADN Program is fully approved by the California Board of Registered Nursing (BRN) and is accredited by the Accreditation Commission for Education in Nursing (ACEN).
Degree
AS - Associate in Science
Program Goal
CTE
Upon completion of this course, students will be able to:
Outcome
incorporate leadership, management, and legal-ethical principles to guide practice as a professional nurse.
Outcome
apply increasingly complex nursing judgement and theoretical concepts when providing safe nursing care to diverse individuals across the lifespan in a variety of settings.
Outcome
integrate caring into relationships and nursing interventions that positively influence health outcomes and demonstrate sensitivity to the values of others.
Outcome
communicate and collaborate with members of the interprofessional healthcare team to coordinate care and optimize health outcomes.
Outcome
model a spirit of inquiry when examining data, challenging the status quo, questioning underlying assumptions, and offering new insights to improve the quality of care.