8th Annual Advanced Practice Providers (APP) Conference
The conference is a comprehensive, impactful educational program designed for nurse practitioners, physician assistants, clinical nurse specialists, CRNAs, and physicians. This conference will explore current best practices and emerging innovations across a wide spectrum of acute and chronic care settings. Attendees will benefit from a series of expert-led lectures, evidence-based case discussions, and policy focused sessions aimed at enhancing clinical expertise, advancing knowledge of healthcare innovations, and fostering interprofessional collaboration. Key topics will include complex patient management, pharmacological updates, the integration of artificial intelligence in clinical practice, and interprofessional teamwork strategies. Participants will leave with practical solutions, advanced clinical knowledge, and the leadership skills necessary to enhance patient care and drive innovation in the ever-evolving healthcare landscape.
Registration
In-Person Attendance Fees
- $50 UCLA Learner*
- $75 Non-UCLA Learner
*UCLA rate is available only to active UCLA employees, faculty, or students
Recharge Payment Information
Registration payment can be submitted via the Interdepartmental recharge system.
For more details, please refer to document here: Recharge Information
Refunds
Cancellations must be received via email to ccpd@mednet.ucla.edu by Sunday, August 30, 2026, and will be subject to a $25 processing fee. No refunds will be granted after that date. David Geffen School of Medicine at UCLA reserves the right to cancel or postpone this course if necessary; in the event of cancellation, course fees will be fully refunded to the original form of payment. We are not responsible for other costs, such as non-refundable airline tickets or hotel penalties.
Course Recording
The course will not be recorded.
Target Audience
Specialties - Family Medicine, Internal Medicine, Pediatrics
Professions - Advanced Practice Nurse, Certified Registered Nurse Anesthetist, Fellow/Resident, Medical Student, Nurse Anesthetists, Physician, Physician Assistant
Objectives
At the conclusion of this activity, learners will be able to:
- Analyze the implications of artificial intelligence (AI) in healthcare, including effects on patient care, care delivery, costs, diagnostic accuracy, personalized treatment, and ethical considerations.
- Apply interdisciplinary collaboration principles using evidence-based and case-based learning approaches.
- Apply integrated care models to improve care coordination and continuity across varied healthcare settings.
- Analyze recent healthcare policy developments and their impact on advanced practice roles and healthcare delivery systems.
- Design culturally responsive strategies that address the needs of diverse patient populations (e.g., language, health literacy, social determinants of health) and integrate them into a clinical or organizational care plan to promote patient-centered care.
- Formulate leadership approaches to lead change and drive innovation within scope of practice.
- Translate evidence-based insights from expert-led sessions into actionable improvements in clinical practice.
- Evaluate emerging healthcare technologies and assess their implications for practice.
Accreditation
The David Geffen School of Medicine at UCLA is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.
The David Geffen School of Medicine at UCLA designates this live activity for a maximum of 7.25 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
The California State Board of Registered Nursing accepts courses approved by the AMA PRA Category 1 Credits™ as meeting the continuing education requirements for license renewal. Nurses from states other than California should inquire with their local State Board for specific continuing education policies.
