Large Language Models (LLM) continue to exhibit remarkable capabilities including emergent behavior across the healthcare continuum. Given the size and complexity of LLMs, LLM onboarding and implementation is dictated by needs as well as affordability, that in turn significantly impacts their equitable distribution across diverse healthcare settings including those with limited digital and analytics maturity making this panel timely. This panel will discuss the essential ingredients accompanying LLM implementation including digital readiness, infrastructure and workforce, privacy, ethics and regulatory aspects that can significantly impact LLM implementations. These factors can vary significantly across healthcare organizations challenging a single LLM implementation pathway. Subsequently, the panel will present three LLM onboarding pathways, namely: (a) Training from Scratch Pathway (TSP), (b) Fine-Tuned Pathway (FTP), and (c) Out-of-the-Box Pathway (OBP) as blueprints for equitable distribution and strategic adoption of LLMs by diverse healthcare organizations. Risks, benefits, and economics of LLM implementation across three major enterprise cloud service platforms (Amazon Webservices, Google Cloud Platform, Microsoft Azure) and the critical role of cloud computing in overcoming bottlenecks related to scalable infrastructure, workforce needs, and privacy will be discussed. The panelists will also share their recent efforts on equitable distribution along with case-studies broadly in conversational AI, chatbots, summarization, at Children’s Hospital of Orange County (CHOC) and University of California Irvine Health (UCI Health). While LLMs may have the potential to transform healthcare outcomes, their equitable and strategic adoption may be critical for demonstrating their usefulness and value across healthcare organizations serving diverse communities.
Learning Objectives
- Identify essential ingredients and onboarding pathways for LLM implementation
- Identify essential aspects of AI governance
Moderator
- Radha Nagarajan, PhD (Children's Hospital of Orange County)
Speakers
- Radha Nagarajan, PhD (Children's Hospital of Orange County)
- Emilie Chow, MD (University of California, Irvine)
- Steven Martel, MD (Children's Health of Orange County (CHOC))
- Kenneth Leung, MD, MS (UCI Health)
About CME/CNE Credit
The following information pertains to individual sessions included in the AMIA 2025 Clinical Informatics Conference On Demand product. A total of 16.75 CME/CNE credits may be earned if all sessions are completed.
Continuing Education Credit
Physicians
The American Medical Informatics Association is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.
The American Medical Informatics Association designates this online enduring material for 16.75 AMA PRA Category 1™ credits. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
Claim credit no later than within two years of the release date or within one year of your purchase date, whichever is sooner.
ANNC Accreditation Statement
The American Medical Informatics Association is accredited as a provider of nursing continuing professional development by the American Nurses Credentialing Center's Commission on Accreditation.
- Nurse Planner (Content): Robin Austin, PhD, DNP, DC, RN, NI-BC, FAMIA, FAAN
- Approved Contact Hours: 16.75 participant maximum CME/CNE
ACHIPsTM
AMIA Health Informatics Certified ProfessionalsTM (ACHIPsTM) can earn 1 professional development unit (PDU) per contact hour.
ACHIPsTM may use CME/CNE certificates or the ACHIPsTM Recertification Log to report 2025 CIC sessions attended for ACHIPsTM Recertification.
Claim credit no later than within two years of the release date or within one year of your purchase date, whichever is sooner.