The presenters will participate in a panel discussion focused on the importance of robust mechanisms to capture feedback from frontline clinicians and patient feedback as a core part of generative artificial intelligence (AI) tool co-design and implementation in healthcare settings, as seen in real-world partnerships between healthcare systems, research groups, and private-sector generative AI companies. Using ambient listening documentation tools as use cases—technology where the intimate conversation between patient and clinician forms the key source of data—we will describe current approaches from an industry/healthcare partnership lens to systematically elevate frontline clinician feedback across various phases of implementation, and from the patient advocacy and personal health data transparency lens, offer expert perspectives on the current state, value, and future opportunities to further increase patient voice in generative AI co-design and development. Panelists will share insights on approaches to meaningfully and transparently incorporate feedback in generative AI development cycles. Panelists are clinical informatics and patient leaders representing academic and integrated health systems, alongside industry generative AI partners and leaders in medical record transparency, with experience across both groups in health system-level implementation of EHR and AI innovations. The panel will be an engaging dialogue on how to promote and elevate frontline clinician and patient voices at the vanguard of healthcare AI implementation.
Learning Objectives
- Develop effective strategies, drawing from examples, to elicit, organize, and share clinician and patient feedback on generative AI tools with industry partners during implementation.
Moderator
- Pushpa Raja (VA)
Speakers
- Reema Dbouk, MD (Emory Healthcare)
- Matthew Troup, PA-C (Abridge AI Inc.)
- Chethan Sarabu, MD (Cornell Tech)
- Liz Salmi (Beth Israel Deaconess Medical Center)
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.