UTMB Faculty Senate Minutes
Monday, August 12, 2024
Teams Virtual Meeting
4:30 PM-6:00 PM
Open Senate Meeting:
Call to Order – Shannan Rossi, PhD, MBA, Faculty Senate Chair
Attendance “Roll Call” & Establishing Quorum
- GSBS – Dr. Maureen Laroche
- JSSOM – Dr. Kelly Carmichael
- SHP – Dr. Crystal Douglas
- SPPH – Dr. Sharon Croisant
- SON – Dr. Shinu Joy
Agenda Adoption: Consent Agenda Adoption – Approved
Review & Approval of Minutes– July minutes are approved and uploaded to Faculty Senate website.
Guest Speakers
Peter McCaffrey, MD, MS, FCAP & Salim Hayek, MD
Topic: AI as a Catalyst: Elevating UTMB to New Heights by Leading in AI Mastery and Innovation.
- Artificial Intelligence in Healthcare:
- Enable the highest standards of specialty care
- Understand and manage personalized care
- Simplify scheduling, prescription refills, telemedicine and more
- Automate and eliminate paperwork
- Brief Historical Review:
- Perceptron in 1958, backpropagation in 1980’s, Convolutional Nets (LeNET) 1990’s
- Convergence of compute, data access, and software tooling blew up AI in 2010’s
- Advent of Transformers in 2017
- Modern Generative AI in 2020’s
- Generative AI:
- Long-range interactions with modifiable context makes models adaptable
- Paradigm shift toward zero- or few-shot use cases
- Language, Image, Video, Audio and multi-modal
- Robust tooling for prompt development and testing, for agent deployment, for dialogue, and for data retrieval
- Strategy and Initiatives: 7 Pillars of UTMB’s AI Strategy
- Drive Volume to Care Pathways
- Embed UTMB in Important Consortia and Coalitions
- TRAIN, CHAI (assurance lab)
- Alleviate Administrative Burden
- Power CoPilot(Mark Schultze), scheduling in Find-a-Doctor (Mark Schultzwe), Billing/Documentation (Salin/Leah), IHOP Search/Chat (Salim/Shane)
- Develop AI Expertise/Engagement by Opening Co-Pilots Across the Enterprise.
- Qualified Health, Proptathons, Prompt Focus Groups, AI Rounds, Innovation Team
- Make Enterprise Data Accessible to AI
- FHIR connection (George), Engineering Lab (Vineet), Fax Document Stream (Mark Schultze)
- Bring UTMB Near to Commercialization Activity
- Accelerator partnerships (Vineet), Qualified, and Innovation Team
- Protect UTMB against AI Misuse and Liability
- Utmb.edu/ai with prompt training, policies
- AI Addresses the Common Bottlenecks
- AI is a tool to augment physicians and we desperately need augmentation
- Our goal is to maximize patient health and to focus clinician time directly toward patient care
- Complete vs Marginal Automation
- We often think of AI’s bar as completely performing a human workflow or task: complete automation
- In reality, it can be disruptive even if automating only part of a task or workflow: marginal automation. Most automation is marginal.
- Macro Effects and Valuation of Work
- AI increases case efficiency for Pathologists.
- This will likely impact the RVU model.
- Compensation may regress downwards or shift.
- Either we can find new demand, find new valuation, or we face potential contraction.
- Primary Initiative: Improve ROI
- AI-Enhanced documentation to reduce denials and improve payment
- AI-Guided medical billing, mismatch repair, and provider queries
- AI-driven opportunistic screening and improved Find-a-Doctor for physician search
- UTMB Innovation: AI-Enhanced Notes
- UTMB uses Generative AI to enhance clinical notes
- UTMB is building AI tools focused on billing requirements and clinical guidelines
- Target Outcomes:
- Increase payment rate
- Reduce AR days
- Reduce FTE time in appeals
- Improve Case Mix Index
- Other Initiatives
- Save FTE Time
- Improve IHOP Policy Search
- Perform AI-driven policy analysis (e.g. contradiction)
- Clinical Trial Matching and Abstraction with AI
- Enhance AI Tools and Partnerships
- Launch Secure GPT for pilot users (Qualified Health)
- Launch utmb.edu/ai with governance and safety policies
- Join CHAI (with UT assurance lab) and Microsoft TRAIN
- Strategic Course for AI
- Implementation
- Build, publish and translate
- Partner to accelerate development
- Commercialize early products
- Early site for Epic AIR
- Early site for Microsoft AI
- Thought Leadership
- CHAI and AI assurance labs
- CHAI: 1,500-member coalition across medicine, industry, and regulators.
- Establishes the standards for validating and monitoring AI.
- The “what” for responsible AI.
- Collaborative Case studies
- Core member of MSFT Train
- Microsoft TRAIN: Leading consortium for tools for data sharing and AI monitoring.
- Access to pre-release tools and input on MSFT roadmap.
- The “how” for responsible AI.
- Leaders in UT System AI
- Define and share best practices
- UTMB is Leading in Responsible AI
- UTMB and UT Southwestern are the only UT institutions who are part of Microsoft’s Trustworthy and Responsible AI Network
- UTMB Co-Chairs the UT System AI Collaborative, representing all UT Health Institutions and setting policy for responsible use of AI statewide.
Updates
Reminder:
September 9th - Faculty Senate Annual Meeting
Location: Levin Hall Dining Room
Time: 11:30 am – 1:00 pm
Unfinished Business & General Orders
New Business
- Dr. Claudia Hilton motions to move into executive session. Motion seconded: by Dr. Maureen Laroche
Announcements: None at this time.
Adjournment at 6:00 p.m.