CTS Ontology Workshop 2023
Ontologies, AI and Electronic Health Records
More about the Clinical and Translational Science Ontology Group (CTSOG) and previous meetings.
Feb 23 - 24, 2023 - Charleston, SC
Background
The Clinical and Translational Science Ontology Group (CTSOG) invites you to join us February 23-24, 2023, in Charleston, SC to discuss the role of ontologies in improving electronic health records (EHR) systems by advancing semantic interoperability, translational research, and artificial intelligence (AI). As health data increases in volume and complexity, and artificial intelligence applications gain momentum, the need for careful planning and interoperability becomes more critical. The purpose of this workshop is to explore new paradigms in EHRs, by examining successes and failures of ontologies and AI in different areas of biomedicine and their role in equitable healthcare.
Themes
- Improving the EHR with ontologies and with AI
- The functions of the EHR and other healthcare documents
Special Focus Areas:
- Social Determinants of Health
- Mental health
- EHR across the lifespan
Organizers
Workshop Co-organizers:
Bill Hogan, Jihad Obeid, Barry Smith
CTSOG Co-chairs:
Bill Hogan (University of Florida College of Medicine, Gainesville, FL), hoganwr@ufl.edu
Barry Smith (University at Buffalo, Buffalo, NY), phismith@buffalo.edu
Sponsors
- Medical University of South Carolina and the Biomedical Informatics Center
- Others (coming soon)
Venue
Biomedical Informatics Center
Medical University of South Carolina
Address: 22 Westedge St, Charleston, SC 29403
Directions: From Courtyard Marriott on Lockwood
- 10 minute walk, 0.4 miles, safe crosswalks along the route
- Hotel shuttle – runs periodically, need to ask hotel desk for timing details.
Paid parking:
- Parking deck at 10 WestEdge (building before 22 WestEdge, with Publix on bottom floor)
- App-based parking next to 22 WestEdge building (signage with instructions posted onsite)
Hotel
Courtyard by Marriott Charleston Waterfront
Address: 35 Lockwood Dr, Charleston, SC 29401
Phone: (843) 722-7229
Feb. 24-25 reservation link (use this link if you are extending your stay in Charleston through the weekend)
If you have any issues registering, please call the hotel directly at 843-722-7229 and mention you are visiting for the CTSA Ontology meeting.
Registration
However, registration is required for planning purposes. Please register for the workshop using this form.
Speakers
- Barry Smith: The Current State of Ontology In Clinical and Translational Science.
- Justin Reese: Leveraging the Human Phenotype Ontology for an ML Approach to Identify Long COVID.
- William Hogan: Semantic Representation of Occupations as Social Determinants of Health.
- Yonghui Wu: A large language model for electronic health records. Abstract: Natural language processing (NLP) powered by pretrained language models is the key technology for medical AI systems utilizing clinical narratives. We develop from scratch a large clinical language model—GatorTron—using >90 billion words of text (including >82 billion words of de-identified clinical text). GatorTron models scale up the clinical language model from 110 million to 8.9 billion parameters and improve five clinical NLP tasks, which can be applied to medical AI systems to improve healthcare delivery.
Agenda
Thursday Feb 23rd
09:00-09:30a Breakfast and Networking
09:30-10:45a Working sessions/Presentations
--break--
11:00-12:30p Working sessions/Presentations
12:30-01:00p Networking and Working Lunch
1:00-03:15p Working sessions/Presentations
--break--
03:30-5:00p Working sessions/Presentations
Friday Feb 24th
09:00-09:30a Breakfast and Networking
09:30-10:45a Working sessions/Presentations
--break--
11:00-12:30p Working sessions/Presentations
12:30-01:00p Networking and Working Lunch
1:00-03:15p Working sessions/Presentations
--break--
03:30-5:00p Working sessions/Presentations
Participants
- Barry Smith, co-organizer, University at Buffalo
- William Hogan, co-organizer, University of Florida
- Jihad Obeid, co-organizer, Medical University of South Carolina
- Jobst Landgrebe, University at Buffalo
