CTS Ontology Workshop 2023: Difference between revisions

From NCOR Wiki
Jump to navigationJump to search
No edit summary
No edit summary
Line 9: Line 9:
== '''Background''' ==
== '''Background''' ==


'''The Clinical and Translational Science Ontology Group (CTSOG)''' invites you to join us March 16-18, 2022 in Orlando, Florida to discuss AI, Complex Systems in Biomedicine, and the role of ontology both in tempering the expectations of AI and advancing it to goals it can achieve.  For example, we hear things all the time like “Google’s deep-learning program for determining the 3D shapes of proteins stands to transform biology, say scientists.”  An optimism of this sort as to the potential of AI is shared by many working in the field of clinical and translational science. The purpose of this workshop is to explore the basis for this optimism, by looking at successes and failures of AI in different areas of biomedicine.
'''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''' ==
== '''Themes''' ==

Revision as of 21:12, 5 January 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
Retrieved from "https://ncorwiki.buffalo.edu/index.php?title=CTS_Ontology_Workshop_2023&oldid=73251"