OBSERVING KNOWLEDGE ORGANIZATION TRAJECTORIES IN HEALTHCARE
Home care nursing information behavior: expansion of a knowledge base in a time of pandemic
By Richard P. Smiraglia, Edmund Pajarillo, Elizabeth Milonas & Sergey Zherebchevsky
Making healthcare data FAIR data: the ontologies-data models-instances conundrum
By Ronald Cornet
Exchange of healthcare data is crucial for providing adequate care, for monitoring the quality of provided care, and to improve healthcare by research on observational data. For these, healthcare data need to be of good quality, and as much as possible structured and standardized according to agreed-upon data models and ontologies. Increasingly, healthcare data is represented using ontologies such as SNOMED CT. This is of great value in well-delineated areas of healthcare records, such as diagnosis or procedures. However, the benefit of reasoning by using the OWL language is underutilized, and essential for application of ontologies on the broader scale of healthcare data. This talk summarized the content and structure of SNOMED CT, described its current use in healthcare records, and concluded with the further steps needed to establish truly interoperable healthcare data, to pave the way towards FAIR healthcare data.
The event took place over Zoom. There were 35 attendees from 20 countries.
The UK Chapter of the International Society for Knowledge Organization
© ISKO UK 2021