Programpunkter

The amount of information on Traditional Medicine in Systematized Nomenclature of Medicine – Clinical Terms (SCT), the world’s most comprehensive health terminology, is unclear. The purpose of this study is to address that unclarity and investigate to which extent the concepts of ICD-11-CH26 can be found in SCT.

Review of the potential of using machine learning for the integration of medical data.

We present a study comparing two mediums that can be used to communicate with allophone patients: a speech-enabled phraselator (BabelDr) and telephone interpreting. 

With more than a decade of supporting its customers in their healthcare data standardization efforts, B2i Healthcare publicly launched the Snowray Terminology Service to a global audience. This demonstration will introduce the most important functionalities to future users. Users are welcome to follow along with a free account.During the demonstration, we will cover the processes of creating and publishing new standard resources, including Code Systems, Value Sets and Concept Maps.

The workshop aims at improving the completeness and interoperability of data dictionaries through harmonization and standardization. First, the focus lies on the syntactic and semantic level in order to derive concrete technical specifications and implementations: Based on a comprehensive review of existing standards and data dictionaries in common systems, frequently used attributes were identified. In a second step, a "Minimal Information Model" is discussed, in which typical description fields are listed, terminologically cleaned and arranged in a modular system to enable easy use and user-specific expansion. Crosswalks to existing vocabularies and conventions or to international standards are to be discussed.Practical mapping of your Data Dicitonary is possible as a practical exercise!