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Experiences of Creating Computable Knowledge Tutorials Using HL7 Clinical Quality Language

Authors :
Elisavet Andrikopoulou
Philip Scott
Publication Year :
2022
Publisher :
IOS Press, 2022.

Abstract

Computable knowledge artefact development is challenging and often culminates in the development of unique single usage solutions. Libraries of computable knowledge artefacts have the possibility to enhance the Learning Health System in order to improve the benefits of innovation and the decision making of clinicians. This paper aims to discuss the process of creating the use cases and the tutorial material that would enable students to both understand how the interaction between the dataset and the outcome occurs as well as how HL7 Clinical Quality Language can be used to create artefacts of re-usable code.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........b14a8189a4b79a5af7284d814201b5d9