Experiences of creating computable knowledge tutorials using HL7 Clinical Quality Language

Elisavet Andrikopoulou*, Philip Scott

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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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.
Original languageEnglish
Title of host publicationDigital Professionalism in Health and Care
Subtitle of host publicationDeveloping the Workforce, Building the Future
EditorsPhilip Scott, John Mantas, Arriel Benis, Ivana Ognjanovic, Kaija Saranto, Andrew Ware, Ian Wells, Parisis Gallos
PublisherIOS Press
Pages92-96
ISBN (Electronic)9781643683119
ISBN (Print)9781643683102
DOIs
Publication statusPublished - 5 Sep 2022
EventEFMI Special Topic Conference 2022 -
Duration: 7 Sep 20228 Sep 2022
https://www.stc2022.org/

Publication series

NameStudies in Health Technology and Informatics
PublisherIOS Press
Volume298
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

ConferenceEFMI Special Topic Conference 2022
Period7/09/228/09/22
Internet address

Keywords

  • Clinical Quality Language
  • tutorial
  • computable knowledge
  • artefact

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