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ITEMAS ontology for healthcare technology innovation.

A Moreno-CondeCarlos Luis Parra CalderónS Sánchez-SedaG A Escobar-RodríguezM López-OteroL CussóR Del-Cerro-GarcíaM Segura-SánchezL Herrero-UrigüenN Martí-RasM Albertí-IbarzM Desco
Published in: Health research policy and systems (2019)
The consensus concepts were expressed in the form of an ontology to be used as a single communication format between the members of the ITEMAS network. Healthcare centres can compare their innovation results and obtain a better understanding of their innovation context based on the reasoning techniques of artificial intelligence. As a result, they can benefit from advanced analytical capabilities to define the most appropriate innovation policies for each centre based on the common experience of the large number of healthcare centres involved. The results can be used to create a map of agents and knowledge to show capabilities, projects and services provided by each of the participating centres. The ontology could also be applied as an instrument to match needs with existing projects and capabilities from the community of organisations working in healthcare technology innovation.
Keyphrases
  • healthcare
  • artificial intelligence
  • machine learning
  • big data
  • public health
  • deep learning
  • mental health
  • primary care
  • quality improvement
  • clinical practice
  • mass spectrometry