ITEMAS ontology for healthcare technology innovation

Moreno-Conde, A.; Parra-Calderón, C.L.; Sánchez-Seda, S.; Escobar-Rodríguez, G. A.; López Otero, Marta; Cussó, L.; Del-Cerro-García, R.; Segura-Sánchez, M.; Herrero-Urigüen, L.; Martí-Ras, N.; Albertí-Ibarz, M.; Desco, Manuel

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ITEMAS ontology for healthcare technology innovation

Tipo de documento: Artículo

Versión: Versión publicada

Fecha: 2019

Este documento está asociado a una licencia Creative Commons

Copyright © The Author(s). 2019. Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Nombre: moreno-hrp-item.pdf

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Citación: Moreno-Conde A, Parra-Calderón CL, Sánchez-Seda S, Escobar-Rodríguez GA, López-Otero M, Cussó L, et al. ITEMAS ontology for healthcare technology innovation. Health Res Policy Syst. 2019 May 2;17(1):47. DOI 10.1186/s12961-019-0453-y

Enlace permanente: http://hdl.handle.net/10230/43389

Resumen:

Background: The Platform for Innovation in Medical and Health Technologies (ITEMAS) is a network of 66 healthcare centres focused on fostering innovation in medical and health technologies as an essential tool for increasing the sustainability of the Spanish healthcare system. The present research is focused on defining a formal representation that details the most relevant concepts associated with the creation and adoption of innovative medical technology in the Spanish healthcare system. Methods: The methodology applied is based on the methontology process, including peer-review identification and selection of concepts from the ITEMAS innovation indicators and innovation management system standards. This stage was followed by an iterative validation process. Concepts were then conceptualised, formalised and implemented in an ontology. Results: The ontology defined describes how relationships between employees, organisations, projects and ideas can be applied to generate results that are transferrable to the market, general public and scientific forums. Overall, we identified 136 concepts, 138 object properties and 30 properties in a five-level hierarchy. The ontology was tested and validated as an appropriate framework for calculating the ITEMAS innovation indicators. Conclusions: 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.