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Status and Recommendations of Technological and Data-Driven Innovations in Cancer Care: Focus Group Study.
Kondylakis, Haridimos; Axenie, Cristian; Kiran Bastola, Dhundy; Katehakis, Dimitrios G; Kouroubali, Angelina; Kurz, Daria; Larburu, Nekane; Macía, Iván; Maguire, Roma; Maramis, Christos; Marias, Kostas; Morrow, Philip; Muro, Naiara; Núñez-Benjumea, Francisco José; Rampun, Andrik; Rivera-Romero, Octavio; Scotney, Bryan; Signorelli, Gabriel; Wang, Hui; Tsiknakis, Manolis; Zwiggelaar, Reyer.
Afiliación
  • Kondylakis H; FORTH-ICS, Heraklion, Greece.
  • Axenie C; Audi Konfuzius-Institut Ingolstadt Lab, Technische Hochschule Ingolstadt, Ingolstadt, Germany.
  • Kiran Bastola D; School of Interdisciplinary Informatics, University of Nebraska, Omaha, NE, United States.
  • Katehakis DG; FORTH-ICS, Heraklion, Greece.
  • Kouroubali A; FORTH-ICS, Heraklion, Greece.
  • Kurz D; Interdisziplinäres Brustzentrum, Helios Klinikum München West, Munich, Germany.
  • Larburu N; Vicomtech, Health Research Institute, San Sebastian, Spain.
  • Macía I; Vicomtech, Health Research Institute, San Sebastian, Spain.
  • Maguire R; University of Strathclyde, Glasgow, United Kingdom.
  • Maramis C; eHealth Lab, Institute of Applied Biosciences - Centre for Research & Technology Hellas, Thessaloniki, Greece.
  • Marias K; FORTH-ICS, Heraklion, Greece.
  • Morrow P; School of Computing, Ulster University, Newtownabbey, United Kingdom.
  • Muro N; Vicomtech, Health Research Institute, San Sebastian, Spain.
  • Núñez-Benjumea FJ; Salumedia Labs & Adhera Health, Inc, Sevilla, Spain.
  • Rampun A; Academic Unit of Radiology, Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom.
  • Rivera-Romero O; Universidad de Sevilla, Seville, Spain.
  • Scotney B; School of Computing, Ulster University, Newtownabbey, United Kingdom.
  • Signorelli G; Salumedia Labs & Adhera Health, Inc, Sevilla, Spain.
  • Wang H; School of Computing and Engineering, University of West London, London, United Kingdom.
  • Tsiknakis M; FORTH-ICS, Heraklion, Greece.
  • Zwiggelaar R; Department of Computer Science, Aberystwyth University, Aberystwyth, United Kingdom.
J Med Internet Res ; 22(12): e22034, 2020 12 15.
Article en En | MEDLINE | ID: mdl-33320099
BACKGROUND: The status of the data-driven management of cancer care as well as the challenges, opportunities, and recommendations aimed at accelerating the rate of progress in this field are topics of great interest. Two international workshops, one conducted in June 2019 in Cordoba, Spain, and one in October 2019 in Athens, Greece, were organized by four Horizon 2020 (H2020) European Union (EU)-funded projects: BOUNCE, CATCH ITN, DESIREE, and MyPal. The issues covered included patient engagement, knowledge and data-driven decision support systems, patient journey, rehabilitation, personalized diagnosis, trust, assessment of guidelines, and interoperability of information and communication technology (ICT) platforms. A series of recommendations was provided as the complex landscape of data-driven technical innovation in cancer care was portrayed. OBJECTIVE: This study aims to provide information on the current state of the art of technology and data-driven innovations for the management of cancer care through the work of four EU H2020-funded projects. METHODS: Two international workshops on ICT in the management of cancer care were held, and several topics were identified through discussion among the participants. A focus group was formulated after the second workshop, in which the status of technological and data-driven cancer management as well as the challenges, opportunities, and recommendations in this area were collected and analyzed. RESULTS: Technical and data-driven innovations provide promising tools for the management of cancer care. However, several challenges must be successfully addressed, such as patient engagement, interoperability of ICT-based systems, knowledge management, and trust. This paper analyzes these challenges, which can be opportunities for further research and practical implementation and can provide practical recommendations for future work. CONCLUSIONS: Technology and data-driven innovations are becoming an integral part of cancer care management. In this process, specific challenges need to be addressed, such as increasing trust and engaging the whole stakeholder ecosystem, to fully benefit from these innovations.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Grupos Focales / Neoplasias Tipo de estudio: Guideline / Qualitative_research Límite: Humans Idioma: En Revista: J Med Internet Res Asunto de la revista: INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: Grecia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Grupos Focales / Neoplasias Tipo de estudio: Guideline / Qualitative_research Límite: Humans Idioma: En Revista: J Med Internet Res Asunto de la revista: INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: Grecia