gms | German Medical Science

Gesundheit – gemeinsam. Kooperationstagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS), Deutschen Gesellschaft für Sozialmedizin und Prävention (DGSMP), Deutschen Gesellschaft für Epidemiologie (DGEpi), Deutschen Gesellschaft für Medizinische Soziologie (DGMS) und der Deutschen Gesellschaft für Public Health (DGPH)

08.09. - 13.09.2024, Dresden

Inclusive Design Thinking for the Development of Digital Health Applications: A Methodology Review

Meeting Abstract

Search Medline for

  • Mark Riede - Faculty of Informatics, Wilhelm Büchner University, Darmstadt, Germany
  • Rüdiger Breitschwerdt - Faculty of Informatics, Wilhelm Büchner University, Darmstadt, Germany
  • Jan-David Liebe - Health Informatics Research Group, Osnabrück University of Applied Sciences, Osnabrück, Germany

Gesundheit – gemeinsam. Kooperationstagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS), Deutschen Gesellschaft für Sozialmedizin und Prävention (DGSMP), Deutschen Gesellschaft für Epidemiologie (DGEpi), Deutschen Gesellschaft für Medizinische Soziologie (DGMS) und der Deutschen Gesellschaft für Public Health (DGPH). Dresden, 08.-13.09.2024. Düsseldorf: German Medical Science GMS Publishing House; 2024. DocAbstr. 735

doi: 10.3205/24gmds064, urn:nbn:de:0183-24gmds0645

Published: September 6, 2024

© 2024 Riede et al.
This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 License. See license information at http://creativecommons.org/licenses/by/4.0/.


Outline

Text

Inclusive Design Thinking (IDT) is an approach that specifically addresses disadvantaged user groups and involves them in the innovation process. In recent years, IDT has emerged as a particularly promising approach for increasing citizen and patient engagement in the development of digital health applications. Although IDT is based on existing frameworks of design thinking and human-centered design approaches, there is still no overview of its methods for digital health solutions. Our aim was to develop such a systematic overview of the methods used, aligned with the design process, and thereby facilitate the practical application of IDT. 44 IDT methods could have been consolidated and assigned to the phases of the IDT process. This work provides the first systematic overview of IDT methods used for Digital Health (DH). Future work could expand on this and, for example, investigate the effectiveness of the methods in more detail.

The authors declare that they have no competing interests.

The authors declare that an ethics committee vote is not required.