Project

Back to overview

Digital Health Innovation: a Governance Roadmap for Switzerland (D-GOVmap)

English title Digital Health Innovation: a Governance Roadmap for Switzerland (D-GOVmap)
Applicant Vayena Effy (Eftychia)
Number 187356
Funding scheme NRP 77 Digital Transformation
Research institution Institut für Epidemiologie, Biostatistik und Prävention Universität Zürich
Institution of higher education ETH Zurich - ETHZ
Main discipline Public Health and Health Services
Start/End 01.04.2020 - 31.03.2023
Approved amount 597'416.00
Show all

Keywords (11)

machine learning; medical devices; biomedical research; algorithms ; ethics; governance; artificial intelligence; innovation; bioethics; public health; digital health

Lay Summary (French)

Lead
La médecine est sur le point de faire face à une révolution numérique qui pourrait changer la façon dont nous pensons à la santé humaine et dont nous en prenons soin. Ce projet vise à créer un plan d'action politique pour soutenir cette transformation et assurer un progrès durable et équitable au profit de tous.
Lay summary

Contenu et objectifs du travail de recherche 

Au cours des deux dernières décennies, l'innovation numérique a transformé pratiquement tous les types d'activités humaines. Ces dernières années, les chercheurs et les industries explorent le potentiel des outils numériques pour améliorer la santé humaine, par exemple par l'utilisation de données massives et de l'intelligence artificielle. L'impact d'une telle transformation numérique de la médecine est prometteur, mais encore empreint d'incertitudes. Les soins de santé deviendront-ils moins coûteux ? L'innovation numérique profitera-t-elle à toutes les couches de la population ? De quoi la Suisse a-t-elle besoin pour tirer profit de ces tendances innovantes ?

Ce projet répondra à ces questions en identifiant le potentiel et les besoins de la Suisse en tant que contributeur à l'innovation numérique en matière de santé et créera une feuille de route suggérant ce que les décideurs politiques peuvent faire dans ce pays pour s'assurer que la population suisse bénéficiera de la transformation numérique de la médecine. 

 

Contexte scientifique et social du projet de recherche

Ceci est un projet de sciences sociales appliquées. Nos méthodes comprennent à la fois des outils établis et des approches plus innovantes. Le projet s'appuie sur l'expérience et les connaissances de certains des principaux acteurs du paysage de l'innovation numérique en médecine. Notre objectif premier est de contribuer de manière tangible et concrète à l'innovation responsable en Suisse dans un domaine aussi important que la santé humaine. 

 

Direct link to Lay Summary Last update: 04.02.2020

Responsible applicant and co-applicants

Employees

Publications

Publication
Digital Contact Tracing Against COVID-19 in Europe: Current Features and Ongoing Developments
Blasimme Alessandro, Ferretti Agata, Vayena Effy (2021), Digital Contact Tracing Against COVID-19 in Europe: Current Features and Ongoing Developments, in Frontiers in Digital Health, 3, 1.
Explainability for artificial intelligence in healthcare: a multidisciplinary perspective
Amann Julia, Blasimme Alessandro, Vayena Effy, Frey Dietmar, Madai Vince I. (2020), Explainability for artificial intelligence in healthcare: a multidisciplinary perspective, in BMC Medical Informatics and Decision Making, 20(1), 310-310.
What's next for COVID-19 apps? Governance and oversight
Blasimme Alessandro, Vayena Effy (2020), What's next for COVID-19 apps? Governance and oversight, in Science, 370(6518), 760-762.

Collaboration

Group / person Country
Types of collaboration
University of Twente (Prof. Saghai) Netherlands (Europe)
- in-depth/constructive exchanges on approaches, methods or results
- Exchange of personnel
IEO (Milan) Italy (Europe)
- in-depth/constructive exchanges on approaches, methods or results
Health Ethics and Policy Lab (ETH) Switzerland (Europe)
- in-depth/constructive exchanges on approaches, methods or results
- Publication
Politecnico di Milano (Prof. Schiaffonati) Italy (Europe)
- Publication
Institute for Machine Learning ETH Switzerland (Europe)
- in-depth/constructive exchanges on approaches, methods or results
- Publication
H2030 Genome Center Switzerland (Europe)
- in-depth/constructive exchanges on approaches, methods or results
Swissmedic Switzerland (Europe)
- in-depth/constructive exchanges on approaches, methods or results

Scientific events

Active participation

Title Type of contribution Title of article or contribution Date Place Persons involved
ZHAW/CLAIRE event: Digital Tools against Covid-19 Individual talk Digital Toos against COVID-19: ethcal issues 15.06.2021 Zurich, Switzerland Vayena Effy (Eftychia);
2nd Global Health Forum (WHO) Talk given at a conference Digital Health: Disruption and Innovation 02.06.2021 Geneva, Switzerland Vayena Effy (Eftychia);
Lider Lab – Scuola Superiore Sant’Anna di Pisa Talk given at a conference Advancing Digital Health Governance 15.02.2021 Pisa, Italy Blasimme Alessandro;
AAAS Annual meeting Talk given at a conference Public Engagement and the Governance of Science 11.02.2021 Online, United States of America Blasimme Alessandro;
Virtual High-Level Conference Digital Health 2020 – EU on the Move Individual talk Towards a patient-centred use of artificial intelligence 11.11.2020 Online, Switzerland Vayena Effy (Eftychia);
15th Berlin Debate / Robert Bosch Stiftung Talk given at a conference AI ethics and policy 07.11.2020 Berlin, Germany Vayena Effy (Eftychia);
International conference on ‘Conceptual and methodological aspects of biomedical research Talk given at a conference Interpreting medical algorithms: opacity, explainability and the epistemology of future medicine 29.10.2020 Prague, Czech Republic Blasimme Alessandro;
World Health Summit 2020 Individual talk A Call to Action for Health Data Governance 25.10.2020 Berlin, Germany Vayena Effy (Eftychia);
Symposium on Responsible Research and Innovation Individual talk Ethics and responsibility in artificial intelligence 07.05.2020 Roma, Italy Blasimme Alessandro;


Self-organised

Title Date Place
Innovative regulation for digital healthcare 31.03.2021 Online, Switzerland

Knowledge transfer events

Active participation

Title Type of contribution Date Place Persons involved
Liveupdate 4.0 (Swissmedic) Talk 28.06.2021 Online, Switzerland Landers Constantin;
Basel DayOne - data scenario building - stakeholder workstream Performances, exhibitions (e.g. for education institutions) 01.03.2021 Online, Switzerland Landers Constantin;


Associated projects

Number Title Start Funding scheme
167223 BEHALF - Bigdata-Ethics-HeaLth Framework 01.09.2017 NRP 75 Big Data

Abstract

Digital health is a commonly used umbrella term encompassing the whole spectrum of ways in which digitalization, data collection and data analytics are pushing medicine in as yet uncharted territories. The digital transformation of medicine, far from being a form of spontaneous technological innovation, is a complex socio-technical phenomenon that must be accompanied by equally innovative governance approaches. In order to ensure the ethically and socially robust development of digital health, policy makers will need to take evidence-based decisions and set up governance mechanisms inspired by ad hoc models. Good governance in this burgeoning field of technological innovations must align the needs of patients, developers, healthcare professionals and payers and must accommodate deeply felt societal expectations for responsible digital innovation. Drawing on the applicants’ expertise in digital health, health ethics and policy, public health and big data our project will produce a national policy roadmap for digital health innovation in Switzerland. To this aim, this project will rely on a recently developed adaptive governance framework, that offers a systemic oversight approach based on six principles: adaptivity, flexibility, inclusiveness, reflexivity, responsiveness and monitoring (AFIRRM). The AFIRRM framework provides the foundations for ethically sensitive and socially responsible governance of big data applications in the biomedical domain. Evidence collection will be based on established qualitative research methods in social sciences, such as semi-structured interviews with key stakeholders and focus groups.The operationalization of the AFIRRM model will integrate innovative methods in science policy, namely, scenario planning, foresight workshops with experts across a broad array of relevant disciplines, and innovation policy roadmapping.
-