Recommendations for Successful Development and Implementation of Digital Health Technology Tools
Digital health technology tools (DHTTs) have the potential to transform health care delivery by enabling new forms of participatory and personalized care that fit into patients' daily lives. However, realizing this potential requires careful navigation of numerous challenges. This viewpoint presents the authors' experiences and perspectives on the development and implementation of DHTTs, addressing both established practices and controversial topics. This article offers a practical guide organized into 10 recommendations derived from a multidisciplinary lecture series and associated workshop discussions on "Digital Health and Digital Biomarkers" held at the University of Luxembourg in 2023-2024. Key messages include the need to understand specific health care challenges, form interdisciplinary teams, incorporate patient feedback, select appropriate measurement technologies, ensure data integration and interoperability, apply advanced data science techniques, use scalable designs and open standards, comply with regulatory requirements, and maintain continuous evaluation and improvement. While the guide highlights essential practices, it also addresses contentious issues such as balancing innovation with regulatory compliance, addressing ethical concerns in artificial intelligence adoption, managing privacy versus the need for comprehensive data integration and open science, and managing the financial sustainability of DHTTs. The authors argue that digital health's greatest potential lies in its ability to provide participatory and personalized care, but this requires a delicate balance between technological advances and ethical, legal, and social implications. Overall, this workshop-derived viewpoint aims to help health care professionals, engineers, developers, and researchers not only adopt best practices but also address and resolve the controversial aspects inherent in the development of DHTTs.
Authors
- Rebecca Ting Jiin Loo (ORCID: https://orcid.org/0000-0002-7566-1677)
- Maike Greve (ORCID: https://orcid.org/0000-0003-3766-8285)
- Francesco Nasta (ORCID: https://orcid.org/0000-0001-6631-1205)
- John Blake Torous (ORCID: https://orcid.org/0000-0002-5362-7937)
- Arne Küderle (ORCID: https://orcid.org/0000-0002-5686-281X)
- Sara Khalid (ORCID: https://orcid.org/0000-0002-2845-5731)
- Riley M. Bove (ORCID: https://orcid.org/0000-0002-2034-8800)
- Valérie Storms (ORCID: https://orcid.org/0000-0001-9344-0248)
- Holger Fröhlich (ORCID: https://orcid.org/0000-0002-5328-1243)
- Susan L. Moore (ORCID: https://orcid.org/0000-0001-8671-6066)
- Enrico Glaab (ORCID: https://orcid.org/0000-0003-3977-7469)
- Frada Burstein (ORCID: https://orcid.org/0000-0001-8258-0878)
- M. Macchi (ORCID: https://orcid.org/0009-0005-0901-5879)
- Anaı̈s Baudot (ORCID: https://orcid.org/0000-0003-0885-7933)
Institutions
- Beth Israel Deaconess Medical Center (US)
- University of Bonn (DE)
- Harvard University (US)
- Colorado School of Public Health (US)
- Inserm (FR)
- Copenhagen Business School (DK)
- University of California, San Francisco (US)
- Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
- University of Luxembourg (LU)
- Aix-Marseille Université (FR)
- University of Oxford (GB)
- Fraunhofer Institute for Algorithms and Scientific Computing (DE)
- Bonn Aachen International Center for Information Technology (DE)
- Monash University (AU)
- Hasselt University (BE)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-06-11
- DOI
- https://doi.org/10.2196/56747
- Citations
- 8
- Primary Topic
- Electronic Health Records Systems
- Type
- article
- Field-Weighted Citation Impact
- 23.50
Funders
- European Commission
- Fonds National de la Recherche Luxembourg