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This article offers a practical guide organized into 10 recommendations derived from a multidisciplinary lecture series and associated workshop discussions on \u201cDigital Health and Digital Biomarkers\u201d 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\u2019s 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.<\/jats:p>","DOI":"10.2196\/56747","type":"journal-article","created":{"date-parts":[[2025,6,11]],"date-time":"2025-06-11T15:42:42Z","timestamp":1749656562000},"page":"e56747-e56747","source":"Crossref","is-referenced-by-count":24,"title":["Recommendations for Successful Development and Implementation of Digital Health Technology Tools"],"prefix":"10.2196","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7566-1677","authenticated-orcid":false,"given":"Rebecca Ting 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