Loo Rebecca Ting Jiin, Nasta Francesco, Macchi Mirco, Baudot Anaïs, Burstein Frada, Bove Riley, Greve Maike, Fröhlich Holger, Khalid Sara, Küderle Arne, Moore Susan L, Storms Valerie, Torous John, Glaab Enrico
Biomedical Data Science Group, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 6 Avenue du Swing, Belvaux, L-4367, Luxembourg, 352 466644 ext 6186.
Marseille Medical Genetics (MMG), INSERM, Aix Marseille University, Marseille, France.
J Med Internet Res. 2025 Jun 11;27:e56747. doi: 10.2196/56747.
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.
数字健康技术工具（DHTTs）有潜力通过实现适合患者日常生活的新型参与式和个性化护理来改变医疗保健服务。然而，要实现这一潜力，需要谨慎应对众多挑战。本文观点介绍了作者在DHTTs开发与实施方面的经验和观点，涉及既定做法和有争议的话题。本文提供了一份实用指南，该指南分为10条建议，这些建议源自2023 - 2024年在卢森堡大学举办的关于“数字健康与数字生物标志物”的多学科讲座系列及相关研讨会讨论。关键信息包括需要了解特定的医疗保健挑战、组建跨学科团队、纳入患者反馈、选择合适的测量技术、确保数据集成与互操作性、应用先进的数据科学技术、采用可扩展设计和开放标准、遵守监管要求以及持续评估和改进。虽然该指南强调了基本做法，但它也涉及一些有争议的问题，如在创新与合规监管之间取得平衡、解决人工智能应用中的伦理问题、在隐私保护与全面数据集成及开放科学需求之间进行权衡，以及管理DHTTs的财务可持续性。作者认为数字健康的最大潜力在于其提供参与式和个性化护理的能力，但这需要在技术进步与伦理、法律和社会影响之间达成微妙平衡。总体而言，这个源自研讨会的观点旨在帮助医疗保健专业人员、工程师、开发者和研究人员不仅采用最佳实践，还能应对和解决DHTTs开发中固有的争议性方面。
