Table 2.
Characteristics of the included studies.
| # | Author and country | Year | Journal | Study design and methods | Type of eHealth technology | Topics related to implementation |
|---|---|---|---|---|---|---|
| 1 | Bahls et al, Germany (36) | 2020 | Journal of Translational Medicine |
Qualitative:
|
A generic architecture with a technical framework of tools, interfaces, and workflows for practicable and secure processing of patient data family doctors | Information about the design, implementation, and pilot testing of this generic research architecture and workflows that unlock primary care data for secondary usage |
| 2 | Botrugno et al, Italy (37) | 2018 | Health Policy and Technology (Elsevier) | Not specified | Telemedicine in general | Information about exploring available provisions for an EU regulatory framework for telemedicine, and to assess their suitability to regulate remote care services |
| 3 | Briganti et al, Belgium (38) | 2020 | Frontiers in Medicine | Not specified | Artificial Intelligence in healthcare | Information about the benefits, future opportunities, and risks of established AI applications in clinical practice on physicians, healthcare institutions, medical education, and bioethics |
| 4 | Cobianchi et al., Italy (39) | 2022 | Journal of the American College of Surgeons |
Qualitative:
|
Artificial intelligence (AI) applications aiming to support surgical decision-making processes | Information about mostly ethical (but also legal, technological, and business model related) factors that need to be considered when implementing AI applications to support surgical decision-making. These include factors related to human agency and oversight, technical robustness, privacy, and safety of data, diversity, and non-discrimination, societal and environmental well-being, and accountability. |
| 5 | Cresswell et al, United Kingdom (40) | 2019 | BMJ Health & Care Informatics |
Qualitative:
|
Integration of patient generated data into electronic health records | Information about applying emerging policy frameworks to the United Kingdom and outline five key priority areas that are intended to guide policymakers’ decision-making for patient generated data integration into electronic health records |
| 6 | Diaz-Skeete et al, Ireland (41) | 2020 | Health Informatics Journal |
Qualitative:
|
eHealth technologies (in particular remote monitoring systems) in community and home cardiac care | Information about the barriers and facilitators to the adoption of eHealth technology in community and home cardiac care |
| 7 | Gaebel et al, Germany (42) | 2020 | European Archives of Psychiatry and Clinical Neuroscience |
Mixed-method:
|
e-Mental Health Innovations | Information about the uptake of E-mental health, including barriers for implementation (for six different countries). Policy recommendations were provided to guide political and regulatory processes regarding the implementation of e-mental health. |
| 8 | Garani-Papadatos et al., Greece (43) | 2022 | Frontiers in Digital Health |
Qualitative:
|
A digital health platform in a palliative care context (pediatric cancer patients) | Information about ethical challenges, the paper provides information about what ethical considerations occurred in the development and implementation of this digital health platform, and what type of decisions they made (e.g., in terms of technological features) to tackle the barriers they explored. |
| 9 | Gilbert et al., Germany (44) | 2023 | Journal of Medical Internet Research |
Qualitative:
|
Digital health technologies, particularly AI-based tools and machine learning medical tools | Information about the divergent approaches of the European Union and the United States in the implementation of new regulatory approaches in digital health. The paper poses specific challenges to the development and implementation of functional regulation (such as the MDR). |
| 10 | Jacquemard et al, Ireland (45) | 2021 | BMC Medical Ethics |
Qualitative:
|
Electronic health records | Information about ethical concerns that occur in the design, development, implementation, and use of an electronic health records |
| 11 | Jusob et al., United Kingdom (46) | 2022 | Journal of Public Health |
Qualitative:
|
A novel privacy framework to address privacy threats/concerns in the context of mHealth and the management of chronic diseases | Information about possible privacy threats and concerns in the development and implementation of mHealth. The paper proposes a new privacy framework for mHealth, in which they describe requirements for the framework and the choices they made based on these requirements. |
| 12 | Karacic Zanetti and Nunes, Croatia (47) | 2023 | Computers |
Qualitative:
|
Health wallet (an integrated digital platform that allows individuals to manage and control their own health information) | Information about the implementation of health wallets. In particular a risk-based approach to identify and prioritize data security risks, system interoperability, cross-border healthcare challenges, data accuracy, and ethical challenges. The paper provides a practical framework for healthcare organizations to allocate resources while ensuring that patient data remain secure and private. |
| 13 | Kühler et al, France (48) | 2022 | Clinical Therapeutics |
Qualitative:
|
Not a specific eHealth technology, but the paper focusses on European Union regulatory frameworks for connected combined products, such as medical devices | Information about identified challenges in developing and releasing connected combined products and the paper highlights and discusses gaps in the European Union Regulations. |
| 14 | Leimanis et al, Latvia (49) | 2021 | European Journal of Sustainable Development |
Qualitative:
|
Artificial Intelligence in healthcare | Information about ethical, regulatory, and social issues raised by applying artificial intelligence in healthcare, from sustainable development perspective |
| 15 | Li et al., United Kingdom (50) | 2023 | BMC Medical Informatics and Decision Making |
Qualitative:
|
Electronic Health Records (EHR) | Information about (the lack of) EHR interoperability, including facilitators and barriers to improve EHR interoperability. |
| 16 | Martani et al, Switzerland (51) | 2019 | Swiss Medical Weekly |
Qualitative:
|
Insurers’ apps that permit customers to share their data in exchange for monetary rewards | Information about the features and functioning of the apps, and ethically relevant aspects related to the usage of these apps. |
| 17 | Parimbelli et al, Italy (52) | 2018 | International Journal of Medical Informatics (Elsevier) |
Qualitative:
|
Telemedicine systems, with the focus on real-world, non-mediate interaction with the final user | Information about the risks and legal implications connected to the development and use of modern telemedicine systems. |
| 18 | Prodan et al, Germany (53) | 2022 | Frontiers in Digital Health |
Qualitative:
|
Digital therapeutics (“apps on prescription”) | Information about how the approval and adoption of digital therapeutics within health systems have been approached in five selected European countries and regions, including success factors that scale up the adoption. |
| 19 | Rakers et al., The Netherlands (54) | 2023 | Elsevier Health Policy and Technology |
Qualitative:
|
Remote Patient Monitoring (RPM) | Information about the barriers and facilitators of structural reimbursement of RPM in hospital care in the Netherlands. In addition, the paper proposes actionable recommendations. |
| 20 | Rauwerdink et al, the Netherlands (55) | 2021 | Journal of Medical Internet Research |
Mixed method:
|
eHealth technologies with various subjects and themes, from the Citrien Fund program eHealth (2016–2019) | Information about the barriers and facilitators of the development of the 29 included eHealth projects |
| 21 | Redrup Hill et al., United Kingdom (56) | 2023 | Frontiers of Digital Health |
Qualitative:
|
A semi-automated deep-learning system (AI) with as example the clinical pathway for the early detection of Barett's Oesophagus and oesophageal adenocarcinoma. | Information about ethical and legal considerations that influence human involvement in the implementation of AI in a clinical pathway. Opinions of stakeholders are shared about the risks and potential harms of AI, the impact of AI on human experts, equity and bias, transparency and oversight, patient information and choice, and accountability, moral responsibility, and liability for errors. |
| 22 | Reindl et al, Germany (57) | 2021 | IEEE Xplore | Not specified | Robot-assisted haptic telepresence tools | Information about the legal framework of telemedicine in EU, and practical physical safety, data security, and system usability implications learned from implementing a telemedicine station prototype. |
| 23 | Schlieter et al, Germany (58) | 2019 | Journal of Medical Internet Research |
Qualitative:
|
Digital health innovations (in general) | Information about enablers and barriers for scaling up digital health innovations, in the context of achieving large-scale implementations that will benefit the population as a whole |
| 24 | Scobie et al, United Kingdom (59) | 2020 | Learning Health Systems |
Qualitative:
|
Learning health systems | Information about requirements for the development of learning health systems, including national policy implications and actions. |
| 25 | Sheikh et al, United Kingdom (60) | 2021 | The Lancet Digital Health | Not specified | Learning health systems | Information about achieving the optimal balance between top-down and bottom-up implementation, improving usability and interoperability, developing capacity for handling, processing, and analyzing data, and addressing legal and ethical challenges. |
| 26 | Shull et al, Spain (61) | 2019 | JMIR Medical Informatics | Not specified | Digital health systems (and their interoperability with electronic health records) | Information about the evolution and obstacles of electronic health records, potential barriers for interoperability with digital health systems, and best practices from examples they provide. |
| 27 | Silven et al, the Netherlands (62) | 2022 | BMC Health Services Research |
Qualitative:
|
Digital health in clinical practice | Information about challenges of responsibility and liability when prescribing digital health in clinical practice |
| 28 | Tozzi et al, Italy (63) | 2021 | BioLaw Journal | Not specified | Artificial Intelligence in healthcare | Information about potential ethical challenges and risks of implementing artificial intelligence tools in clinical practice, GDPR, and informed consent. |
| 29 | Van den Wijngaart et al, the Netherlands (64) | 2018 | Journal of Medical Internet Research |
Qualitative:
|
A web-based portal to monitor asthmatic children as a substitution for routine outpatient care | Information about barriers and facilitators for the implementation and use of this web-based portal |
| 30 | Van Rooden et al, the Netherlands (65) | 2021 | Clinical Microbiology and Infection |
Qualitative:
|
Automated surveillance for healthcare-associated infections | Information about the governance aspects (both legal and ethical) of large-scale implementation of automated surveillance of infections |
| 31 | Van Velthoven et al, United Kingdom (66) | 2019 | Journal of Medical Internet Research |
Qualitative:
|
Digital health innovations (in general) | Information about facilitators and barriers of sustainable adoption of digital health innovations, needs and expectations of stakeholders, and the safety, quality, and usability of the innovations. |
| 32 | Verweij et al., The Netherlands (67) | 2022 | BMC Health Services Research |
Qualitative:
|
A digital health platform for patients with chronic myeloid leukemia | Information about barriers and facilitators for the implementation of the digital health platform. In addition, a comprehensive implementation guide was developed for launching future digital care platforms in daily clinical platforms. |
| 33 | Wong et al, Switzerland (68) | 2022 | The Lancet Regional Health—Europe | Not specified | Digital health technologies (in context of effective surveillance systems in public health) | Information about the opportunities, challenges, and implications of the increasing digitalization of public health in Europe. |
| 34 | Zarif et al, United Kingdom (69) | 2022 | Springer/ Health and Technology | Not specified | Digital health innovations (in general) | Information about the ethical challenges that adoption of digital healthcare technology presents, contextualized at multiple levels, with suggested potential solutions. |
| 35 | Zemplényi et al, Hungary (70) | 2023 | Frontiers in Public Health |
Mixed method:
|
Artificial Intelligence tools | Information about human factor related barriers, data related barriers, methodological barriers, regulatory and policy related barriers, and technological barriers of AI. In addition, this paper proposes recommendations on how to overcome the most important ones (based on a stakeholder ranking of the barriers). |