ArticleFrontiers in medicine2022
Transformed Health Ecosystems-Challenges for Security, Privacy, and Trust.
Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Development of a Surgical Data Availability and Transferability Assessment Tool and Its Use in Evaluating Mozambique's Surgical Data Ecosystem.World journal of surgery · 2026Article
- A System Model and Requirements for Transformation to Human-Centric Digital Health.Journal of medical Internet research · 2025Review
- Secondary use under the European Health Data Space: setting the scene and towards a research agenda on privacy-enhancing technologies.Frontiers in digital health · 2025Article
- Designing and Managing Advanced, Intelligent and Ethical Health and Social Care Ecosystems.Journal of personalized medicine · 2023Article
- Future pHealth Ecosystem-Holistic View on Privacy and Trust.Journal of personalized medicine · 2023Article
- The ethical challenges of personalized digital health.Frontiers in medicine · 2023Article
- Reinforcing Health Data Sharing through Data Democratization.Journal of personalized medicine · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A transformed health ecosystem is a multi-stakeholder coalition that collects, stores, and shares personal health information (PHI) for different purposes, such as for personalized care, prevention, health prediction, precise medicine, personal health management, and public health purposes. Those services are data driven, and a lot of PHI is needed not only from received care and treatments, but also from a person's normal life. Collecting, processing, storing, and sharing of the huge amount of sensitive PHI in the ecosystem cause many security, privacy, and trust challenges to be solved. The authors have studied those challenges from different perspectives using existing literature and found that current security and privacy solutions are insufficient, and for the user it is difficult to know whom to trust, and how much. Furthermore, in today's widely used privacy approaches, such as privacy as choice or control and belief or perception based trust does not work in digital health ecosystems. The authors state that it is necessary to redefine the way privacy and trust are understood in health, to develop new legislation to support new privacy and approaches, and to force the stakeholders of the health ecosystem to make their privacy and trust practices and features of their information systems available. The authors have also studied some candidate solutions for security, privacy, and trust to be used in future health ecosystems.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.