ArticleInternational journal of environmental research and public health2020
Health Information Systems in the Digital Health Ecosystem-Problems and Solutions for Ethics, Trust and Privacy.
Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed.
- Responsible digital transformation in rural primary healthcare services: critical factors from a Norwegian case study.Scandinavian journal of primary health care · 2026Article
- What are patient perspectives on privacy and trust in digital genomic tools? A qualitative study.Journal of genetic counseling · 2025Article
- A System Model and Requirements for Transformation to Human-Centric Digital Health.Journal of medical Internet research · 2025Review
- Exploring the Italian Population's attitudes toward health data sharing for healthcare purpose and scientific research: a cross-sectional study.Journal of public health (Oxford, England) · 2025Article
- GPT, ontology, and CAABAC: A tripartite personalized access control model anchored by compliance, context and attribute.PloS one · 2025Article
- Sync fast and solve things-best practices for responsible digital health.NPJ digital medicine · 2024Article
- Delivering Digital Health Solutions that Patients Need: A Call to Action.Therapeutic innovation & regulatory science · 2024Article
- Review of Qualitative Research Methods in Health Information System Studies.Healthcare informatics research · 2024Article
- Trust and Health Information Exchanges: Qualitative Analysis of the Intent to Share Personal Health Information.Journal of medical Internet research · 2023Article
- 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
- Privacy and Trust in eHealth: A Fuzzy Linguistic Solution for Calculating the Merit of Service.Journal of personalized medicine · 2022Article
- Transformed Health Ecosystems-Challenges for Security, Privacy, and Trust.Frontiers in medicine · 2022Article
- The Sociotechnical Ethics of Digital Health: A Critique and Extension of Approaches From Bioethics.Frontiers in digital health · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Digital health information systems (DHIS) are increasingly members of ecosystems, collecting, using and sharing a huge amount of personal health information (PHI), frequently without control and authorization through the data subject. From the data subject's perspective, there is frequently no guarantee and therefore no trust that PHI is processed ethically in Digital Health Ecosystems. This results in new ethical, privacy and trust challenges to be solved. The authors' objective is to find a combination of ethical principles, privacy and trust models, together enabling design, implementation of DHIS acting ethically, being trustworthy, and supporting the user's privacy needs. Research published in journals, conference proceedings, and standards documents is analyzed from the viewpoint of ethics, privacy and trust. In that context, systems theory and systems engineering approaches together with heuristic analysis are deployed. The ethical model proposed is a combination of consequentialism, professional medical ethics and utilitarianism. Privacy enforcement can be facilitated by defining it as health information specific contextual intellectual property right, where a service user can express their own privacy needs using computer-understandable policies. Thereby, privacy as a dynamic, indeterminate concept, and computational trust, deploys linguistic values and fuzzy mathematics. The proposed solution, combining ethical principles, privacy as intellectual property and computational trust models, shows a new way to achieve ethically acceptable, trustworthy and privacy-enabling DHIS and Digital Health Ecosystems.
Indexed as
Identifiers
What OpenQuestion holds
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.