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Health Information Systems in the Digital Health Ecosystem-Problems and Solutions for Ethics, Trust and Privacy
P. Ruotsalainen, B. Blobel,
Jazyk angličtina Země Švýcarsko
Typ dokumentu časopisecké články
NLK
Free Medical Journals
od 2004
PubMed Central
od 2005
Europe PubMed Central
od 2005
ProQuest Central
od 2009-01-01
Open Access Digital Library
od 2004-01-01
Open Access Digital Library
od 2005-01-01
Medline Complete (EBSCOhost)
od 2008-12-01
Health & Medicine (ProQuest)
od 2009-01-01
Public Health Database (ProQuest)
od 2009-01-01
ROAD: Directory of Open Access Scholarly Resources
od 2004
PubMed
32357446
DOI
10.3390/ijerph17093006
Knihovny.cz E-zdroje
- MeSH
- důvěra MeSH
- důvěrnost informací MeSH
- soukromí MeSH
- zdravotní záznamy osobní * MeSH
- zdravotnické informační systémy * etika MeSH
- Publikační typ
- časopisecké články MeSH
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.
Citace poskytuje Crossref.org
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