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000041857 041__ $$aeng
000041857 1001_ $$aRuotsalainen, Pekka
000041857 1001_ $$aBlobel, Bernd
000041857 24503 $$aHealth Information Systems in the Digital Health Ecosystem :$$bProblems and Solutions for Ethics, Trust and Privacy
000041857 264_1 $$aBasel, Switzerland :$$bMDPI,$$c2020.
000041857 300__ $$a15 pages
000041857 336__ $$atext$$btxt$$2rdacontent
000041857 337__ $$aunmediated$$bn$$2rdamedia
000041857 338__ $$avolume$$bnc$$2rdacarrier
000041857 500__ $$aThis resource was extracted from the Directory of Open Access Journals (DOAJ)
000041857 520__ $$aDigital 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.
000041857 525__ $$aPublished in : International Journal of Environmental Research and Public Health, vol. 17, no. 3006 (2020).
000041857 650_0 $$aEthics
000041857 650_0 $$aPrivacy
000041857 650_0 $$aTrust
000041857 650_0 $$aModels
000041857 650_0 $$aEthical design
000041857 650_0 $$aComputational privacy
000041857 85641 $$uhttps://doaj.org/article/c333e7aca8ca43c19908068c46d04f33$$yView this resource
000041857 904__ $$aJournal article
000041857 980__ $$aBIB