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Feasibility analysis of the privacy attributes of the personal wellness information model

Feasibility analysis of the privacy attributes of the personal wellness information model. Pirkko Nykänen, Antto Seppälä, Pekka Ruotsalainen, Bernd Blobel.

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Feasibility analysis of the privacy attributes of the personal wellness information model

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  1. Feasibilityanalysis of the privacyattributes of the personalwellnessinformationmodel Pirkko Nykänen, Antto Seppälä, Pekka Ruotsalainen, Bernd Blobel

  2. - Introduction- Privacy and privacyattributes- User wellnessscenario with privacyattributes- Details of component walk-through- Conclusions

  3. Introduction • Feasibilitystudy • Outline and clarifythings and factorsconnected to developedmodels and solutions • Proof-of-concept • Wellnessinformationmodel

  4. Privacy Personal healthinformation – confidential, needs to beprotectedfromun-authoriseduse, access and disclosure Person’sability to control the collection, use and dissemination of one’spersonalinformation Persons, groups, institutions to determinethemselves WHEN, HOW and TO WHAT EXTENT informationaboutthem is communicated to others Privacy is personal and situationdependentconcept Privacymetrics - to assess the degree to which a particularapplicationcomplies with privacyrequirements no control, controloveronekind of information, controlovertwokinds of informationorthreekinds - Contents, location, identity TRUST- mediatingbetweenprivacy and willingness to discloseprivateinformation

  5. Privacy attributes Context Type of domain, phenomenathatexist, time(when), location (where), occupation (who), culture (with whom), rationale (why) Capability ability of the informationentity to show the attributevalues Competence Level of privacydemonstration Reliability How reliableinformationorsource is consideredby the person Benefit Privacybenefits Benevolance Extent to which an individual is perceived to havegood intention towardsotherswithoutprofitmotive Confidence How confident the user is with the information Value How valuableprivacy is consideredby a person in action/activity.

  6. User wellness scenario with privacy attributes Case – A 50-year oldhealthy, employedmale, diagnosedrecently on Diabetes Mellitus T2 Health care Lifestyle Social networks Emotional and mental wellness

  7. Privacy attributes:Component - health care Privacy attribute Contents Health care Receives treatment, medication and guidance for home care of DM T2

  8. Privacy attributes: Component lifestyle Privacy attribute Contents Lifestyle Starts to improve his lifestyle, uses a personal wellness diary system in PC

  9. Details of lifestyle component walk-through Person searches for information on DM T2, on medication and treatment, on healthy lifestyle, on peer-support in the Internet

  10. Details of lifestyle component walk-through Person starts a healthy dietand documents hiseating and blood sugarlevels in hisownwellnessdiary in a PC

  11. Details of lifestyle component walk-through Person stores the data he receivesfrom a doctor in healthcare into his PC diarysystem for his Personal use

  12. How to achieve good privacy status Integration of regulated and non-regulated domains Person has to be aware and have means to control Need to develop privacy services for non-regulated environments To monitor and control privacy attributes Trust-building measures Thirs-party certificates, branding, owner disclosure, self-regulating policies Pervasive health > Self-regulating policies For each model concept the privacy attributes are defined, made known, controllable and measurable

  13. Trustbuildingmeasures and processes Processes for pervasive ubiquitous health Predictive - reputation-based trust building Intentionality – trust is developed if we have perceptions on the intensions of the service, provider Capability – person is able to evaluate the ability of the service, provider Transference – information is transferred from regulated context to non-regulated pervasive context

  14. Conclusions Privacy management is important Citizens are reluctant to adopt personal health and wellness systems Privacy is a driver for non-regulated health service business model Many existing personal health systems do not cover privacy and security regulations Privacy attributes defined to each model concept help citizens to be aware of and to control the privacy of his/her personal health information Technical solutions are needed to implement the privacy attributes, to make them known, available and controllable by a person

  15. Thankyou!Pirkko.Nykanen@uta.fi • Seppälä A, Nykänen P, Ruotsalainen P (2012), Development of personalwellnessinformationmodel for pervasivehealthcare. Journal of Computer Networks and Communication, article596749, 10 pages • Ruotsalainen P, Blobel B, Seppälä A, Sorvari H, Nykänen P (2012), AConceptual Framework and Principles for TrustedPervasive Health. J Med Internet Res14(2):e52 • Nykänen P and Seppälä A (2012), Collaborativeapproach for sustainablecitizen-centeredhealthcare. In: N Wickramasinghe, R K Bali, S Kirn and R Suomi (eds.), Critical issues of sustainableE-healthsolutions. Health caredelivery in the informationage. SpringerVerlag, 115-134 • Seppälä A, NykänenP(2011), Contextual analysis and modeling of personal wellness. In: Joaquim Filipe and Jan L. G. Dietz (Eds.) KEOD 2011, Proceedings of the International Conference Knowledge Engineering and Ontology Development - Paris, France, 26-29 October 2011: SciTePress - Science and Technology Publications, 202-207 • P Ruotsalainen, B Blobel, P Nykänen, A Seppälä, H Sorvari (2011), Framework model and principles for trustedinformationsharing in pervasivehealth. In: A Moen, SK Andersen, J Aarts and P Hurlen (eds.), User CentredNetworked Health Care. Proccedings of MIE2011, Oslo. IOS Press, Amsterdam, 497-501 • Nykänen P, Ruotsalainen P, Blobel B and Seppälä A (2009), Research on trustedpersonalhealth and wellnessinformation in ubiquitoushealthinformationspace. In: O. Dössel and WC Schlegel (Eds.): World Congress 2009, IFMBE Proceedings 25/XII, 432–435

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