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This presentation discusses the development of an analysis model for personal eHealth solutions and services, with a focus on the MyWellbeing project and the need for comprehensive evaluation and comparison tools. The model includes various features grouped into categories such as administrative, information aspects, functional capabilities, application architecture, interoperability and security, business models, and other considerations.
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Analysis model for personal eHealth solutions and services EFMI Special Topic Conference Reykjavik, 4 June 2010 Juha Mykkänen*, Mika Tuomainen, Irmeli Luukkonen, Timo Itälä * HIS R&D Unit School of Computing, Kuopio campus University of Eastern Finland juha.mykkanen@uef.fi
Outline • Introduction: • the MyWellbeing project • needs for analysis models of personal eServices for wellbeing • Materials and methods • Results: the analysis model • Discussion and conclusions
Speaker background • Juha Mykkänen, PhD, researcher • University of Eastern Finland, Health Information Systems R&D Unit • Board member in Finnish Social and Health Informatics Association, HL7 Finland vice chair (co-chair common services & IHE SIG), HL7 SOA Ambassador, University of Eastern Finland representative in IMIA WG HIS • Projects developing and applying SOA and integration approaches • SOLEA: ”Agile Enterprise Architecture using SOA and BPM” 2008-2011 • SerAPI: SOA and integration of healthcare applications 2004-2007 • OmaHyvinvointi (MyWellbeing): personal wellness management 2008-2010 • PlugIT: healthcare application integration 2001-2004 • eKat / guidelines for national eBooking of health services 2008 • Healthcare services specification project (HSSP) / HL7 and OMG, 2005- • Integrating the Healthcare Enterprise - IHE.fi 2008- • National project for social services IT - Tikesos 2006-2011 • China/Finland eHealth partnership + other projects in Shanghai 2004-2008 • Various HL7 Finland and web services standards specifications
the MyWellbeing project (Omahyvinvointi) • a national R&D project in Finland on citizen-centric wellness management concept – ”coper” / ”pärjäin” • includes various viewpoints • 2 case groups: citizens retiring from work, families having a baby • concept development: generic dual model between service providers and citizens • infrastructure and architecture: relationship of patient-owned solutions to service provider systems, integration • citizen-centric needs analysis and future scenarios for eWellbeing • business models and evaluation • Six universities and various companies in Finland, coordinated by university of Turku • University of Eastern Finland focuses on connectivity, architectures, information landscape and needs analysis of citizens, applications of Personal Health Records
Why an analysis model for personal eServices? • patient / individual empowerment increasingly required to support improving health and transition towards high quality and affordable health services • increasingly, personal information management solutions and eServices do not live in isolation but must be integrated, e.g. • personal health record systems • citizen eBooking • patient/provider communication systems • personalised decision support and knowledge systems • selection or development of eServices and integrated suites requires systematic analysis models
Materials and methods • Goal: construct a straightforwardbutcomprehensivetool for evaluation and comparison of personalwellbeing management solutions • standards and specifications for PHR functions and content • centralqualityattributesadded (portability etc.) • informationanalysis and standardsevaluationmodels • refinements in a joint workshop • goals: simpleuse, comprehensive feature description, promoteidentification of gaps and potential feature combinations for integratedofferings • partialmodelsfound in literature, included and referenced in the new model for MANY considerations
Results: the analysis model - overview • 33 featuresgrouped in sevencategories • administrative • basicinformation (overview) • Informationaspects • Functionalcapabilities • Applicationarchitecture, interoperability and security • Business model and developmentapproach • Otherconsiderations
Related information analysis model Toivanen M, Mykkänen J, Korpela M. Activity-Driven Information Analysis - Designing personal ubiquitous health and wellbeing systems. In: Ubi-Health'10 - International Workshop on Ubiquitous Healthcare and Supporting Technologies 2010, Shaghai, 31 May - 2 June, p. to appear. 2010.
Functional model – standard used as basis HL7 2007. HL7 Personal Health Record Systems Functional Model, Release 1, Draft Standard for Trial Use, HL7 EHR Technical Committee, November 2007.
Conclusions • comprehensive model – yes • incorporates many existing models for analysis • supported design and analysis of new concepts and solutions • straightforward model – no! • many of 33 considerations could require laborious analysis • but no agreement on which aspects should be left out or diminished – so this must be situation-specific • several evaluations have been performed (not presented here) • current model includes refinements from this use • the model could also be used to reverse-engineer personal eHealth solutions – publication of evaluations must be pseudonymised or anonymised • many detailed considerations should be more closely studied as critical success factors for personal eHealth solutions
additional information http://www.it.abo.fi/cofi/omahyvinvointi/index.php?id=70 juha.mykkanen@uef.fi “All old sayings have something in them” -Icelandic proverb quote Takk fyrir / Kiitos