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dc.contributor.authorSadasivam, Rajani S.
dc.date2022-08-11T08:10:43.000
dc.date.accessioned2022-08-23T17:17:54Z
dc.date.available2022-08-23T17:17:54Z
dc.date.issued2008-01-01
dc.date.submitted2010-08-13
dc.identifier.citationR.S. Sadasivam, <em>Architecture Framework for Process-Personalized Composite Services: Service-oriented Architecture, Web Services, Business-Process Engineering, and Human Interaction Management</em>. VDM Verlag, 2008. ISBN 3639087240, 9783639087246.
dc.identifier.urihttp://hdl.handle.net/20.500.14038/47736
dc.description.abstractThe integration of large systems remains problematic in spite of advances in composite services approaches. Current composite services approaches can effectively address only the integration of mechanistic processes. Processes with human interaction, abundant in large systems, are integrated in an ad hoc manner. As a result, a process gap occurs between user needs and implemented systems. The lack of support for human interaction with processes in large systems is referred to as the composite process-personalization (CPP) challenge. An architecture framework is presented that can systematically address the lack of CPP in current composite services approach. The framework is validated with two case studies, one in the biomedical informatics domain.
dc.language.isoen_US
dc.relation.urlhttp://books.google.com/books?id=R5PGOwAACAAJ
dc.subjectInformation Storage and Retrieval
dc.subjectComputer Systems
dc.subjectUser-Computer Interface
dc.subjectBiostatistics
dc.subjectComputer Engineering
dc.subjectEpidemiology
dc.subjectHealth Services Research
dc.titleAn Architecture Framework for Process-Personalized Composite Services: Service-Oriented Architecture, Web Services, Business-Process Engineering, and Human Interaction Management
dc.typeBook
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/qhs_pp/858
dc.identifier.contextkey1444129
html.description.abstract<p>The integration of large systems remains problematic in spite of advances in composite services approaches. Current composite services approaches can effectively address only the integration of mechanistic processes. Processes with human interaction, abundant in large systems, are integrated in an ad hoc manner. As a result, a process gap occurs between user needs and implemented systems. The lack of support for human interaction with processes in large systems is referred to as the composite process-personalization (CPP) challenge. An architecture framework is presented that can systematically address the lack of CPP in current composite services approach. The framework is validated with two case studies, one in the biomedical informatics domain.</p>
dc.identifier.submissionpathqhs_pp/858
dc.contributor.departmentDepartment of Quantitative Health Sciences


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