A Patient Identity Matching Service for Cloud-based Performance Management of Community Healthcare
Author(s) -
Benjamin Eze,
Craig Kuziemsky,
Liam Peyton
Publication year - 2017
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2017.08.321
Subject(s) - cloud computing , health care , identity management , computer science , matching (statistics) , identity (music) , data sharing , service delivery framework , service (business) , knowledge management , business , process management , computer security , medicine , access control , marketing , physics , pathology , acoustics , operating system , alternative medicine , economics , economic growth
Managing patients with chronic and complex health conditions poses significant challenges to community healthcare in terms of quality and cost of care delivery. These challenges can be addressed through systematic performance management of care processes. However, heterogeneous healthcare data silos and inconsistent patient identity, coupled with patient privacy regulations, limit our ability to achieve systematic performance management of community healthcare. Cloud computing is an emerging technology that could be leveraged to address the issue of heterogeneous healthcare data silos, if a regional health authority provided data hosting with appropriate data sharing agreements and identity management. In this paper, we present a Patient Identity Matching Service for correlating cloud-hosted data from multiple stakeholders into a common data model to support performance management of community healthcare. We illustrate its use in a case study of performance management for community care of chronic and complex health conditions at a regional health authority in Canada.
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