PART I | The Semantic Web?s Answer to Real-Time Dynamic Data Collection for Regional H1N1 Preparedness and Planning
nRam Vedam, Senior Scientific Programmer, University of Texas at Houston – Health Sciences CenternMatthew Vagnoni, Scientific Programmer II / Ph.D. Student, University of Texas at Houston, Health Sciences CenternDepartments of public health have long been famous for being overwhelmed with emergencies and local and federal mandates that all require customized and sophisticated information collection and processing tools, but no budget and no time to plan and to develop them. nInternational H1N1 outbreaks in the past year are examples of how an unprecedented event can overwhelm a health system, no matter big or small it is. The difference is that today the Semantic Web technologies can be leveraged to encompass requirements of real-time and just-in time data collection, integration and interpretation in a way that existing infrastructures can be dynamically reconfigured and reused to adapt to novel requirements and unforeseen use-cases with no cost, as opposed to costly and inefficient practice and investment in developing, and maintaining redundant tools, and information silos, each being very specialized to a given problem.nThe Survey on Demand System (SODS) developed at the UT-Houston School of Health Information Sciences allows ordinary users with minimal computer experience to design, and deploy advanced data collection instruments complete with all work-flow management, team-working, audit and control, data protection, and security features of any custom built application. nThis includes:n
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Model Driven Design, and Human Computer Interactions
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Versioning and Support of Longitudinal Change and Tracking
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Variable level transaction logging and rollback
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Asynchronous (occasionally connected) Information Exchange and Synchronization
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Automated within and between project data integration
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Support of standard vocabularies or local data dictionaries
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Services Oriented Architecture
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PART II | TrialX: Enabling patients find clinical trails by bringing Semantic Web, Personal Health Records and Web 2.0 together
nKarthik Gomadam, Problem Solver, Applied Informatics Inc.nChintan Patel, Co-founder / Problem Solver, Applied Informatics Inc.nVivek Gard, Co-founder / Problem Solver, Applied Informatics Inc.nTrialX?s award-winning technology has been designed to help patients, sponsors, hospitals and investigators in the clinical trials process. It allows patients to easily enter their own personal information or securely integrate with consumer-centric personal health record platforms offered by Microsoft HealthVault and Google Health, and then use that information to offer services that significantly reduce the effort expended by consumers and investigators to find each other. TrailX seamlessly integrates multiple data sources using rich semantic technologies, leveraging on existing and open semantic models, such as UMLS. TrialX was the winner of the ISWC Semantic Web Challenge (Open Track) in 2009 as well as the winner of the NYENT 2009. TrialX has been featured prominently in press (http://trialx.com/press/). Recently, TrialX has launched in the UK, Canada, and India. We are also testing our healthcare integration middlware with some of the big hospitals in the US.
DTSTART:20100625T094500
SUMMARY:Semantic Health Solutions for Clinical Trials and Real-time Public Health Monitoring
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