Lewis J Frey1, Katherine A Sward2, Christopher J L Newth3, Robinder G Khemani3, Martin E Cryer4, Julie L Thelen5, Rene Enriquez5, Su Shaoyu5, Murray M Pollack6, Rick E Harrison7, Kathleen L Meert8, Robert A Berg9, David L Wessel10, Thomas P Shanley11, Heidi Dalton12, Joseph Carcillo13, Tammara L Jenkins14, J Michael Dean15. 1. Biomedical Informatics Center, Department Public Health Sciences, Medical University of South Carolina, Charleston, USA frey@musc.edu. 2. College of Nursing; Department of Biomedical Informatics, University of Utah, Salt Lake City, USA. 3. USC Keck School of Medicine; Department of Anesthesiology and Critical Care Medicine, Children's Hospital Los Angeles, Los Angeles, USA. 4. Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, USA. 5. Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, USA. 6. Phoenix Children's Hospital, Department of Pediatrics, University of Arizona Phoenix, Phoenix, USA. 7. Department of Pediatrics, University of California at Los Angeles, Los Angeles, USA. 8. Department of Pediatrics, Children's Hospital of Michigan, Detroit, USA. 9. Department of Anesthesiology and Critical Care, The Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, USA. 10. Department of Pediatrics, Children's National Medical Center, Washington, DC, USA. 11. Department of Pediatrics, University of Michigan, Ann Arbor, USA. 12. Department of Child Health, Phoenix Children's Hospital, University of Arizona College of Medicine-Phoenix, Phoenix, USA. 13. Department of Critical Care Medicine, Children's Hospital of Pittsburgh, Pittsburgh, USA. 14. Eunice Kennedy Shriver National Institutes of Child Health and Human Development (NICHD), National Institutes of Health, Bethesda, USA. 15. Department of Pediatrics, Division of Pediatric Critical Care Medicine, University of Utah School of Medicine; NICHD Collaborative Pediatric Critical Care Research Network, Salt Lake City, USA.
Abstract
OBJECTIVES: To examine the feasibility of deploying a virtual web service for sharing data within a research network, and to evaluate the impact on data consistency and quality. MATERIAL AND METHODS: Virtual machines (VMs) encapsulated an open-source, semantically and syntactically interoperable secure web service infrastructure along with a shadow database. The VMs were deployed to 8 Collaborative Pediatric Critical Care Research Network Clinical Centers. RESULTS: Virtual web services could be deployed in hours. The interoperability of the web services reduced format misalignment from 56% to 1% and demonstrated that 99% of the data consistently transferred using the data dictionary and 1% needed human curation. CONCLUSIONS: Use of virtualized open-source secure web service technology could enable direct electronic abstraction of data from hospital databases for research purposes.
OBJECTIVES: To examine the feasibility of deploying a virtual web service for sharing data within a research network, and to evaluate the impact on data consistency and quality. MATERIAL AND METHODS: Virtual machines (VMs) encapsulated an open-source, semantically and syntactically interoperable secure web service infrastructure along with a shadow database. The VMs were deployed to 8 Collaborative Pediatric Critical Care Research Network Clinical Centers. RESULTS: Virtual web services could be deployed in hours. The interoperability of the web services reduced format misalignment from 56% to 1% and demonstrated that 99% of the data consistently transferred using the data dictionary and 1% needed human curation. CONCLUSIONS: Use of virtualized open-source secure web service technology could enable direct electronic abstraction of data from hospital databases for research purposes.
Keywords:
data governance; electronic health record; grid; learning health care system; pediatric critical care; pediatric network; secure web services; virtual machines; virtualization
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