Introduction: Large amounts of health data generated by a wide range of health care applications across a variety of systems have the potential to offer valuable insight into populations and health care systems, but robust and secure computing and analytic systems are required to leverage this information.
Framework: We discuss our experiences deploying a Secure Data Analysis Platform (SeDAP), and provide a framework to plan, build and deploy a virtual desktop infrastructure (VDI) to enable innovation, collaboration and operate within academic funding structures. It outlines 6 core components: Security, Ease of Access, Performance, Cost, Tools, and Training.
Conclusion: A platform like SeDAP is not simply successful through technical excellence and performance. It's adoption is dependent on a collaborative environment where researchers and users plan and evaluate the requirements of all aspects.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5019326 | PMC |
| http://dx.doi.org/10.13063/2327-9214.1224 | DOI Listing |
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