Morrisville, NC (PRWEB) June 09, 2014
d-Wise, the leading life science and healthcare technology consulting and solution provider, announced today they are rolling out new Clinical Advisory and Modernization consulting services at DIA, aimed squarely at Pharmaceutical Sponsors and Clinical Research Organizations (CROs) . These services will enable clinical trial organizations to modernize their existing processes and tools to be fully aligned with the 2014 clinical trials performance expectations of reduced budgets, rapid delivery cycles and high-quality data.
“d-Wise has recently completed clinical advisory assessments for both CRO and Sponsor clients with existing SAS infrastructures. These assessments resulted in implementation of a SAS Grid solution for them," stated John Leveille, CEO at d-Wise. "The changes d-Wise implemented in computing infrastructure and business processes have led to a significant reduction in the total cost of ownership, more efficient use of high-cost personnel and increased flexibility and scalability. Our clients are excited about how we have enabled them to address fluctuating computational needs for multiple departments.”
Not limited to only SAS modernization, d-Wise’s data-driven services enable life sciences companies to fundamentally improve their data management and biostatistics operations through modern solutions. These vendor-agnostic assessments and accompanying implementations of critical clinical solutions include clinical data repositories (CDRs), metadata repositories (MDRs), visualizations applications, and analysis and reporting systems. And for those customers looking to improve their SAS infrastructure, d-Wise’s deep SAS expertise provides enormous insight into how to get the most from their premier investment in SAS. d-Wise’s unique approach to optimization and modernization provides a comprehensive road map that encompasses not only technology but also people, processes, data, geography and company culture.
There’s no reason for life science organizations to make do with historical business processes and antiquated technology solutions. Recent advances in computer hardware, software, storage and computing performance now facilitate distributed resources and scalable growth that empowers companies to vastly simplify processes while dramatically cutting operating costs. d-Wise has the experience and expertise to lead this modernization effort, and to take your clinical trials organization to the next level.
d-Wise (http://www.d-wise.com) is a technology leader with the expertise to empower world-class life science and healthcare organizations to resolve their business optimization challenges, helping them rapidly harness and leverage data, systems and processes to gain competitive advantage.
With offices in the US and UK, d-Wise offers product, service and consulting solutions that help clients clearly understand technology options, interconnect manual, disparate and point systems and implement best practices for robust, reliable, and compliant infrastructures that optimize data flow and business process.
d-Wise has over a decade of experience tailoring data integration, data warehousing and standards solutions to meet individual client needs. That experience is rooted in extensive domain knowledge of SAS® software, clinical drug development and clinical data standards like CDISC. As a trusted CDISC® Registered Solutions Provider d-Wise also brings a unique blend of experience that includes direct participation within life sciences companies in technology implementation and integration, process optimization and multi-phased development processes found in clinical research and the related data continuum from capture through submission.
Within the healthcare and insurance arena, d-Wise works with organizations to help them understand and develop an analytic vision, and integrate and streamline data operations for rapid deployment of advanced analytics that improve operations, lower costs, and facilitate decision making. The company's broad range of experience includes data optimization for actuarial, quality, medical-management, and operational data marts and data warehouses, as well as support for fraud detection using data-driven and repeatable processes.