While modernizing solutions and processes require investments of time, resources and budget, wise investments result in reduced total costs, higher quality results and flexible approaches to future modernization activities. And once you’re fully utilizing your new capabilities, you’ll wonder how you
ever worked before.
d-Wise Clinical Advisory and Modernization Services will enable you to adopt a progressive and comprehensive approach to modernizing your clinical trial solutions and processes. Our end-to-end consulting and assessment services encompass business process and change management; data and
metadata-driven strategies; and vendor-agnostic infrastructure and technology assessment. We work with you to identify those business problems – systems, processes, architecture, etc. – that are inhibiting your ability to achieve your clinical research goals. And then we enable you to reach those goals by
modernizing your software and solutions, business processes, and infrastructure.
Technology adoption within life sciences has always lagged behind other industry sectors. While this adoption is generally driven at the CIO level—many life science clients are now making strides outside the IT department with implementing technologies and process value that translate into faster time to market.
For adoption of these technologies to be successful, a number of key factors need to be evaluated and planned for: changes to the business process, responsiveness and acceptance by internal and external stakeholders, and impact to corporate or regulatory compliance. Organizations tied to legacy systems and processes or a “that is the way we've always done it” attitude will find difficulty. Companies must overcome these challenges with a willingness by all stakeholders to change systems and processes.
d-Wise combines extensive experience in implementing standards with knowledge of CDISC and other industry standards. By using technology and standards to automate mundane data processing and reporting tasks, companies improve both data quality and the ability to share data enabling bioinformatics and research clinicians to can spend more time on the real science of drug development.
d-Wise provides services to leverage standards including:
Expertise to assist or entirely manage clinical data standards implementation
A proven process for converting legacy data to a standard data model
Custom solutions for managing standards data and metadata
Implementing SAS and other leading clinical solutions to manage clinical data and metadata standards
More than any other industry, life science companies use many different technologies to get the job done. Niche products are the norm in the processing and analysis of data in this industry and companies use duct tape, band aids and manual processes for ‘integrating’ products.
d-Wise successfully integrates many diverse solutions to optimize a company’s data flow. This involves asking the right questions of the business users, designing the most optimal communication flow, and building robust interfaces between solutions. It is critical for these diverse technologies to communicate effectively with one another – and d-Wise breaks down these communications barriers.
Life sciences companies with unique requirements often need customized solutions to support their business model and overall strategy. Oftentimes, these solutions involve both technology and process modifications to be effective, and frequently require highly specialized solutions to integrate with their existing IT landscapes and workflow. Identifying the right business partner with both the domain expertise and technical capabilities for a custom solution can be challenging.
d-Wise is uniquely qualified to operate in this space, and can bring a wealth of experience to bear on projects that require custom features.
One example of d-Wise's talent to do this type of thing is exemplified in a recent project we completed for a small pharmaceutical client who wanted to implement a compliant and validated Statistical Computing Environment with limited resources, no QA, and an IT staff who thought SAS was a European airline!
Despite their size, small pharmaceutical companies must adhere to the same regulations that govern large ones. Production statistical computing environments must be validated and compliant; no exceptions. With limited resources, minimal QA, and an IT staff having little to no understanding of SAS, it is difficult to know how to proceed.
Technical consultants from d-Wise teamed with a cutting edge biotechnology company to develop a project approach and system design. We compressed our initial costs by 1.) keeping the design simple and 2.) using free, open source technologies, where possible, for several system components. We employed virtualization technology to enable a return on investment and minimize validation overhead.