Digital Data Flow projects
Improving efficiency in clinical trials...
By reviewing and redesigning the business architecture, the often fragmented legacy of processes can be reduced and consequently management becomes more effective. In addition, accurate and foreseeing architecture is a good basis for innovation and growth.
In current pharmaceutical clinical research processes, a lot of the architecture is fixed and seen as the standard of the industry. It starts with a drug development plan and study designs, and ends with regulatory submissions. The process includes a number of fixed, predefined process steps involving people who hardly know of each other’s existence. This structure can result in decisions that are unfeasible and unwanted from the overall business perspective. For some features of the drug development process, the current approach is regulatorily required, but in most cases it is just common practice based on insights dating back 20 to 30 years.
With the introduction of new ICT methods, the usage of real-world data, and the increasing pressure on the drug market, it is possible and high time to change the old-fashioned, time-consuming and costly step by step approach. Adaptive study designs, real-world control arms and automatic source data collection are, for example, much more effective when standard ‘old-aged’ business-structures are redesigned. Digital data flow solutions, more aligned business processes, and extensive knowledge management are key to the success of the new efficient clinical trial process.
However, there is no one size fits all strategy to improve efficiency in the whole industry. A unique and most efficient architecture can be determined for each company, by taking its goals, size, clients’ needs and requirements into account. We are here to find that architecture together with you and to optimise your processes by choosing, defining, and implementing the right tools, people and procedures. Our extensive
knowledge of industry solutions, stakeholder management, and planning are key to our success.
See also our following articles on LinkedIn:
– The future of effective Clinical Data Storage and usage
– Optimizing people interaction to improve efficiency
– How to use regulations and guidelines to improve process efficiency