One of the modern-day challenges facing clinical organizations is the cultural change to become data-driven. The old, costly style of using anecdotal evidence, 'the-experience-of-one' and the magic 8-ball has to shift, to using tangible business knowledge (in the form of Data) and arriving at smart, every-day business decisions (through Analytics).
The more obvious choice for many will be to adopt drastic changes in hiring practices and mandating users re-align on data-driven procedures. This kind of transformation often comes with big technology overheads, program risk and the associated costs you'd expect.
However, with advancements in cloud computing, graphical user interface (GUI) driven data analytics and deep statistics, the answer is simpler than you might think.
With a combination of simple tools and approaches, a transformation can be achieved quickly and cost effectively. A Data Science Workbench would enable search, acquisition and simulation from multiple data sources; Enterprise Analytics Apps made available via an app store would provide intelligent, AI-driven insights to enable decision making.
By pairing the two solutions, Machine-enabled Learning becomes a reality and lets us take a giant leap towards reducing our reliance on GUI, with improved and autonomous information delivery. This month saw the release of the latest version of our Clinical Operations Insights Platform (COIP) - the module of Accenture Life Sciences Cloud for R&D (ALSC) that provides a single source of truth for clinical trial operations data. This platform provides a "low bar of entry" for business users not only to adopt, but sustain and nurture a data-driven culture.
By creating efficiency and improvements in the way clinical organizations design and manage their trials, COIP means they're better able to focus on and develop patient experience and engagement. And with great patient engagement, comes better data.
For more information, visit www.accenture.com/alsc.