Intelligent Automation (I.A.) is the driver of the new frontier of transformation for the digital savvy enterprise. It enables Intelligent Business Process Automation and Management, as compared to the previous IT process automation, which offered value generation from standalone processes alone, instead of improved process efficiency and quality across the enterprise, as promised by I.A.
In Life Sciences, this represents an opportunity to embrace a technology that promises better time to market, reduced cost, improved process compliance and a more immersive customer experience.
Intelligent Automation draws from the outputs of the following:
- Business Process Management Systems cater to the functional layers in an organization and make the collaboration between people, system, and data efficient via automation of complex processes to minimize human intervention. An example of this is digital health solution platforms, which offer seamless end-to-end patient management capabilities
- Robotic Process Automation automates repetitive tasks, reducing human intervention in computer applications. This is the current frontrunner of Automation implementation in the industry, through its ease of implementation and availability of established tools. Examples of RPA are platforms which ensure automated pharmacovigilance compliance by tracking, adverse event reporting, and safety signaling
- Artificial Intelligence and Machine Learning try to‘Emulate human intelligence in machines, thereby teaching them to learn and improve, delivering continuous improvement’. Tools which enable study of molecules’ ADMET (Absorption, Distribution, Metabolism & Excretion) properties for drug research via imaging and simulation analysis are a prime example of A.I. & M.L. powered value
- Integrated Ecosystems aim to achieve seamless connectivity of the day to day systems across platforms and devices to improve user experience. Integrated Business Ecosystems are realized by the collaborative functioning of other business systems and spans other enablers of Intelligent Automation as well. The most noteworthy example of this would be Faster, Intelligent Clinical Trials, which reduce the drugs’ time to market by leveraging technologies like Internet of Things, Robotic Business Management, and Integrated data management