Anniruddha Mehta, Head IT & CIO, Prince Pipes and Fittings Ltd
Introduction
Traditionally slow in the adoption of technology, the industry is now undergoing rapid changes due to the development of several technologies. The prominent pharma industry trends include artificial intelligence (AI), additive manufacturing, block chain, and other Industry 4.0 technologies.
Pharma can be broadly categorized in 2 IT verticals
When it comes to technology the above impacts the complete implementation approach as well as the way an organization deals with the product and the process.
“Can I search for emotions in this speech?” That is where we are heading to, when it comes to technology. The questions still remain the same; How can I increase productivity? How can I improve the numbers? How can I make correct decisions?
It all started with IR 3.0, where the need remained the same, but the solution for the same was the digitization of electronic systems across manufacturing companies.
Today with IR 4.0, the need again is the same, but the solution is different where every organization is talking about the nine pillars of technology
• Autonomous Robots
• Big Data Analytics
• Cloud Computing
• Internet of Things (IoT)
• Additive Manufacturing (3D Printing)
• Interoperability
• Cybersecurity
• Augmented Reality
• Simulation.
Let’s connect the above scenario with Robotic Process Automation.
“A powerful automation solution which can make or break a process, if implemented correctly can achieve increased quality, consistent quality, improved process monitoring and analytics and process scalability”.
Case Study
An Indian Pharmaceutical Company has automated their audit process, which is a unique case study where a non-core work area uses RPA as a solution. A regulatory audit is a non-core area for a pharma company but of major significance for them. Applying machine learning where the auditor would demand for data, based on the documents viewed; is an innovation - a mixture of Attended RPA and Unattended RPA.
The Players
The above are just names heard of not to promote any of them.
There are many players and in the market and also a lot of developers moving towards building an automated flow from the start.
What matters the most is the following while selecting the player
It can be a daunting challenge to find a liquid handling automation solution that is flexible enough to meet current and future needs, fulfills regulatory requirements, and is fast and easy to integrate into an existing workflow without much training or downtime.
The Possibilities – Use Cases
Non GxP Processes Areas
GxP Processes Areas
Non-GxP processes can be easy to implement and can keep improving with the usage and knowledge.
GxP processes are the ones which need the maximum detailing as they would not only involve compliance but also would be more of IPA (intelligent process automation) than RPA(robotic process automation) where RPA would integrate with Machine Learning and Artificial Intelligence.
The ROI would be measured as follows
The Reality - Implemented Use Cases
Commercial
SAP Integration
These are some use cases which are easy to implement immediate return on investment as all of these the measurements terms are more on the following points
GxP Use Cases
R&D and Clinical Development
Regulatory Submissions
Quality & Manufacturing
One of the most used GxP use case is CSV which a low hanging fruit and a lot of Pharma Cos can benefit out of it.
The Implementation Approach
Conclusion
Cut through the hype to a successful implementation and an impactful ROI!