Both pharmaceutical and medical device quality professionals are being confronted with rapid and comprehensive advancements in their industries. Demands are coming from the direction of regulators, as well as from the market itself. Change presents challenges for quality organizations, but it also opens the door to unprecedented opportunities to modernize and differentiate – and ultimately to get ahead during times of economic slowdown.
Some of the most pressing demands facing the life sciences industry continue to be disruptive. These may come in the form of supply chain disruptions or shortages, or in the form of a recall. The traditional way of handling these “surprises” was a reactive struggle with varying degrees of success. Quality leaders are learning not only to expect the unexpected – but how to prepare for it and respond to it proactively with digital solutions.
In this webinar, you will learn the industry trends driving life sciences quality professionals to modernize their perspectives and practices. You will discover advanced software solutions that offer connected and coordinated processes with real-time insights and predictive analytical capabilities, which were not available in the past.
Three trends that are impacting quality organizations and driving them to go digital and intelligent:
- Remote Inspections. What began as a necessary but temporary adjustment is now morphing into a more permanent change. Regardless of what you call them, some regulatory oversight activities are conducive to a virtual environment and this model will persist. Organizations have to develop remote capabilities and acquire technology to support them.
- Quality Management Maturity (QMM). Mature quality organizations use advanced digital solutions to self-regulate. QMM is about rewarding organizations who have robust processes, thoroughly understand their supply chain, adhere to risk management protocols, and actively focus on continuous improvements.
- Differentiating Intelligently (AI). At the core of this transformation is an important shift from event-driven, reactive, experience-based operations toward data-driven, predictive, and evidence-based ones only made possible using AI-capable software solutions. This moves an organization well beyond automation to the top of the digital maturity spectrum.