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Real-Time Self-Auditing in Manufacturing: The Autonomous Quality Control Approach

In the realms of regulated industries and expansive global operations, it's essential to have systems that exhibit intelligent, interactive behavior, rather than merely serving as repositories for documents.

Real-Time Self-Auditing in Manufacturing: A Revolutionary Concept
Real-Time Self-Auditing in Manufacturing: A Revolutionary Concept

Real-Time Self-Auditing in Manufacturing: The Autonomous Quality Control Approach

In the rapidly evolving landscape of the healthcare industry, a significant shift is underway towards smart factories, connected devices, and data-driven decisions. Yet, this transformation is happening alongside outdated systems like batch records, paper trails, and reactive audits.

This dynamic environment creates an always-on audit trail, transforming the way manufacturing processes are monitored and managed. By building intelligence directly into the manufacturing layer, MedTech companies can reduce risk, increase speed to market, and maintain compliance with less friction.

The convergence of IoT, manufacturing execution systems (MES), and GenAI is reshaping the manufacturing landscape. Rahul Saluja, Leader of Healthcare & Life Sciences Client Solutions at Cognizant, has been at the forefront of this change, leading digital transformation programs in life sciences and MedTech for over 20 years.

One of his notable accomplishments includes implementing a digital quality layer that integrated IoT and GenAI into the existing MES at Siemens Healthineers. This innovative approach resulted in the company being inspection-ready at all times, with live, traceable data and automated compliance checkpoints.

The idea of a manufacturing line auditing itself continuously is a move towards operational and regulatory excellence. In a modern factory floor, sensors can alert about micro-variations in temperature or pressure that have historically led to batch failures. By catching these issues early, companies can prevent costly mistakes and ensure the highest quality products.

In the future, audits will be continuous, and quality will be built in, tracked, and optimized in real time. Digital twins can simulate the impact of changes before they hit production, allowing for proactive adjustments and improvements.

The leaders in the future of manufacturing will invest early in intelligent systems that make compliance a living, breathing part of operations. By doing so, they can build trust with regulators, partners, and patients, ensuring the highest standards of quality and safety in their products.

The future belongs to the proactive companies that invest in intelligent systems for manufacturing. By embracing continuous audits and real-time quality management, these companies can stay ahead of the curve and maintain their competitive edge in the ever-evolving healthcare industry.

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