Probably the most significant concern for anyone responsible for implementing, deploying, and maintaining a quality management system (QMS) is the integration of risk-based thinking. While the concepts of risk-based thinking and management are not new, previous practice was more reactionary, primarily focusing on detection after the fact, root cause analysis, corrective actions, and preventing recurrence of the failure. Contemporary thinking places the emphasis on considering risks up front (prevention) and having a solid approach to address risk in planning, managing, and driving actions.
While other industries have learned from the principles of quality and statistical control methodology, (bio)pharma has been slow on the uptake. This article proposes tactic designs that utilize collaboration tools to facilitate Kaizen/continuous improvement in quality management systems (QMSs).
Ever-increasing amounts of data generated throughout the product life cycle can be hard to utilize to the organization’s advantage because of silos, misalignment, and complexity.