Maxime and Maxime improved the speed of the HBSM process for clinical trials of new vaccines using process mining.
In the clinical trial phase of a new medicine or vaccine, blood samples and other samples are collected from the people participating in the clinical trial. Overall, GSK manages millions of samples that go through hundreds of process steps in its Human Biological Sample Management (HBSM) process. It is vital to complete the HBSM process as quickly as possible while maintaining quality requirements.
Maxime Parres-Albert is a senior tech engineer, and Maxime Brochier is a business innovation lead at GSK. Using process mining on clinical operations data, they were able to improve the HBSM process and identify bottlenecks and best practices. For example, clinical test results can now be released faster. They also showed the complex data transformations that they had to perform to get the data in the right shape and shared their change management approach.
Machteld and Marianne share three projects in which the initial assumptions were quite different from the analysis results and ultimate resolutions.
Sjoerd shows us how answering one question generated new, additional questions. And how you need to keep on asking the “why” question until there are no further questions left.
Beth looks at two types of processes: Structured and unstructured processes. She adapts her analysis approach to the type of process.
Robin dives into statistics and shows in detail how he calculates the First Time Yield (FTY) for his quality measurement.
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