Process Mining in pharma industry

The approval of new drugs is one of the most important and at the same time most complex processes in the pharmaceutical industry. Regulatory authorities demand detailed proof of safety, efficacy and production quality, which often entails lengthy testing, documentation and approval steps. Process Mining provides a remedy in the pharmaceutical industry by analyzing the approval process in detail. By identifying bottlenecks and inefficient transitions between departments, approval processes can be systematically accelerated. In this way, pharmaceutical companies can optimize their approval process, shorten the associated throughput times and bring their products to market faster.

The development of new drugs is a lengthy, cost-intensive process in which any delay has a significant financial impact. Process Mining analyzes the various processes in drug manufacturing and identifies critical paths and optimization potential in the various development phases. The technology enables precise measurement of the throughput times of individual development steps and uncovers delays caused by inefficient communication, unclear responsibilities or resource bottlenecks. By integrating data from different systems, Process Mining in pharma creates a holistic view, which ensures greater efficiency in drug development.

Clinical trials play a central role in the development of new drugs and their approval. Delays, protocol deviations or inefficient test procedures can slow down the entire development process and increase the time-to-market. Process Mining optimizes research data management by making the processes associated with clinical trials transparent through analysis and highlighting potential for optimization. The technology examines the course of the study and shows where bottlenecks occur or which administrative hurdles are delaying the process. With Process Mining for the pharmaceutical sector, protocol deviations can even be identified in preclinical studies and proactively rectified before they lead to regulatory problems.

Ensuring patient safety is a key concern for the pharmaceutical industry - adverse events can pose risks for patients as well as having significant legal and financial consequences. Process Mining brings transparency to adverse events by means of systematic case analysis - it links the data collected here with process data from IT systems and thus creates a comprehensive picture of the events and their causes. The technology enables patient safety process analysis by uncovering weaknesses in pharmacovigilance processes and identifying patterns in event reports.

The pharmaceutical supply chain has numerous dependencies between suppliers, manufacturers, logistics service providers and distributors. Process Mining provides supply chain transparency in the pharmaceutical sector by bringing together the scattered data from warehouse management systems, transportation management systems and ERP. The technology visualizes the actual process flows from order to delivery and identifies process variants, inefficiencies and their causes. Process Mining opens up concrete added value in logistics, as it reduces throughput times and improves delivery reliability.