Re-engineering of the Documentary Reporting System

Kedrion is an Italian biopharmaceutical company that collects and fractionates human plasma to produce and distribute worldwide plasma-derived therapies for the treatment and prevention of rare and serious diseases and conditions. The company puts its experience and commitment at the service of communities and healthcare systems around the world to help improve the lives of people affected by rare diseases and works globally to expand patient access to available therapies.

Customer Need

Kedrion's need was to re-engineer its document production system. The main requirement was to automate the reporting process to various regulatory bodies, minimising manual entries and reducing the likelihood of errors. The challenge included the automatic extraction of traceability data from PDFs of invoices, packing lists and quality certificates, characterised by a high variability of formats, and the validation of the extracted data.

Solution Implemented by Exprivia

Exprivia, a leading digital transformation company and trusted IT partner of Kedrion, designed and implemented an integrated solution to address the customer's document system challenges. The solution was based on a mix of advanced technologies, including SAP Fiori, AWS Textract, NLU (Natural Language Undestanding) and AI-Based technologies, to ensure efficiency and accuracy in data extraction and management.

Objectives Achieved and Benefits

During the document system improvement project for Kedrion, Exprivia introduced specialised technologies to automate processes and reduce manual intervention. Thanks to these intelligent technologies and the involvement of Kedrion's Global IT, it became possible to automatically extract data from PDF documents from multiple suppliers, characterised by a high rate of variability in both the type of information and the layouts of the documents themselves. Furthermore, the use of advanced templates made it possible to organise the extracted information into coherent and easily manageable data structures. The accuracy of the data was ensured through validation methods analysing the similarity between texts, ensuring a high level of reliability. The solution was designed following a modular approach, in order to make it flexible with respect to both the target systems to be integrated into, and any technological upgrades.

Conclusions

Kedrion Biopharma benefited from a significant optimisation of its document processes thanks to the integrated solution provided by Exprivia. The re-engineering of the system has led to a reduction in input times, a decrease in the likelihood of human error and greater overall efficiency, allowing Kedrion to improve one of its key processes.