Accelerating Histopathology Workflow at Boehringer Ingelheim

Written by Célia Gasselin | Jun 10, 2025 2:45:37 PM

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Key Results:

Challenge: Boehringer Ingelheim, a leader in pharmaceutical research, faced the challenge of optimizing its histopathology workflow to enhance efficiency and data quality. Scientists were bogged down by manual processes, such as logging data in Excel tables and transcribing feedback from sticky notes, which delayed assay development and data analysis.
Solution: To address these challenges, Boehringer Ingelheim implemented Labtwin’s digital lab assistant. This innovative solution enabled hands-free digital data capture, allowing scientists to document and share findings instantly using voice recognition technology.
Impressive Impact: The integration of Labtwin resulted in significant improvements across Boehringer Ingelheim’s workflow with 2 hours saved weekly by digitizing documentation on the spot, an 83% increase in productivity by reducing review time from hours to minutes and 70% more data to be leveraged for model training, accelerating computational analysis.
(Full workflow details in the case study PDF)

Boehringer Ingelheim, a leading research-driven pharmaceutical company, is committed to innovation as a means to enhance performance and create value. To expedite their R&D efforts while ensuring comprehensive data collection, they have embraced cutting-edge technology in data capture and opted for LabTwin's real-time voice recognition and mobile technology solution.

The utilization of LabTwin for histopathology data collection delivered significant efficiency and data quality improvements. By simplifying documentation, reducing interruptions, and enhancing the volume of insights captured, the team accelerated their assay development workflow, improved data analysis, and fostered FAIR (Findable, Accessible, Interoperable, and Reusable) data practices through a shared database of available resources.

Boehringer Ingelheim's successful implementation of LabTwin is part of a broader initiative to provide R&D scientists with advanced digital tools. The digital lab assistant is now being leveraged by several other teams across multiple sites to optimize lab operations and accelerate time-to-market.

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