Future-ready Pathology: Embracing digital transformation for improved patient care
- Featuring |
- July 31 2025
- Duration 5: 11
Two leading European hospital networks—Hospital Universitario Quirónsalud Madrid, represented by Dr. Juan Pablo de la Fuente Escobar and the Groupe Hospitalier Paris Saint-Joseph and Hôpital Marie-Lannelongue, represented by Dr. Julien Adam—have transformed their pathology services through digital innovation, sharing their experiences and outcomes in close collaboration with Philips.
At-a-glance:
- Digital pathology enabled subspecialty-based collaboration across hospitals, improving diagnostic quality and operational flexibility.
- AI tools are being deployed to assist with lesion detection and quantification, enhancing both efficiency and diagnostic accuracy.
- Philips provided end-to-end support—from infrastructure planning to cloud integration—ensuring a smooth and scalable transformation.
- Cloud-based storage and intelligent retention policies streamlined data management and laid the foundation for integrated diagnostics.
At Hospital Universitario Quirónsalud Madrid, Dr. Juan Pablo de la Fuente Escobar, Head of the Pathology Department, digitized four public hospitals, enabling 38 pathologists to work fully digitally. Since 2017, over 5.6 million whole slide images have been stored in the cloud, supporting subspecialty-based diagnostics and improving quality and flexibility.
He also emphasized the importance of strong vendor relationships, noting,
At Groupe Hospitalier Paris Saint-Joseph and Hôpital Marie-Lannelongue, Dr. Julien Adam integrated pathology services across two sites using ergonomic image systems and high-quality scanners. Starting with a hybrid model, the team saw time savings and better collaboration and is now using AI for breast and skin pathology. Reflecting on the implementation, he shared,
Both institutions highlighted the value of scalable, cloud-based infrastructure in enabling AI integration and cross-site collaboration. As Dr. de la Fuente noted,
On the role of AI, he added,
Looking ahead, both teams are exploring integrated diagnostics that combine pathology and radiology data. With AI driving efficiency in high-volume cases and cloud systems reducing technical barriers, the future of pathology is increasingly collaborative, data-driven, and patient-centered.
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Disclaimer
Results are specific to the institution where they were obtained and may not reflect the results achievable at other institutions.
The information presented represents the views of the institution and speaking physicians, and not the views of Philips.