Philips has released its next-generation digital pathology system, putting digital pathology at the center of enterprise-wide healthcare informatics.
IntelliSite, a scalable set of software tools and capabilities from Philips, is meant to help pathology labs optimize workflows, improve diagnostic confidence, facilitate team collaboration, incorporate artificial intelligence (AI), and increase efficiency.
Philips Digital Pathology Suite provides a variety of solutions for various use cases at a low cost of ownership. From low-volume ‘spoke’ labs or small independent labs processing and scanning small batches of slides on a regular basis to medium and large labs with high-volume batch processing operations.
Multi-layer slide scanning is also built into the hardware. Images are collected in a centralized informatics platform that has been tailored to pathologists’ workflows and integrates with leading third-party AI tools and algorithms in order to minimize laboratory expenses while improving diagnostic skills.
A precise diagnosis and personalized treatment pathway selection for cancer patients are only possible when data and specialists work together harmoniously, according to Philips’ Louis Culot, general manager of oncology informatics at the company. Combining many aspects of healthcare, such as radiography, pathology, and genetics is essential for a novel approach to diagnostic precision. This is why. Philips Digital Pathology Suite promotes pathologists as major partners in the future data-driven healthcare systems by offering them with interoperability and connectivity to share high-quality images and diagnostic insights across networks.”
An advanced image management system is included in the Digital Pathology Suite, as is bidirectional interoperability with laboratory information systems, as well as an image viewer that facilitates multidisciplinary case reviews and care pathway selection. The Digital Pathology Suite also includes three pathology slide scanners and the Pathology Workspace – Image Management System. Advanced methods, such as automated tissue shape identification and non-rectangular optimization of regions of interest, can increase diagnostic confidence. Patient-centric histology data can be easily shared across enterprises and between sites thanks to vendor-agnostic data interoperability.
“MEDIPATH is focused on speeding the route of augmented pathology through slide digitalization on all our technological platforms,” stated Stephane Rossat, director of innovation, science, and project management at MEDIPATH, a French pathology firm with a network of 11 technical labs. For each of our facilities, we are very delighted to use the new Philips Digital Pathology Suite, which includes the Pathology Scanner SG300 and Pathology Workspace with de-identification capabilities. Following the initial installation, the solution has proven to be simple to use, with photos being generated more quickly and with greater quality and sharpness. Our organization requires the Philips Digital Pathology Suite to expand our digital pathology capabilities and kick start our transition.”
Because of the rise of precision medicine, pathology labs around the world are struggling to find qualified employees who can handle the growing volume and complexity of work. Oncologists use a combination of pathology and other data, including radiology and genetics, to diagnose and stage cancer with the precision needed for highly individualized care. A pathology lab’s human resources can be better utilized by combining operational efficiency, teamwork, sharing of expertise, and enterprise-wide informatics.
The Precision Diagnosis portfolio, which includes smart diagnostic systems, integrated workflow solutions with the goal of transforming departmental operations, advanced informatics that improve diagnostic confidence, as well as care pathway solutions that enable medical professionals to tailor treatment to individual patients, is being expanded by Philips through breakthrough innovations and strategic partnerships. With the development and integration of artificial intelligence-enabled applications, the company hopes to improve its ability to transform data into actionable insights and to deliver the appropriate care in the appropriate sequence at the appropriate time.
