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Home > Digital Pathology Podcast > Digital Pathology for Dermatologists. How Pathology Watch managed to incorporate digital pathology in dermatology practices across the US w/ Dan Lambert, Pathology Watch
Podcast: Digital Pathology Podcast
Episode:

Digital Pathology for Dermatologists. How Pathology Watch managed to incorporate digital pathology in dermatology practices across the US w/ Dan Lambert, Pathology Watch

Category: Science & Medicine
Duration: 00:23:13
Publish Date: 2022-04-25 19:00:00
Description:

Digital pathology is supposed to help pathologists provide better patient care and make their lives easier, but what about other doctors, do they even care? Maybe radiologists? Oncologists? Nope…Dermatologists! They do care!

And they are the clients of Pathology Watch – a CLIA lab specializing in dermatopathology, that is currently servicing samples from over 65 dermatology clinics in the USA. 

Pathology Watch provides an end-to-end digital pathology solution for dermatologists. From processing the samples sent by the dermatologists, through the dermatopathology report to the whole slide image of the diagnosed sample, and all this integrated with the dermatology clinic’s electronic medical record (EMR) systems and browser-based. This provides a totally non-disruptive workflow. 

Pathology Watch is providing a true end-to-end solution built around dermatologists. 

The EMR integration saves the dermatologists time (25h/ month!!! Who would not want to have that?!?) and whole slide images build the bridge between and improve the communication on the “patient-dermatologist-pathologist” line. 

Dermatologists can show the images of the cases to the patients, and they can see the highlighted areas used by the pathologist when diagnosing the case.  

Once the digitization and intersystem integration take care of the time savings it’s time to step up the game!  The next step is using artificial intelligence for better dermatopathology diagnostics and to gain even more time savings 

Pathology Watch designed its AI pipeline specifically to bypass the known industry problem of generalizability of AI models. 

It is extremely difficult to train generalizable models on samples from different institutions, but if the samples are processed in just one lab in a very controlled environment, using automated equipment and performing rigorous quality control, the problem is taken care of. 

Like in any digital pathology operation troubleshooting is part of the business. What do you do when your scanner breaks down? How do you store the digital pathology images effectively in a cost-efficient way? And how do you deliver the slides in the browser FAST? 

It took the Pathology Watch team a few years to solve those and other challenges and come up with good mitigation strategies. 

Do you want to know how they did it? Listen to the full episode to learn more from Dan Lambert, the CEO of Pathology Watch

 

This Episodes resources

Pathology Watch website  

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