Subspecialty pathology, built to scale
Most companies sell hospitals a tool, or a network. We become the subspecialist. We're starting in gastrointestinal (GI) pathology, the richest, most understaffed niche in pathology, then running the same engine across every subspecialty a community lab can't staff.
The bigger bet
A pathologist at a community hospital reads everything that comes through the door: breast, GI, GYN, GU, skin. Not because she trained in all of it. Because there is no one else.
That is true in GI today. It is just as true in breast, GU, GYN, and dermatopathology. Digislide starts in GI because that is the subspecialty our founder already practices, with hospital relationships she already has. The fix is the same no matter the tissue type: lease a scanner, sign a hospital, recruit a subspecialist, sign out a report in 24 to 48 hours. Prove that once, and the same steps run again for the next subspecialty.
The proof: gastrointestinal pathology
GI is the richest, most underserved subspecialty in community pathology, and the one our founder has lived from the inside. Prove the model here, the clinical relationships, the turnaround, the outcome data, and the same engine extends to every other subspecialty a community lab cannot staff.
The active US pathologist workforce declined 17.5% between 2007 and 2017, while diagnostic case workload rose 41.7%. (JAMA Network Open)
How it works
Your lab scans the slide, or ships it. No new scanner required to start a pilot.
The case is logged and routed to the right subspecialist for that tissue type.
The right board certified subspecialist reviews the slide and drafts the report.
The signed report returns to your lab, typically within 24 to 48 hours.
Cases don't stop coming in because a lab is short staffed. They just wait longer.
Subspecialty coverage is hardest to staff at exactly the hospitals that need it most: smaller, community based labs without the case volume to justify a full time GI pathologist. Digital slide scanning has made remote review practical. Digislide exists to connect the case to the right reader fast, without asking a community lab to take on a major infrastructure project first.
Why this compounds
A platform sells the hospital software and calls it done. Someone on staff still has to find a subspecialist willing to sit down and read the case.
A network finds whoever is free right now. A different reader every time. Nothing about this patient's last biopsy carries forward to the next one.
Digislide reads the case. The same structured notes follow that patient's next biopsy, and the one after that, because the same network keeps reading it.
None of this needs new technology. It needs a subspecialist willing to read the case and a hospital willing to send it. We already have both, in GI, in New England, right now.
Founder
Debasmita Das, MD is a GI pathologist trained at Harvard Medical School and BIDMC, with years spent practicing as a pathologist across New England hospitals.
She built Digislide after living the problem herself: complex GI cases sitting in a queue because the subspecialist the case needed simply wasn't on staff. Digislide is the service she wished existed every time that happened.
The plan is to repeat this in subspecialty after subspecialty: prove the model with deep clinical trust and outcome data, then move to the next gap a community lab cannot staff.
Signed out by D. Das, MD
Roadmap
Subspecialty teleconsultation live with pilot community hospitals. This is where the outcome linked data engine gets built.
The same playbook, clinical trust plus structured outcome data, runs on breast, GU, GYN, and dermatopathology, one subspecialty at a time.
AI assisted tools trained on outcome data across every subspecialty we cover. Every case is still signed out by a pathologist.
Tell us about your case volume and we will set up a pilot.
Reach out directly and we will follow up within a few days.
Email deb@digislide.ai