Company and Stock Identity

How New York Cancer & Blood Specialists Connects to the Public Market

Company structure
Private physician practice
Market access
No current public listing was verified.
Research focus
A community oncology practice is a useful place to read an AI result, because it has no hospital budget to hide the cost in. Ask who counted the result and over how many of the 30 or more sites, since a single borough is not the whole practice. The figures in the public record here come from the vendor announcement, not from the practice's own reporting, so treat them as the vendor version until the practice itself says otherwise.

The practice's own pages, read on 2026-10-31, call it one of the nation's leading oncology practices and say its purpose is world class, patient centred, affordable care for people with cancer and blood disorders in their own communities. No owner, parent or investor is named anywhere public, and the news page is mostly new physician announcements and patient stories, so this reads as a physician owned practice. The DeepScribe announcement of 22 April 2025 says it has more than 30 locations and 35 hospital affiliations. Checked on 2026-10-31.

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First-Hand Company News

Latest Developments

... DeepScribe ... Company source

New York Cancer & Blood Specialists adopts the DeepScribe ambient system across its practice

DeepScribe said on 22 April 2025 that New York Cancer & Blood Specialists had adopted its Ambient Operating System. The announcement describes the practice as one of the leading oncology practices in the country, with more than 30 locations and 35 hospital affiliations, caring for people with cancer and blood disorders in their own communities. Dr Jeff Vacirca, an oncologist and the practice chief executive, and Matthew Ko, the DeepScribe chief executive and co-founder, are both quoted. The announcement gives no figures from the practice itself: no number of clinicians live, no time saved and no note accuracy measure.

Why it matters: The useful fact is the shape of the buyer. More than 30 sites with 35 hospital affiliations means the tool has to work across many different records setups and referral habits, not one tidy building, and that is where ambient documentation usually gets uncomfortable. A chief executive who is also a practising oncologist signing it off is a real signal too, because he has to use the thing he bought. What is not here is any result. An adoption announcement tells you a contract was signed, and that is all it tells you. The figures in the release come from the vendor, so a practice this size reporting its own numbers a year later would be worth far more than the announcement.

See company developments across the healthcare AI market.

Careers and Qualifications

What to Know Before Applying

Work areas: The careers site splits openings into physician roles and everything else, and describes the team as medical professionals working in oncology and hematology care. It names no disciplines or site counts, so you have to open the job list to see what is actually open.

Qualification signal: This is community oncology, which means the same clinician sees the patient through the whole course of treatment rather than handing them to a different service. People who have worked in an academic centre often underestimate how much of the job is continuity and local relationships. For anyone joining on the technology side, the signal is having rolled something out across many small sites rather than one large building.

Check current roles at New York Cancer & Blood Specialists. A careers page is the source of record for openings. This profile does not claim a role is open unless the company lists it now.

Related Healthcare AI Roles

Training to Compare

Buyer Snapshot

Best-fit buyer
Health system leaders, informatics teams, patient access and operations leads, and clinicians comparing notes with peer organizations
Primary use case
Deploy healthcare AI inside a care delivery organization and report what it changed
Typical deployment
Care delivery organization. AI usually arrives through the records system vendor or a direct vendor contract.

Evidence questions

  • Who at the health system counted the result, and over what stretch of time?
  • How many sites and how many staff were included, and was the rest of the system different?
  • Did the saved work disappear, or move to another team?

Regulatory and workflow questions

  • Which AI tools here touch a care decision, and which only handle paperwork?
  • Who signs off that a tool is safe to leave running on live patient data?
  • What is the published review process when a tool gets something wrong?

Data and contract questions

  • Which patient data leave the organization to reach the vendor, and how long are they kept?
  • Can the organization see and export the records the AI tool created?
  • Who is told when a vendor changes the model behind a tool already in use?

Evidence and Regulation

FDA Clearances on Record

No clearance is linked in this directory. That is not automatically a mark against the company. Some products support the people doing the work instead of reading a patient image or signal themselves.

First-Hand Sources