Company and Stock Identity
How Compassus Connects to the Public Market
- Company structure
- Private company
- Market access
- No current public listing was verified.
- Research focus
- When a provider reports a result from an AI tool, ask who counted it. Compassus helped build Commure Orchestrator, so its published numbers are a founding partner describing its own work rather than an outside test. The scale is the part worth using: its own pages say hospice, home health, palliative care, home infusion, advanced care management and skilled nursing at home, with locations in more than 30 states, and its careers site says more than 10,000 teammates across 33 states. The referral results cover 79 programmes in 19 states, which is a slice of that, so do not read the numbers as the whole organisation.
The Compassus news page, read on 2026-10-31, carries the company's own announcement dated 11 August 2026 that it ranked number 3,931 on the 2026 Inc. 5000 list of the fastest growing private companies in America, which is the company saying in its own words that it is privately held. No owner, investor or parent is named anywhere on its public pages. The same news page uses two joint venture brand names, Ascension at Home Together with Compassus and Bon Secours Home Care by Compassus, so some locations are run with a hospital partner. Checked on 2026-10-31.
Open the public company market data feed for the full directory, ownership relationships, stock identifiers, and dated snapshots.
First-Hand Company News
Latest Developments
Commure and Compassus report a 64 percent faster referral decision across 79 home care programmes
Commure said on 13 October 2026 that it and Compassus together built Commure Orchestrator, a referral automation product now running across 79 Compassus programmes in 19 states and handling more than 500,000 referrals a year. The announcement says referral to decision time fell 64 percent, missed referrals fell 22 percent, admissions rose 6 percent, and manual processing time went from about an hour to under ten minutes. It says the product pulls referrals in from fax, email and insurance company portals onto one screen, covering more than 1,400 team members, more than 8,500 referring facilities and 2,500 insurance plans, and that about 80 percent of team members reported high satisfaction in early surveys. Evan Kramer, the Compassus senior vice president of innovation and operational excellence, is quoted saying the focus is getting patients home from hospital and settled into care as soon as they are ready. Dan Warner, the Commure president of enterprise, is quoted saying the handoff to post acute care has run on fax machines for decades.
Why it matters: The admissions figure is the one that pays for this. A 6 percent rise on more than 500,000 referrals a year is real revenue, and it is the kind of number a finance team can check against its own books. The 22 percent cut in missed referrals is the care side of the same thing, because a missed referral is somebody sitting in a hospital bed they no longer need. Two cautions. Compassus helped build the product, so this is a founding partner reporting on its own work rather than an outside test. And the announcement gives no starting figures, so a 64 percent cut could mean four days down to one or an hour down to twenty minutes. The processing time line suggests the smaller version.
Careers and Qualifications
What to Know Before Applying
Work areas: The careers site hires registered nurses, licensed practical nurses, physical therapists, occupational therapists and administrative staff across hospice, palliative care, home infusion and home health. It says the organisation has more than 10,000 teammates and more than 3,000 volunteers across 33 states, with an average tenure of 15 years.
Qualification signal: Home based care is mostly judgement in somebody's home with no colleague down the corridor, so the experience that matters is working alone and deciding alone. For anyone joining the operations or technology side, the useful background is referral intake and payer rules, because that is the work the AI project was built around.
Check current roles at Compassus. 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
- 10x10 informatics courses ... American Medical Informatics Association, six units, 4 to 8 hours a week
- AI in Health Care: From Strategies to Implementation ... Harvard Medical School, promoted and enrolled through Emeritus, 8 weeks, 4 to 6 hours a week
- AI in Health Care Certificate of Specialization ... Harvard T.H. Chan School of Public Health, three courses within five years
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.