Company and Stock Identity
How Notable Health Connects to the Public Market
- Company structure
- Private company
- Market access
- No direct public shares are available.
- Category
- Patient Access and Engagement
- Research focus
- Verify which patient-access and administrative tasks are completed end to end, the exception work, EHR write-back, and whether the reported result survives beyond one workflow.
Notable is privately held.
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First-Hand Company News
Latest Developments
Sturdy Health booked mammograms with no staff calls, and 940 patients got the message
Notable published an account on 1 October 2026 of Sturdy Health using automated outreach to close breast cancer screening gaps. Reporting Sturdy Health's data across two outreach efforts, it says 940 patients were contacted and 11.6 percent engaged, that 77 percent of those who engaged completed the scheduling form, that 72 percent of engaged patients booked a mammogram, that 100 percent of appointments were booked by patients themselves with no manual staff outreach, and that everyone who rated the experience rated it positively. Omar Siddiqui, director of primary care at Sturdy Health, is quoted in the piece saying the programme is preventing breast cancer and that these patients are getting screened when they would not have been.
Why it matters: Read the funnel rather than the headline rates. An 11.6 percent engagement rate on 940 patients means roughly 109 people engaged, so the 72 percent conversion is a strong rate on a small base, and the whole exercise produced a modest number of mammograms. That is still worth doing, because it cost no staff calls at all, which is the real finding here. One framing needs care: screening does not prevent breast cancer, it finds it earlier, when treatment is usually simpler and more effective. The quoted claim is the health system's own words, and the measured result is appointments booked rather than any outcome.
Careers and Qualifications
What to Know Before Applying
Work areas: Healthcare automation, engineering, product, implementation, operations, customer success, and health-system partnerships.
Qualification signal: Implementation and process redesign are central because the product changes administrative work. Healthcare operations and EHR experience can be more valuable than a broad AI course.
Check current roles at Notable Health. 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 Healthcare Specialization ... Stanford University, delivered on Coursera, about 60 hours, 5 courses
- AI Fundamentals in Healthcare Certificate ... Western Governors University, about 3 months, 2 courses
Buyer Snapshot
- Best-fit buyer
- Digital front door, access center, ambulatory operations, patient experience, marketing, and scheduling leadership
- Primary use case
- Reduce friction in intake, scheduling, referrals, messaging, and patient routing
- Typical deployment
- Usually connected to EHR scheduling, contact-center, web, SMS, referral, and identity systems
Evidence questions
- What changes in completed appointments, abandonment, no-shows, and referral leakage?
- Which languages, accessibility needs, and patient populations were tested?
- How often does the system escalate, fail, or route incorrectly?
Regulatory and workflow questions
- Does the system provide clinical triage or only administrative routing?
- How are urgent messages and vulnerable patients escalated to people?
- What disclosures appear when a patient is interacting with AI?
Data and contract questions
- Which patient identifiers and conversation data are stored?
- How are EHR, scheduling, call-center, and referral permissions limited?
- Can the vendor separate service delivery data from model training data?
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.