Qventus
AI teammates that automate hospital operations—surgical growth, perioperative coordination, and inpatient capacity.
By Qventus · 4.0/5 Value-Position score (estimate)
Positioning guardrails
Best for
- Health systems and hospitals automating perioperative and inpatient capacity operations
- Perioperative leaders working to cut surgical cancellations and scale pre-admission testing
- Operations and nursing executives targeting length-of-stay and excess-day reduction
- Health-system IT teams that want AI automation layered on an existing EHR
Ideal size: Enterprise health systems (500+ beds) people · Multi-site health system with mature EHR data and central operations leadership
Not for
- Independent physician practices, dental offices, or behavioral health clinics
- Buyers who need self-serve signup or published per-seat pricing
- Organizations without an analytics-ready EHR data feed
- Small facilities with no inpatient beds or surgical service lines
Value metrics scorecard
Time-to-Value
3–6 months (enterprise deployment)
~120 days to first production value
Total Cost of Ownership
On request
Custom enterprise subscription; pricing not published publicly
Implementation Friction
4/5
Engineering + admin effort required
Value-Position score
out of 5 · model estimate
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
Not published; enterprise-wide agreements
Add-on costs
- None
Company & support
Who is behind Qventus, and how your team gets help once it is live.
Company
- Founded
- 2012 · 14 yrs in business
- Headquarters
- Not recorded
How you get support
- PhoneNot listed
- EmailPlan not stated
- Live chatNot listed
- Support portal / ticketsNot listed
- Community forumNot listed
- Help centre / docsNot listed
- Dedicated account managerNot listed
- In person / on-siteNot listed
- Hours
- Not recorded
- Response time
- Not stated
Dedicated client support teams handle onboarding, training, documentation, and troubleshooting; [email protected] and [email protected] are published for Perioperative and Inpatient clients respectively.
“Not listed” means the vendor’s public pages don’t mention that channel, not that it is unavailable. Ask about it during evaluation.
Market position
Where Qventus sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.
Quadrant view
Typical annual cost × Time-to-value
The lines cross at the median of the solutions shown, so about half sit on each side of each line.
Companies on the chart 6 / 10
- Qventus
- Notable
- Anterior
- Planet DDS
- Matrix42
- Suki
Add or change companies
Up to 10 companies including Qventus. Listed closest first.
Stack fit signal
Compatibility with standard B2B ecosystems.
No supported MCP path today, so it cannot be driven from an AI client.
AI & MCP readiness
What Qventus ships in AI, and what it asks of your ecosystem.
AI features shipped
Vendor describes AI Operational Assistants that 'take immediate action on below-license administrative tasks' rather than only recommending them, plus predictive models for discharge timing and patient flow. No source specifies the underlying model, hosting, or per-action AI audit/export capability.
Your data & models
- Trains on your data
- Not recorded — ask the vendor
- Runs on
- Not recorded
- AI pricing
- Not recorded
In your ecosystem
- AI connection
- Not supported
- Model key
- Not recorded
- AI usage audit
- Not recorded
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
Qventus provides AI Operational Assistants and prescriptive analytics that automate hospital care operations: surgical growth, perioperative care coordination, and inpatient capacity. Embedded in the EHR, its AI teammates act on below-license administrative tasks—optimizing OR schedules, scaling pre-admission testing, and generating early discharge plans. Health systems report up to 40% fewer surgery cancellations, 15–30% fewer excess days, and higher staff productivity. Founded in 2012 and sold directly to hospitals and health systems, pricing is not published.
Frequently asked questions
What does Qventus actually automate?
Qventus deploys AI Operational Assistants that take action on administrative work rather than only recommending it. Its published solutions cover surgical growth, perioperative care coordination (including pre-admission testing), and inpatient capacity management such as discharge planning.
How is Qventus different from what our EHR already offers?
Qventus positions itself as a dedicated AI operations layer that sits alongside the EHR rather than an EHR module. The vendor publishes customer commentary stating Qventus is 'vastly superior to anything our EHR would bolt on,' and cites outcomes such as 40% fewer surgery cancellations and 15–30% fewer excess days.
How is Qventus priced?
Pricing is not published on Qventus's public pages. Buyers should expect a custom enterprise subscription negotiated directly with the vendor; the sales process starts with a demo request.
How long does implementation take?
No public timeline is stated on the reviewed pages. The product is embedded into the EHR and sold to health systems, so buyers should plan for a multi-month enterprise deployment and validate timelines, integration effort, and required data feeds during contracting.
How do we get support after go-live?
Qventus publishes dedicated client support teams reachable by email—[email protected] for Perioperative clients and [email protected] for Inpatient clients—covering onboarding, training, documentation, and troubleshooting. Support hours and SLA commitments are not published.