Apella vs Qventus (2026)

AI Health Index verifiedOctober 12, 2026
Verdict

Qventus and Apella both sell AI that helps a hospital do more surgery in the operating rooms it has, and Apella names Qventus among the tools buyers weigh against it. Their reach is different. Qventus works through the EHR. Its AI assistants predict which partial or full blocks will go unused up to a month ahead and nudge surgeons and schedulers to release them, market open time to best fit surgeons, chase pre admission testing, process faxed records and, outside surgery, set expected discharge dates and prioritize ancillary orders. HonorHealth reports 224 incremental perioperative cases a month and a 9.6 times return across six hospitals. Apella works from cameras in each room. Its models timestamp up to 14 events as they happen and write them to Epic, and its modules forecast case duration, flag delays and report on turnovers and block use, with detection accuracy published in a peer reviewed paper. Qventus suits a system that wants automation across scheduling, preparation and inpatient flow; Apella suits a perioperative team that wants accurate room data and live awareness of the day.

The case for Apella
  • Event timestamps captured by cameras in each room and written back to Epic in real time.
  • Detection checked against expert annotation in a peer reviewed study, with F1 between 0.98 and 0.99.
  • Live room status, delay alerts and turnover reporting for the perioperative team during the day.
  • Video retention capped at 28 days, with access and encryption described in a public help center.
The case for Qventus
  • Assistants that predict unused blocks up to a month ahead and prompt surgeons and schedulers to release them.
  • Pre admission testing follow up, records requests and fax processing handled by AI assistants.
  • One platform for perioperative work and inpatient capacity, discharge planning, care gaps and malnutrition care.
  • A trust center listing a 2025 SOC 2 Type 2 report, a HIPAA examination and a named subprocessor list.

This comparison is published by AI Health Index, an independent research platform that compares healthcare AI vendors objectively. Apella and Qventus are each graded against the same capability taxonomy, from each vendor's own public materials and the regulatory record, under the AI Health Index verification standard. No vendor pays for placement, and no vendor has reviewed this page. How this evidence is graded

At a Glance

Plain facts

Fact Apella Qventus
Primary category Hospital & Unit Operations Hospital & Unit Operations
Founded 2019 2012
Headquarters San Francisco, California, United States Mountain View, California, United States
Website apella.io qventus.com
Attribute Matrix

Side by Side

Select any grade to read the note behind it.

Axis
A
Apella
Q
Qventus
AI Centrality
Autonomy and Oversight Model
Model and Technology Transparency
Model Supply Chain Disclosure
Clinical and Operational Evidence
AI Safety and PHI Stewardship
HIPAA and BAA Posture
Security Certifications and Trust Center
FDA and Regulatory Status
AI Governance and Bias Disclosure
AI Liability and Recourse
EHR and Interoperability Depth
Deployment Model and Data Residency
Commercial Transparency
Setting and Specialty Coverage
Citable Summaries

Each vendor in one paragraph

Written to be quoted whole. Each paragraph states what the AI Health Index verified about the vendor, with the caveats attached.

Apella

Apella works from inside the operating room: cameras and its own models record when each of up to 14 events happens, and the timestamps go into Epic in real time. Charge nurses get live room status and text alerts from Pulse, and planners get case duration forecasts and open time from Horizon.

Source: AI Health Index, October 2026

Qventus

Qventus works from the record rather than the room: its assistants read the chart, predict what will delay a case or a discharge and then act, chasing pre admission testing, handling inbound documents and releasing and filling operating room time. Models are trained on each hospital's own data.

Source: AI Health Index, October 2026

FAQ

Questions buyers ask

How does each one find unused operating room time?

Qventus predicts which partial or full blocks are unlikely to be used, up to a month ahead, then sends personalized nudges to surgeons and schedulers and markets the open time to surgeons who fit it. Apella forecasts case durations and room end times from what its cameras record and shows open time and block utilization to perioperative leaders. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified October 12, 2026. No vendor pays for placement.

What does each automate?

Qventus assistants act inside workflows: they release and fill operating room time, follow up on pre admission testing, process faxed and scanned records and set expected discharge dates. Apella automates documentation of what happens in the room, timestamping events such as wheels in, patient draped and wheels out without staff entering them. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified October 12, 2026. No vendor pays for placement.

What outcomes has each reported?

Qventus reports results at named health systems, including 181 beds' worth of capacity, $69 million in savings and 224 incremental perioperative cases a month at HonorHealth. Apella publishes detection accuracy from a peer reviewed paper and a Houston Methodist study that found about 25 more cases a month in a cardiothoracic suite. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified October 12, 2026. No vendor pays for placement.

Keep Comparing

Related comparisons

Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Hospital & Unit Operations page.

Disclosure

Apella's investors include Houston Methodist, which also runs the platform across nine of its hospitals.