Qventus streamlines key challenges faced by modern hospitals by using artificial intelligence to detect operational bottlenecks and recommend immediate remedies. From reducing length of stay to optimising discharge scheduling, Qventus focuses on predictive analytics that help clinical and administrative teams make real-time decisions without juggling manual spreadsheets or phone calls. Its software synthesises data from patient admissions, EHR notes, and census records, automatically surfacing action items for care teams. This greatly reduces the time spent chasing routine tasks, such as verifying orders or coordinating bed availability.
Fully embedded workflows allow nurses and physicians to stay in their existing EHR environment, minimising disruptions to day-to-day routines. With real-time insights, Qventus ensures that essential steps—like early discharge planning and sequence prioritisation for diagnostic procedures—happen promptly. This helps healthcare organisations cut excess days, reduce staff burnout, and increase capacity for patient intake By harnessing a combination of machine learning and behavioural science, Qventus automates the identification and escalation of likely delays. Whether it’s coordinating ancillary services or matching surgical slots to the right surgeons, these dynamic automatisations enable a more seamless patient journey through the hospital, improving clinical outcomes and reducing costs across the entire system.
✅ Predictive analytics for hospital capacity and patient flow
✅ Automated prioritisation of care steps to reduce excess days
✅ Fully embedded discharge planning tools within existing EHR workflows
✅ Real-time alerts for operational bottlenecks and likely patient risks
✅ AI-driven suggestions to free up inpatient and surgical capacity
⚡ Setup Time: Typically completed within weeks.
⏱ Time Saved: Up to several hours per day.
🛠 Integration Difficulty: Moderate for complex EHR environments.
💰 Return on Investment: Can yield significant cost savings quickly.
📘 Ease of Use: Generally straightforward for clinical teams.
For hospitals and health systems of all sizes, Qventus enables real-time detection of care gaps and bottlenecks that often go unnoticed. A mid-sized community hospital might integrate Qventus to receive early alerts on potential discharge delays, drastically reducing the average length of stay for patients with common procedures such as hip replacements. This not only improves overall throughput but also frees limited nursing resources for critical cases. Meanwhile, a large academic medical centre can use Qventus to automate surgical slot management, matching unfilled OR times with surgeons who most frequently need additional capacity. These automated scheduling insights help keep operating rooms fully booked while minimising exposure to last-minute cancellations.
In smaller GP practices that coordinate admissions with larger facilities, Qventus’ automation supports more efficient patient transfers and discharge handoffs. Staff can spend less time calling hospital departments to confirm availability or update care plans, devoting more direct attention to consultations and clinical follow-ups. By tailoring how discharge milestones and tasks are tracked, front-line teams streamline the overall patient flow from a primary care appointment to a successful hospital admission and back again.
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Pricing details are currently not publicly available. Please visit the product website to enquire about a demo and receive a quote tailored to your needs.
Commonly asked questions about this tool by businesses
No. Qventus operates as a cloud-based solution and integrates directly with existing EHR systems without requiring extra hardware on-site.
Most care teams can begin using Qventus effectively with a concise onboarding period and minimal training sessions.
While many larger hospitals use Qventus, smaller clinics can also benefit from automated process improvements and discharge coordination.
Yes. Qventus tracks historical metrics through its analytics dashboards, allowing care teams to gauge performance, spot improvement areas, and track progress.
Multiple modules exist for perioperative cases, inpatient units, and other hospital segments, with flexible settings to match the workflow of specific domains.
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