Listens to your data
Appointments, admissions, pharmacy, billing and fleet events stream into one model — securely, in real time.
Intellect learns the rhythm of your clinic — forecasting crowds, revenue dips and staffing crunches before they land, and supporting safer choices at the point of care. Explore the four capabilities below.
Hour-by-hour predictions of who walks through your doors, learned from seasonality, day-of-week, weather and local events. Staff the front desk and labs before the queue forms — not after.
Forecast my OPDAt the moment of prescribing, Intellect checks the patient's record for drug interactions, allergies and safe dosing — surfacing the right guidance in context, so the safer choice is the easy one. Designed to inform clinicians, never to replace their judgement.
See CDS in actionProjected billing by department with variance alerts. Plan budgets, staffing and procurement on a clear signal instead of last quarter's guesswork.
Project my revenueWard-level workload forecasts let you roster the right people in the right place. Intellect turns predicted demand into a staffing recommendation you can act on.
Balance my rostersAppointments, admissions, pharmacy, billing and fleet events stream into one model — securely, in real time.
It learns the seasonality, day-of-week rhythms and demand signatures specific to your site — and the clinical rules that keep prescribing safe.
Forecasts arrive as plain-language recommendations — staff this, stock that, prepare here — not raw charts to decode.
*Illustrative; accuracy varies by hospital and data history.
No. Clinical decision support informs clinicians and can always be overridden, and forecasts inform planning. People stay in charge.
Accuracy depends on your data history and improves as Intellect learns your site. It is a strong planning signal, not a guarantee.
It learns from your own appointment, admission, pharmacy, billing and fleet events — securely, within your Garuda environment.
No — we tier alerts by severity and tune them continuously, so clinicians get fewer, better-judged interruptions.
No. Forecasts arrive as plain-language recommendations and decision support appears in context at the point of care.
A first model typically needs a few months of history; accuracy then improves as Intellect keeps learning your site.
No. Intellect learns within your own environment; your data is never pooled to train models for other clinics.
Yes — alerts are tiered by severity and configurable, so you decide what interrupts and what stays passive.
Intellect builds on the data your other modules already capture. Talk to us about enabling it for your clinic.
A 30-minute walkthrough with our team, tailored to your hospital's size, departments and ambitions — no slide-ware, just the product.