01
Ingest the schedule
Upload or sync the upcoming day's appointments. No patient names leave the clinic — only the features that matter for risk prediction.
Outpatient & behavioral health · no-show risk · UAE + GCC
See the gap before the chair goes empty.
Noshight scores every upcoming appointment for no-show risk with a self-learning scorer that sharpens with each outcome. Schedulers see a risk tier before the slot, not after the gap. Start with a clearly synthetic seven-appointment week, then move to one monthly clinic offer.
- 21features in the self-learning risk scorer
- 3 tiershigh · medium · low risk per appointment
- 0patient identifiers leave the clinic
How Noshight works
Three layers between the schedule and the empty chair.
Noshight runs a self-learning, weighted risk scorer over 21 features, with a recalibration loop. Every outcome that posts back (did the patient show, did they cancel, did they no-show) sharpens the next day's scores. A gradient-boosted model is on the roadmap once the outcome data justifies it.
02
Score each slot
Each slot gets a risk score and a feature breakdown. Why this patient, why this slot, why this tier, visible per row from the weights that drove it.
03
Self-learning loop
When the outcome posts back, the model adjusts. Tomorrow's prediction is sharper than today's. The clinic teaches the model by running.
The CFO read · behavioral health
Behavioral health denials start on the schedule.
Behavioral health runs on continuity. When attendance fragments, the care episode a payer expects to see breaks, and the claim that follows is reviewed, downcoded, or denied. The risk tier a scheduler uses to fill the day is the same signal a finance lead can use to see which revenue is exposed, before the visit is ever missed.
A
Attendance is a billing input
Missed and rescheduled visits fragment the treatment record. Authorization windows lapse and frequency rules trip, and a clean session becomes a contested line.
B
Read the tier as revenue
Every high tier slot is a claim at risk. Working the tier before the day protects the visit and the reimbursement attached to it.
C
One signal, two buyers
Schedulers use the tier to fill the day. Finance uses the same tier to forecast collections and defend them. No second tool, no second integration.
Trust architecture
Predictable model, predictable footprint.
No PHI egress
Patient identifiers never leave the clinic. Only de-identified features cross the wire for scoring.
Explainable per row
Every risk tier is defensible. You see the feature weights driving the score before you call the patient, not a black box.
One clinic offer
AED 2,500 per month for the agreed clinic workflow: schedule ingest, per-slot risk tiers and explanations, recommended actions, outcome tracking, and onboarding.
Your no-show exposure
Put your own numbers in. Read the price against them.
No US averages, no borrowed vendor figures. Enter your clinic's volume, your no-show rate, and your revenue per visit in AED. The calculator shows the revenue your no-shows expose each year and a conservative recoverable band, then sets the monthly price against it.
Conservative reduction band
30%
A user-selected planning assumption, not a Noshight outcome claim.
Fill in the three fields and the exposed revenue, the recoverable band, and the payback in visits will appear here.
Annual revenue exposed to no-shows
AED 0
Recoverable at 30% reduction
AED 0
Monthly clinic offer · AED 2,500
Illustrative estimate from your inputs. Not a guarantee of results.
Independent context only — not Noshight proof: Emirates Health Services reported a reduction from 20.82% to 10.25% across 135,393 primary-care appointments. Peer-reviewed EHS study. EHS is not presented as a Noshight customer or deployment, and its result is not a promise of Noshight performance.
Request checkout activation · AED 2,500/mo
Card checkout stays closed until the exact price ID and paid-onboarding fulfillment are wired.