Healthcare & Public Health
Operational AI for hospitals and public programmes — with people in control.
We focus on flow, paperwork and programme reach. Always human oversight. No diagnostic-accuracy claims.
Solutions
Where we put AI to work
Patient-flow & operational analytics
See bottlenecks across admissions, beds and discharge, and act earlier.
Records & claims document automation
Read, classify and check records and claims documents, with exceptions routed to staff.
Rural-health programme analytics
Track tests performed and medication reach across programmes and regions.
Conversational access to ERP/CRM data
Ask questions of operational systems in plain language.
Quadratyx AskQ
AI applications
Ten AI applications for Healthcare & Public Health
Patient-flow forecasting
Forecasts arrivals and bed demand so staffing matches the week ahead.
Data needed
Admissions and ED arrival history
Live demo available
Records and claims document automation
Extracts fields from referrals, claims and requests, with low-confidence fields sent to staff.
Data needed
Referral letters, claim forms, lab requests
Live demo available
Pharmacy and supply stock forecasting
Forecasts medicine and supply demand to reduce stock-outs and waste.
Data needed
Dispensing and stock records
Appointment no-show prediction
Flags appointments likely to be missed so teams can remind or rebook.
Data needed
Appointment history
Rural-health programme analytics
Tracks tests delivered and medication reach across programmes and regions.
Data needed
Programme records, facility reports
Bed and theatre scheduling
Supports bed and theatre schedules that match demand and staff.
Data needed
Bed census, theatre lists
Claim-denial prediction
Flags claims likely to be denied so they are fixed before submission.
Data needed
Claims history, denial reasons
Staff rostering
Builds rosters that match forecast demand and staff rules.
Data needed
Staff lists, shift rules, demand forecasts
Claims fraud, waste and abuse detection
Ranks unusual claims for investigator review.
Data needed
Claims data, provider data
Conversational access to operational data
Ask questions of operational systems in plain language.
Data needed
ERP/CRM and operational systems
Quadratyx AskQ
AI Tools
Assess, try and explore the tools
01 · Quick assessment
Four questions. A score, three recommendations and matched evidence.
What type of organisation are you?
02 · Live demos
Try it on synthetic sample data
Demo on synthetic sample data, not client data
Patient-flow forecast
Sample daily emergency arrivals for a hospital over 84 days. The 7-day forecast averages the same weekday over the last four weeks, adjusted for the recent trend. Staffing assumes 14 arrivals per nurse shift.
■ last 21 days · ■ 7-day forecast
| Day | Mon | Tue | Wed | Thu | Fri | Sat | Sun |
|---|---|---|---|---|---|---|---|
| Forecast arrivals | 222 | 200 | 182 | 174 | 187 | 166 | 152 |
| Suggested nurse shifts | 16 | 15 | 13 | 13 | 14 | 12 | 11 |
Busiest forecast day: Mon. A suggestion for the rota planner to review. Week starts Mon.
Demo on synthetic sample data, not client data
Document reader
Pick one of 7 sample documents: referral, claim and lab request (healthcare), batch record (pharma), RFI (construction), bill of lading (logistics) and permit application (government). AI extracts the fields; confidence is then checked in code against the document text, and anything below 80% is flagged for human review. Sample documents only — no uploads, so no personal or client data ever enters the site.
RIVERSIDE FAMILY PRACTICE (synthetic sample) Date: 03/09/2026 To: Cardiology Outpatients, Central Hospital Re: Patient Alex Morgan, DOB 14/02/1971 Dear colleague, I would be grateful if you could see this patient for assessment of intermittent palpitations over the past two months. ECG attached. Urgency: Routine Yours sincerely, Dr J. Ok[smudged] — GP