Operational answers while records stay in the hospital.
Compute waiting times, census and staffing analytics inside the hospital's environment. Patient records stay in the approved stores; minimum cohort rules suppress results for groups below the configured threshold.
Operational questions follow the encounter.
Every stage of the encounter writes to systems that must stay where they are.
Admission
The encounter starts. Demographics and coverage land in the ADT system.
records stay in the hospital's environment
Triage
Acuity and queue decisions. The wait clock starts here.
Treatment
Bed management, staffing against demand, length of stay.
staffing analytics run beside the rosters
Discharge
Disposition coding and follow-ups close the encounter.
Reporting
Waits by shift, census by unit, staffing reviews. Results below the cohort floor are suppressed before anyone sees them.
Analytics computes beside the ADT and staffing stores
aggregation floors · results below a minimum cohort size are suppressed in the plan itself
Questions the operations huddle brings.
Operational dashboards over admissions as they stand, read inside the hospital's environment.
Analytics · live views
A time-series projection with its confidence band, computed beside the ADT store.
Analytics · Insights Studio, time series
Ranked exceptions with reasons, so the review starts at the right unit.
Analytics · attention queue
Where the agent sits.
KEZEL · DEPLOYMENT · HEALTHCARE
- agent
- inside the hospital's environment
- components
- Orchestration + Analytics
- policy
- aggregation floors · role-scoped masks
- audit
- every read logged, in-boundary
Local execution, role-scoped masks and access logs are designed to support HIPAA and DPDP obligations. The hospital defines the deployment policies.
Show us the data you are not allowed to move.
Tell us which systems you use and what you need to do. We’ll walk through a demo, then plan a pilot with your security team.