Healthcare
Keep care workflows connected
to current operational state.
Maintain current patient, care, scheduling, and service context across fragmented healthcare systems—ready for downstream applications and workflows without repeatedly querying every source.
Care operations · CoordinationMaintained operational state
- PatientAdmitted
- SchedulingConfirmed
- LabResult ready
- PrescriptionActive
The Healthcare Data Gap
Care moves across systems.
Operational context gets fragmented.
Patient and care activity is distributed across clinical, scheduling, pharmacy, laboratory, admissions, and service systems. Each system may remain authoritative for its own domain, while downstream workflows need a usable view of what is happening now.
Fragmented operational state
The context needed for one workflow may be spread across multiple systems and data models.
Repeated source-system queries
Applications and services often have to reconstruct current context from operational systems again and again.
Stale downstream copies
Batch-oriented copies can fall behind as appointments, results, prescriptions, admissions, and care activity continue to change.
Context scattered across systems
From Fragmented Records to Usable State
Maintain the context care workflows need now.
CAPTURE
Capture operational change
Continuously capture relevant changes from healthcare and operational systems without replacing the systems of record.
TRANSFORM
Transform into usable state
Combine and shape changing records into maintained operational context for specific downstream needs.
SERVE
Serve it where work happens
Deliver current state to applications, APIs, workflows, services, and automation without rebuilding it for every request.
Healthcare Use Cases
Put current operational context to work across care operations.



Use case 01
Coordinate care across systems
Maintain the current context a care workflow needs across prescriptions, laboratory activity, scheduling, admissions, and other operational systems.
Healthcare Operational State Pattern
Keep systems of record authoritative.
Maintain reusable state downstream.
Tapstate sits between changing healthcare systems and the applications and workflows that need current operational context.
Systems of record
- Clinical systems
- Scheduling
- Lab
- Pharmacy
- Admissions
- Service systems
Tapstate
Unified operational data engine
Downstream use
- Care workflows
- Patient services
- Operational apps
- APIs
- Automation
Systems of record stay authoritative. Tapstate does not replace or become the system of record—it captures operational change, transforms it into usable state, and serves maintained context to care workflows, patient services, operational apps, APIs, and automation.
Healthcare Operating Environments
A data layer that works across existing healthcare systems.
Healthcare environments rarely begin with one system, one schema, or one workflow. Tapstate is designed to maintain operational state across heterogeneous systems while leaving source ownership intact.
Preserve system authority
Keep source applications responsible for their own records while maintaining downstream operational state separately.
Work across heterogeneous systems
Bring together changing operational data from different technologies, structures, and application domains.
Reduce repeated source access
Let downstream consumers use maintained state instead of reconstructing the same cross-system context on demand.
Reuse state across consumers
Serve the same maintained context to applications, APIs, workflows, services, and automation where appropriate.
Illustrative Pattern
One care workflow. Context from multiple systems.
Sources
- Pharmacy
- Lab
- Scheduling
- Admissions
Maintained patient
& care state
Consumer
Care coordination workflow
Instead of assembling current context independently for every request, a workflow can use maintained operational state drawn from the systems relevant to that task.
Build on Current Operational State
Give healthcare workflows the context they need to keep moving.
Maintain reusable operational state across fragmented systems and serve it where downstream work happens.