Visit data lifecycle

    From care decision to completed visit

    Caire turns each visit into a living data product: decision, care plan, schedule row, route, mobile execution, and follow-up stay connected in Caire Core.

    Caire care plan visit overview

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    Visit data lifecycle

    From care decision and master data to mobile execution.

    A visit improves when data does not break

    When visits change or get completed, signals feed a continuous learning loop. Planners can see what happened, why it happened, and what should be reviewed next time.

    1. Decision and Care plan

    Services, frequency, durations, constraints, and relationships become structured planning data.

    2. Master data and resources

    Clients, employees, skills, service areas, and shifts define which visits are possible.

    3. Optimized visits and routes

    Caire Core creates candidates that weigh continuity, travel, time windows, and workload.

    4. Mobile execution

    The caregiver sees the visit, documents, checks in, and reports deviations directly.

    5. Follow-up

    Outcomes and quality are compared with the plan so the next schedule can improve.

    Lifecycle diagrams

    The old platform flows, rebuilt as product diagrams

    These diagrams preserve the source platform logic: decisions become templates, templates become dated visits, optimization creates a planner-approved candidate, and mobile execution feeds the next planning cycle.

    Diagram 1

    Decision to completed visit

    The full path from approved care decision to mobile execution and continuous learning loop.

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    Diagram 2

    Three-layer visit architecture

    The old platform document's Layer 1, 2, and 3 model rewritten in Caire Core language.

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    Diagram 3

    Constraint hierarchy

    Use the simplest tool first: precompute when possible, use time windows broadly, and reserve hard dependencies for real requirements.

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    Diagram 4

    Template inheritance cascade

    Service-group defaults flow into the visit template and materialize into individual dated visits.

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    Diagram 5

    Lifecycle states

    The visit moves from draft to optimized plan, mobile execution, and learning for the next period.

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    Data flow from source system to execution

    The source system and Caire Core keep the visit lifecycle aligned from decision to mobile execution.

    LayerDecisionMaster dataExecution
    Source systemCare decision and approved servicesClient, address, service, and time rulesCompleted visit and deviation status
    Caire CorePlanning interpretationVisit graph, staff, skills, shifts, routesMobile execution, audit trail, and follow-up

    Why this matters operationally

    The visit lifecycle prevents planning data, mobile execution, and reporting from becoming separate realities. That is what makes AI scheduling explainable and audit-friendly.

    See AI scheduling