Analytics & intelligence
Most senior housing & care analytics tools are dashboards layered on a nightly extract from an EHR or accounting system. The numbers in the deck never quite match the numbers in the operating infrastructure. SeniorCRE analytics run on the same operator-controlled operating record that the operators use — so the portfolio KPI, the regional review, and the source chart agree.
Falls, infections, hospital transfers, MDS/PDPM mix, quality measures — tied to the operator-declared clinical source for the decision.
Agency %, turnover, overtime, license expiry, fill rate — reconciled against the schedule and payroll record.
NOI, RevPOR, AR aging, payer mix, level-of-care capture — tied to billing and GL, not a manual extract.
Move-ins, move-outs, occupancy by care level, inquiry-to-deposit funnel — same record as the CRM.
Configurable risk thresholds per KPI, routed to the role that can act on them, with the source record attached.
Investor & REIT reporting, ESG metrics, and underwriting packs — designed to preserve the governed value, alternate valid values, and source lineage.
When the analytics tool is downstream of the operating tools, the joins happen in BI. That is where definitions split — "occupancy" means three different things depending on which extract ran first. SeniorCRE collapses the stack so the operator and the analyst are reading the same governed record.
Analytics on senior housing & care should not be a quarterly slide deck. It should be the system that detects when an operation is drifting and routes the work. SeniorCRE runs that detection layer on a canonical clinical, workforce, and financial record — and shows the source, not just the chart.
The same operator-controlled operating record powers the institutional investor portal. Owners and REITs see operational truth without operators having to hand-build a quarterly export.
Walk an operations and finance lead through the governed-record validation plan.