Introducing SCRE-DEX: The First Data Exchange Protocol Purpose-Built for Senior Living
Every industry that scaled built a shared data language first. Senior living never did — until now.
By SeniorCRE Strategy Team
What this article explains:
- •Topic: SCRE-DEX (Senior Care Real Estate Data Exchange) — the first open protocol for normalizing clinical, financial, and real estate data across senior living portfolios
- Who this is for: Senior living operators, technology vendors, investors, AI/ML developers, healthcare interoperability engineers, and platform architects
- Problems addressed: No shared data language exists for senior living; clinical EHRs, property systems, and capital platforms use incompatible schemas; cross-domain queries (clinical-to-financial) are impossible without manual reconciliation
- Systems involved: SCRE-DEX Protocol, C2 Canonical Data Layer, SeniorCRE Platform API, MCP Server, Webhook Layer, OpenAPI 3.1 Specification
- Why this matters now: In 2026, as AI agents and autonomous systems enter healthcare, the platforms with structured, discoverable, and interoperable data will capture disproportionate value — and the protocol that defines the data language will set the industry standard
Key Takeaways for Operators and Investors
- SCRE-DEX is the first open protocol for normalizing clinical, financial, and real estate data across senior living portfolios.
- It bridges the gap between clinical EHRs (PointClickCare®, MatrixCare®) and capital markets platforms — a domain no existing standard covers.
- Seven canonical data domains with standardized schemas, validation rules, and normalization patterns.
- Financial data normalized to integer cents with source-aware idempotent ingestion (ON CONFLICT DO UPDATE).
- Designed as a complement to existing systems — not a replacement — enabling any vendor to implement SCRE-DEX endpoints.
- First-mover advantage: by publishing the protocol specification first, SeniorCRE® sets the industry standard.
These insights are derived from publicly available industry research and cited sources.
The Interoperability Crisis Nobody Talks About
Healthcare has HL7 FHIR. Real estate has RESO. Capital markets have XBRL. But the senior living industry — which sits at the intersection of all three — has no shared data language.
This isn't an abstract problem. It's the reason a regional operator with 15 communities can't answer a simple question: "What's the relationship between my CMS star ratings and my cap rate compression across markets?"
The answer exists — scattered across PointClickCare® clinical records, Yardi® property financials, a broker's Argus model, and six Excel spreadsheets. But no protocol exists to normalize these data sources into a single queryable layer.
The Fragmentation Tax
5–12
Average systems per operator
Each with its own schema, API, and export format
2–3 weeks
Time to produce investor report
Manual aggregation from disconnected sources
15–25%
Data reconciliation errors
When manually merging clinical and financial data
Near zero
Benchmark availability
No cross-portfolio normalization exists
Every other industry that scaled solved this problem first. MLS standardized real estate listings. SWIFT standardized financial messaging. HL7 standardized clinical data exchange. Senior living skipped this step — and it's paying for it in fragmentation, opacity, and undervaluation.
What Is SCRE-DEX?
SCRE-DEX — Senior Care Real Estate Data Exchange — is the first open protocol standard designed specifically for normalizing and exchanging data across the three domains that define senior living performance:
Clinical Operations
Resident acuity, staffing ratios, care quality metrics, regulatory compliance
Ingests HL7 FHIR R4Real Estate Performance
NOI, occupancy, RevPAR, cap rates, rent rolls, capital expenditure
RESO-alignedCapital Markets
Portfolio analytics, LP reporting, deal pipeline, underwriting models
XBRL-compatibleSCRE-DEX is not a replacement for HL7, RESO, or XBRL. It's the missing bridge between them — purpose-built for the only industry that needs all three simultaneously.
Protocol Architecture: The Four Layers
SCRE-DEX operates as a four-layer stack. Each layer is independently implementable, allowing vendors to adopt incrementally.
C2 Canonical Data Layer
LiveSource-aware ingestion and normalization. Data from any clinical, financial, or property management system is mapped to SCRE-DEX canonical schemas. Financial values normalized to integer cents. All writes use idempotent ON CONFLICT DO UPDATE patterns.
Cross-Domain Query Layer
LiveUnified queries across clinical, financial, and real estate data. A single API call can return the relationship between fall rates, insurance costs, and cap rate impact for a given property.
Benchmark Aggregation Layer
ActiveAnonymous, opt-in aggregation of operational metrics across participating portfolios. Produces market-level benchmarks for staffing ratios, care costs, NOI margins, and occupancy trends.
Agent & Webhook Layer
ScaffoldedPush-based data distribution via webhooks and agentic tool registration (MCP). AI agents can subscribe to census changes, NOI updates, compliance alerts, and more.
The Seven Canonical Domains
Every data point in SCRE-DEX maps to one of seven canonical domains. Each domain has standardized schemas, validation rules, access levels, and normalization patterns.
| Domain | Key Entities | Standards | Access |
|---|---|---|---|
| Clinical Operations | Residents, medications, care plans, vitals, wounds | HL7 FHIR R4 | Authenticated |
| Workforce Management | Staff, schedules, shifts, labor costs, certs | Custom | Authenticated |
| Financial Metrics | NOI, rent rolls, operating statements, budgets | XBRL | Authenticated |
| Market Intelligence | Demographics, comps, supply pipeline | Custom | Public (aggregated) |
| Compliance | Surveys, deficiencies, corrective actions, licenses | State-specific | Authenticated |
| Real Estate | Properties, listings, transactions, valuations | RESO | Mixed |
| SCRE-DEX Benchmarks | Peer comparisons, performance metrics | Proprietary | Authenticated |
Normalization Rules & Data Integrity
Data quality is the protocol's core value proposition. SCRE-DEX enforces strict normalization at ingestion time:
Financial Normalization
All monetary values stored as integer cents. $1,250.50 → 125050. Eliminates floating-point drift across systems.
Idempotent Ingestion
Every write uses ON CONFLICT DO UPDATE. Re-importing the same data produces identical results — safe for automated syncs.
Source Provenance
Every record carries a source_system field (PointClickCare, MatrixCare, CSV, manual). Audit trail is built into the schema.
Temporal Consistency
All timestamps in UTC with timezone. Date ranges validated via triggers — not CHECK constraints — for schema portability.
PHI Isolation
Protected Health Information never crosses domain boundaries in API responses. Signed URLs with 60-minute expiry for document access.
Schema Versioning
Canonical schemas are versioned. Migrations are additive-only — no breaking changes to existing fields.
Complement, Don't Replace
SCRE-DEX is explicitly designed to sit on top of existing clinical and property management systems. Operators don't rip out PointClickCare® or Yardi® — they plug SCRE-DEX into the data those systems already produce.
The Integration Architecture
This is why SCRE-DEX is a protocol, not a product. Any vendor can implement SCRE-DEX endpoints. If MatrixCare wanted to publish SCRE-DEX-compatible data, they could. If a regional accounting firm wanted to build a SCRE-DEX adapter for their senior living clients, the specification is open.
Why Publishing First Matters
In technology standards, there's a well-documented pattern: the first credible specification becomes the default. Not because it's perfect, but because it's present.
SCRE-DEX is SeniorCRE's equivalent move. By publishing the protocol specification openly — with seven defined domains, normalization rules, access patterns, and a working reference implementation — we're not asking the industry to trust our marketing. We're giving them a working standard they can evaluate, extend, and adopt.
The Network Effect
Every operator that connects to SCRE-DEX makes the benchmark data more valuable for every other operator. Every investor that queries SCRE-DEX benchmarks creates demand for more operators to participate. This is the same flywheel that made Bloomberg Terminal indispensable to capital markets — and no one has built it for senior living yet.
Technical Specification Summary
| Property | Value |
|---|---|
| Protocol Name | SCRE-DEX (Senior Care Real Estate Data Exchange) |
| Version | 1.0.0 |
| Transport | HTTPS REST + MCP (Streamable HTTP) |
| Authentication | Bearer JWT (Supabase Auth) |
| Data Format | JSON with schema validation |
| Financial Precision | Integer cents (no floating-point) |
| Write Pattern | Idempotent ON CONFLICT DO UPDATE |
| PHI Handling | HIPAA-compliant, signed URLs, 60-min expiry |
| Canonical Domains | 7 (Clinical, Workforce, Financial, Market, Compliance, RE, Benchmarks) |
| Database Schemas | 300+ |
| Security Model | Row Level Security on all tables, 300 SECURITY DEFINER functions |
| Discovery | llms.txt, agents.json, OpenAPI 3.1 |
| Reference Implementation | SeniorCRE® Platform (seniorcre.com) |
Live API Endpoints
SCRE-DEX is not vaporware. The following public endpoints are live today:
/platform-api?endpoint=overviewPlatform metadata and documentation links
/platform-api?endpoint=capabilitiesModule descriptions, AI systems, platform metrics
/platform-api?endpoint=data-domainsAll seven canonical domains with schemas and access levels
/platform-api?endpoint=statsLive platform statistics and compliance status
/platform-api?endpoint=integrationsAvailable integration protocols (REST, MCP, SCRE-DEX, Webhooks)
/platform-api?endpoint=openapiOpenAPI 3.1 specification
Discovery files are also live: /llms.txt, /.well-known/agents.json, and a full OpenAPI specification. AI agents and crawlers can discover and understand the platform without any manual integration.
An Invitation to the Industry
SCRE-DEX is published as an open protocol. We're inviting:
Operators
Connect your existing systems and unlock cross-domain intelligence you can't get from any single vendor.
Investors & LPs
Query standardized operational benchmarks across portfolios. Stop relying on operator self-reporting.
Technology Vendors
Implement SCRE-DEX endpoints in your products. Become part of an interoperable ecosystem instead of another silo.
Developers & AI Builders
Build on 300+ structured schemas with REST API, MCP server, and webhook support. The data layer is ready.
PointClickCare® is a registered trademark of PointClickCare Technologies. MatrixCare® is a registered trademark of ResMed. Yardi® is a registered trademark of Yardi Systems, Inc. DocuSign® is a registered trademark of DocuSign, Inc. Salesforce® and Tableau® are registered trademarks of Salesforce, Inc. Power BI® and Microsoft® are registered trademarks of Microsoft Corporation. QuickBooks® is a registered trademark of Intuit Inc. ADP® is a registered trademark of ADP, Inc. Oracle® is a registered trademark of Oracle Corporation. All other product names, logos, and brands are property of their respective owners. SeniorCRE is an independent platform and is not affiliated with, endorsed by, or sponsored by any of the aforementioned companies. Comparisons are based on publicly available information and may not reflect all product capabilities.
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