For Hospital Chains

Scale to 50 Hospitals Without 50 Engineering Teams

Every chain we talk to has the same problem: adding a new hospital takes 3-6 months of integration work. We do it in 48 hours. Benchmark across locations, replicate best practices in one click. Zero custom code per hospital.

Book a Chain DemoSee Onboarding Demo
<0h
New Hospital Onboarding -- schema auto-detection
0+
Benchmarking KPIs -- computed identically across locations
Zero
Custom Code Per Hospital
0%
Tenant Isolation -- schema-per-tenant architecture

Chain-Scale Capabilities

Standardize, benchmark, grow. Without building a custom tech stack per hospital.

BM

Multi-Hospital Benchmarking

20+ standardized KPIs computed identically across all locations. Follow-up compliance, care gap density, patient satisfaction, revenue per bed. Apples-to-apples, even if Hospital A runs a different HIS than Hospital C.

PR

One-Click Practice Replication

Hospital A outperforms Hospital C? Export the workflow config and apply it. YAML-based workflows are portable and auto-adapt to local context. Best practices spread, not best intentions.

OB

48-Hour Hospital Onboarding

Add a new hospital in under 48 hours. Schema auto-detection, config generation, pipeline execution. No engineering team needed. This is how you grow a chain without growing your tech org proportionally.

TI

Tenant Isolation

Schema-per-tenant architecture. Hospital A's data is never accessible to Hospital B. Benchmarking uses aggregated KPIs only. Full audit trail on every cross-tenant operation.

CA

Centralized Analytics

Ask 'which hospital has the highest diabetic care gap rate?' and get an instant answer across all locations. Chain-level insights, tenant-level data boundaries.

CS

Config-Driven Standardization

Care gap definitions, follow-up protocols, communication templates, workflow rules -- all config, all version-controlled, all deployable without code changes. Change it once, roll it everywhere.

Multi-Tenant Architecture

Every hospital in the chain runs on isolated infrastructure with shared configuration management.

Chain Management Layer
Benchmarking Engine
20+ KPIs
Config Management
Version-controlled
Practice Replication
One-click deploy
Per-Hospital Isolation
Hospital A
Schema: tenant_a
Hospital B
Schema: tenant_b
Hospital C
Schema: tenant_c
Hospital N
Schema: tenant_n
Shared Platform
DataCloud
Processing
NovaHub
API Gateway
PEP + CRM
Engagement & Ops

The Scaling Story

Start with one hospital. Prove the ROI. Then replicate. Here is how it works.

01

First Hospital

Week 1-2

Deploy on your flagship hospital. Full Patient 360, AI follow-ups, care gap detection. Prove the ROI before you scale.

Patient 360ROI Proof
02

Standardize Protocols

Week 3-4

Define care gap definitions, follow-up rules, and communication templates as version-controlled configurations.

Version-ControlledConfig
03

Replicate to Chain

Week 5-8

Onboard additional hospitals in under 48 hours each. Schema auto-detection handles different HIS systems. Same protocols, adapted configs.

<48h EachAuto-Detect
04

Benchmark & Optimize

Ongoing

Dashboards identify top performers. One-click replication spreads what works. Continuous improvement -- not just monitoring.

BenchmarksReplication

Chain Economics

Without THB

  • ×3-6 months integration per hospital
  • ×Custom ETL pipelines for each HIS system
  • ×No cross-hospital benchmarking capability
  • ×Siloed patient data per location
  • ×Engineering bottleneck limits growth

With THB

  • ✓<48 hours onboarding per hospital
  • ✓Config-driven pipelines for 150+ HIS formats
  • ✓20+ KPIs benchmarked across all locations
  • ✓Unified golden records with tenant isolation
  • ✓Zero engineering per new hospital

See Multi-Hospital THB in Action

Demo D7: multi-hospital benchmarking with 5 simulated hospitals. Demo D5: 48-hour onboarding. Both live, not slides.

Book a DemoSee Benchmark Demo