The Command Center for Healthcare Data.

Solus aligns your disjointed IT environments into a single, high-performance data nexus, delivering absolute operational certainty.

How It Works
Solus Platform

Architected for
Absolute Scale.

A purpose-built central nervous system natively designed for complex health networks.

Unified Deep Architecture

A central data lake built on one cohesive structural architecture, instantly dissolving organizational data silos.

Infinite Interoperability

Fluent interoperability across every major EHR standard, executing bidirectional data flow with zero latency issues.

Mission-Critical Analytics

Real-time, enterprise-wide command dashboards fed directly from a scrubbed, validated, and irrefutable core database.

The Extinction of Fragmentation

Replace fragile complexities with unyielding intelligence.

The Old Matrix

  • Multiple EHR iterations fighting for priority.
  • Blind reporting with conflicting metrics.
  • Brittle API layers draining the engineering core.
  • Phantom data duplication corrupting clinical truth.

The Solus Core

  • One centralized deployment across all legacy systems.
  • Synchronized, board-ready metrics available instantly.
  • Native data ingestion requiring zero code.
  • An automated Master Patient Index ensuring data integrity.

Configured for the Entire Command Chain

Clinical Users

A lightning-fast, familiar interface unified across all clinical deployments.

Experience immediate continuity without the expense of retraining staff during mergers.

IT Administration

A centralized stronghold to manage security, permissions, and network stability.

One universally applied security framework. One disaster recovery sequence. Vendor management simplified to absolute zero.

Executive Board

A singular architecture investment eliminating runaway integration costs.

One accountable technology partner providing complete technological assurance and scalable dominance.

Simplicity on a Cloud

How to cut integration costs by 75%

Replace Manual Steps

  • Profile Source System
  • Source Analysis
  • Define Target Repository
  • Map Data From Source to Target System
  • Write ETL processes
  • Write Data Cleansing Rules
  • Write Data Standardization Rules
  • Build Data Harmonization Steps
  • Develop Data Interchange System
  • Create Business Analytics

With This

  • Automated Profile and Analysis
  • Prebuilt Healthcare Repository Templates
  • Automated AI-assisted Data Mapping
  • No-code Cleansing, Standardization, and Master Data Rules
  • One-Button No-code Extract, Transform, and Load
  • Built-in System Integration and Business Analytics