Seamless Integration Group provides SOLUS, a no‑code platform that automatically discovers, ingests, cleanses, and transforms healthcare data from EHR, HL7, and FHIR systems into a unified, trusted data repository. By continuously identifying and correcting inconsistencies, SOLUS delivers a single source of truth for reporting, analytics, and compliance, reducing integration costs and improving operational efficiency for hospitals and health systems.
Funding
Funding not disclosed
Founders
Product
Problem
Healthcare organizations rely on multiple electronic systems—EHRs, lab, billing, and patient applications—that store data in disparate formats, leading to fragmented, low‑quality information that hampers reporting, compliance, and patient care.
Solution
Seamless Integration Group offers SOLUS, an automated, no‑code platform that connects to EHR, HL7, and FHIR sources, extracts data, and applies cleansing and transformation rules to produce a single, trusted data repository. The system continuously identifies inconsistencies, corrects errors, and standardizes records to a common schema, enabling reliable analytics and operational workflows. By centralizing data without requiring custom code, SOLUS reduces integration costs and accelerates the delivery of accurate reports and insights for clinical and administrative teams.
Target Audience
Primary customers are hospitals, health systems, and large clinical networks that need to consolidate clinical, laboratory, and billing data for operational reporting and patient safety.
Features
- Automated discovery and ingestion of data from EHR, HL7, and FHIR interfaces
- Built‑in data validation, de‑duplication, and normalization engine that corrects errors in real time
- No‑code configuration UI for mapping and transformation rules, eliminating developer dependence
- Unified data lake that provides a single source of truth for reporting, analytics, and compliance
- Continuous monitoring dashboard that flags data quality issues and tracks remediation status
- Scalable cloud architecture supporting high‑volume healthcare data streams