Use case
TietAI unifies fragmented EHR data into a centralized, governed clinical data lake. Reconcile patient identities, standardize terminologies, and enable real-time, analytics-ready datasets that power AI safely and eliminate silos across hospitals, labs, and clinics.
In multi-site health systems it is challenging to run a patchwork of EHRs across hospitals, clinics, labs, and ancillary systems. Quick and untidy integrations generally give rise patient identities don't align across sites, clinical concepts are coded differently, and data arrives in many shapes—HL7 v2 messages, FHIR resources, PDFs, imaging, and free-text notes.
Mergers and local vendor customizations deepen these silos, making it hard to answer basic cross-site questions, generate population-level indicators, or power AI safely. Teams burn time reconciling records, quality reporting is inconsistent, and every new analytics use case spawns another brittle, point-to-point integration—with growing security and compliance risk.
TietAI helps construct a centralized, governed clinical data lake (lakehouse) that ingests from every site and EHR in near-real time, preserving raw sources while producing curated, analytics-ready datasets. The platform enables IT teams to implement an enterprise master patient index (EMPI) to reconcile identities; apply terminology services to normalize ICD-10, SNOMED CT, LOINC and units; and maintain lineage and audit trails for every element.
Connect to multiple EHR systems (Epic, Cerner, Allscripts) simultaneously with HL7 FHIR and v2.x protocols
Automatically reconcile patient identities and standardize clinical terminologies (ICD-10, SNOMED CT, LOINC).
Create a comprehensive patient record accessible across all care locations with full audit trails.
By consolidating fragmented EHR data into a governed, analytics-ready lake, TietAI delivers a single, trusted source of clinical truth. Healthcare organizations gain instant visibility into complete patient histories across sites, eliminating duplicate records and inconsistent coding. This unified foundation not only reduces operational waste and compliance risks, but also accelerates analytics, reporting, and AI initiatives—ensuring every decision is powered by accurate, validated data.
