Clinical & EHR Data Integration
Getting clinical data out of an EHR is not the hard part. Making it agree with itself across six sites, three EHR versions, and a decade of local code sets is the hard part.
DAX extracts, normalizes, and models clinical data into the longitudinal record that risk, quality, and care management all depend on — inside infrastructure your organization owns.
What we integrate
EHR extraction
- Epic
- athenahealth
- eClinicalWorks
- Oracle Health / Cerner
- MEDITECH
- NextGen, where the contract and interfaces support it
Standards & transport
- HL7 v2 interface feeds
- FHIR R4 resource APIs
- C-CDA document parsing
- Vendor APIs and bulk export
- SFTP and flat-file extracts
Clinical domains
- Encounters
- Diagnoses and problem lists
- Medications and prescribing
- Labs and results
- Vitals and observations
- Immunizations and screenings
Terminology normalization
- ICD-10-CM and SNOMED CT mapping
- LOINC alignment for labs
- RxNorm for medications
- CPT and HCPCS for procedures
- Local code crosswalks per source system
Identity & structure
- Patient matching into the enterprise master patient index
- Provider and location reference data
- Encounter-level deduplication
- Time-aware history rather than current-state snapshots
Quality controls
- Completeness checks by source and domain
- Volume monitoring and trend detection
- Field-level validity rules
- Persistent exception tables for investigation
From EHR extract to clinical work
- EHR extract
- Terminology normalization
- Patient identity resolution
- Longitudinal record
- Risk, quality & care management
Longitudinal patient records
Clinical history stitched across every EHR and site of care under one patient identity, rather than one record per system.
Risk and HCC capture
Documented conditions from problem lists, encounters, and notes lined up against claims-based risk so coding teams can see what is supported and what is not.
Quality measurement
Numerator and denominator logic built on normalized labs, diagnoses, and procedures instead of on registry exports you cannot audit.
Care management
Clinical context alongside claims and ADT events, so care teams see the whole patient before they pick up the phone.
Operational workflows
Scheduling, panel, and provider data joined to clinical activity for the operational reporting practices actually run on.
Analyst self-service
Documented, modeled clinical tables your own analysts can query directly — without opening a ticket with a vendor.
All of it lands in a foundation your organization owns. The applications that read it — DAX's, your existing tools, or something your team builds — stay interchangeable.
Which EHRs are you running?
Tell us the systems, the versions, and where the data currently disagrees. That is usually enough to scope the clinical integration work.