Clinical Data Integration

Managed Clinical Data Integration: EHR Exports Without the IT Bottleneck

The Algorithm's team works with your IT department or directly with your EHR vendor to establish regular data exports. No 18-month API integration projects. No ongoing integration maintenance fees. Your data, your control.

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4 wkstypical time from first call to first automated data refresh
The Architecture Decision

CSV Export Is a Feature, Not a Limitation

Every EHR vendor wants to sell you their analytics module. It requires their proprietary APIs, creates lock-in, and means that when you switch EHRs — and most organizations do eventually — your analytics infrastructure has to be rebuilt from scratch.

Vizier works with CSV exports because that architecture keeps you in control. Every major EHR can generate standardized data exports. Your IT team doesn't need to build or maintain API connections. When Epic releases a new version or Cerner gets rebranded again, your analytics pipeline keeps running because it isn't tied to any single integration point.

The alternative — direct API integration — takes 12–18 months to configure, requires ongoing maintenance as APIs change, and often costs more in IT time than the analytics tool itself. That's the EHR vendor's business model, not yours.

API Integration
12–18 months to implement
CSV Export
4 weeks to first refresh
API Integration
Vendor lock-in
CSV Export
Works with any EHR
API Integration
Ongoing maintenance costs
CSV Export
No integration maintenance
API Integration
IT bottleneck dependency
CSV Export
You own the data pipeline
EHR Compatibility

We've Mapped Exports From Every Major EHR

Each EHR has its own export format, column naming conventions, and quirks. We've done the mapping work before — so your onboarding doesn't involve reinventing the wheel for a common export format.

Epic
Chronicle database exports via Reporting Workbench, SlicerDicer, and scheduled report delivery. We configure column mapping for Epic's specific field names and handle the CSV format Epic generates for quality reporting extracts.
Cerner (Oracle Health)
PowerChart report exports and CCL-generated data files. Cerner's export formats have changed across platform versions — we've worked with the legacy Cerner format and the newer Oracle Health exports.
Athenahealth
Athena's reporting exports and Practice Management data files. Athena's standardized reporting format makes column mapping straightforward; we configure automated extraction from Athena's report scheduler.
eClinicalWorks
eCW generates quality reporting exports in standard CSV format. We configure the column mapping for eCW's specific measure tracking data, including the HEDIS-adjacent measures eCW tracks natively.
Greenway Health
Intergy and Prime Suite exports. Greenway's reporting module generates quality and billing data exports that map cleanly to Vizier's clinical data categories with minimal transformation.
NextGen
NextGen Office and Enterprise reporting exports. NextGen's population health module generates patient panel data that Vizier ingests for care gap identification and chronic disease management tracking.
Data Types

The Clinical and Billing Data That Drives Your Analytics

Your analytics program is only as good as the data going in. We configure exports for the clinical and billing data types that Vizier uses to calculate quality measures, track chronic disease panels, and identify revenue cycle problems — not a generic data dump that requires months of cleanup before it's useful.

We also configure data validation rules that catch problems before they affect your analytics. When a monthly export comes in with missing encounter dates or blank CPT codes, the system flags it rather than silently calculating wrong numbers.

Patient encounters with visit dates, provider NPI, and practice location
Diagnosis codes (ICD-10-CM) with primary and secondary code capture
Procedure codes (CPT) and evaluation and management level coding
Lab results with reference ranges and collection dates
Vital signs: blood pressure, BMI, A1C values, and screening results
Billing data and claims with payer identification and payment status
What You Get

A Managed Data Pipeline Your Team Doesn't Have to Think About

EHR export configuration documentation for your IT team or vendor
Automated column mapping from EHR field names to Vizier clinical categories
Data validation rules that catch missing or malformed data before ingestion
Monthly refresh schedule configured to match your reporting cadence
Anomaly alerting when data quality issues appear in incoming exports

The managed service means your team doesn't need a data engineer. The Algorithm configures the export schedule, maintains the column mapping as your EHR updates, and monitors for data quality issues. Your team's job is to upload the monthly export file — we handle everything else.

When your EHR gets updated or you change a report template, we update the mapping. When a new data field becomes available that would improve your quality measure tracking, we add it. The pipeline is maintained, not just configured once and forgotten.

How It Works

From EHR Audit to Automated Monthly Refresh

STEP 01
EHR Export Audit
We review your EHR's reporting capabilities, identify the specific export formats available, and assess which data fields are populated with sufficient completeness to support your analytics use cases. Incomplete or unreliable data fields are flagged before configuration begins.
STEP 02
Export Configuration
We work with your IT team or EHR vendor to configure the report schedule, field selection, and export format. We provide documentation your IT team can implement directly, or we coordinate with your EHR vendor's support team. No coding required on your end.
STEP 03
Mapping, Validation, and First Refresh
We build the column mapping from your EHR's field names to Vizier's clinical categories, configure validation rules, and run the first import to verify data completeness. You receive a data quality report before analytics are enabled.
Timeline & Outcomes

What to Expect and When

Four weeks from initial engagement to first successful automated data refresh. The limiting factor is usually your IT team's availability to configure the export schedule — we've compressed our side of the process so you're not waiting on us.

Week 1
EHR export audit — identify available data fields, export formats, and completeness gaps
Week 2
Export configuration — work with IT or EHR vendor to schedule and format exports
Week 3
Vizier mapping and validation — column mapping, validation rules, data quality review
Week 4
First successful automated refresh — analytics enabled, data quality report delivered
4 wks
typical setup time from first call
0
API integration dependencies
95%+
data completeness rate on first refresh
Monthly
refresh frequency — matches EHR export cadence
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Get Started

Get Your EHR Data Into Vizier in Four Weeks

Schedule a 30-minute consultation. Tell us your EHR and we'll describe exactly what the export configuration looks like and what your team needs to do — before any commitment.