SERVICES
External healthcare data. Continuously managed.
Health Data Innovations (HDI) monitors, transforms, resolves, and delivers external healthcare data every cycle – keeping it trusted as payers, formats, business rules, and downstream systems change.
Purpose-built technology, proven processes, and hands-on healthcare data experts work together to reduce the operational burden on your team while keeping your data reliable.
Your team should be using data.
Not cleaning it.
Specialized healthcare data expertise is hard to hire and harder to keep. HDI manages external healthcare data every cycle, expanding your capacity without expanding your headcount.
We handle the ongoing work required to keep external healthcare data complete, reliable, and ready for use. Your team can focus on the higher-value work only they can do:
- Analytics and business intelligence
- Artificial intelligence initiatives
- Value-based care
Population health - Provider engagement
- Financial performance
- Risk adjustment
What our clients say
"I don’t stay up at night or lose sleep worrying about claims aggregation. They take the worry out of it."
Director of Analytics, Large Health System"They're like our watchdog on the side. HDI is the partner we rely on for simplifying our health plan data."
Manager, Data Services and Engineering, Large Health System"We felt we were in good hands. Honestly, it was a breath of fresh air."
Associate CIO, Regional Health System"I knew everything was going to be taken care of."
VP, Value-Based Care, Regional Health SystemHow HDI creates worry-free data
The proven External Data Management capability behind trusted healthcare claims data.
Before the first file arrives, we document your data sources, destination environments, and delivery schedules. No surprises from day one.
00 – Calibrate
Your needs, understood from the start.
We define requirements, identify data sources and vendors, confirm destination environments, and align delivery schedules with your goals. This helps prevent scope gaps, missing data, and misaligned expectations before the first file arrives.
01 – Acquire
Every file tracked.
Every gap surfaced.
We track all expected files against expected sources, file types, formats, populations, and schedules. We accept files in their native formats – any format in. We identify missing, duplicate, and overdue files before they create downstream data issues.
02 – Transform
Problems caught here.
300+ data quality checks.
We map incoming data to the HDI Core Data Model and apply 300+ data quality checks and operational business rules. We identify source-specific variations, anomalies, sequencing issues, and risks to historical context before the data reaches analytics, AI, or reporting.
03 – Resolve
Cleaner data. Greater trust.
Our healthcare data experts investigate issues and document root causes. When the data requires correction, we provide detailed findings and examples for your team to share with the source. We then process, reconcile, and validate the corrected data.
04 – Deliver
Trusted healthcare data.
Every destination.
We deliver cleaned, standardized, validated data in the format each downstream environment requires. We provide every destination with a single source of truth and include a detailed Data Quality Report covering population, dollars, field-level completeness, and validation results.
00 – Calibrate
Your needs, understood from the start.
We define requirements, identify data sources and vendors, confirm destination environments, and align delivery schedules with your goals. This helps prevent scope gaps, missing data, and misaligned expectations before the first file arrives.
01 – Acquire
Every file tracked.
Every gap surfaced.
We track all expected files against expected sources, file types, formats, populations, and schedules. We accept files in their native formats – any format in. We identify missing, duplicate, and overdue files before they create downstream data issues.
02 – Transform
Problems caught here.
300+ data quality checks.
We map incoming data to the HDI Core Data Model and apply 300+ data quality checks and operational business rules. We identify source-specific variations, anomalies, sequencing issues, and risks to historical context before the data reaches analytics, AI, or reporting.
03 – Resolve
Cleaner data. Greater trust.
Our healthcare data experts investigate issues and document root causes. When the data requires correction, we provide detailed findings and examples for your team to share with the source. We then process, reconcile, and validate the corrected data.
04 – Deliver
Trusted healthcare data.
Every destination.
We deliver cleaned, standardized, validated data in the format each downstream environment requires. We provide every destination with a single source of truth and include a detailed Data Quality Report covering population, dollars, field-level completeness, and validation results.
Healthcare claims data and system integration (and beyond).
We manage a broad range of healthcare data creating a trusted foundation for analytics, AI, value-based care, and downstream systems, including:
Systems we work with:
Data sources:
The HDI Advantage
External Data Management requires more than a generic data platform. It requires purpose-built technology, proven processes, and hands-on healthcare data experts working together to manage external healthcare data.
HDI continuously acquires, transforms, resolves, and delivers trusted external healthcare data across the enterprise. We reduce the operational burden of managing complex healthcare data while improving the reliability that every downstream system depends on.
The result isn’t just cleaner data – it’s returned capacity: your team’s time and expertise redirected from maintaining data to using it.
A proven implementation approach – typically in 3 weeks or less
Implementation shouldn’t take months. HDI gets most organizations live in approximately 3 weeks – compared to the five-month average health systems report.
Implementation activities
Project kickoff and planning
Define scope, roles, timelines, and implementation objectives.
Secure connectivity and configuration
Establish secure data exchange and configure data sources and destinations.
Data mapping and validation
Map incoming data, validate quality, and review detailed validation reports.
Collaborative testing and issue resolution
Produce test files, review Data Quality Reports, and resolve issues before production.
Production readiness and go-live
Complete final validation, user acceptance, and begin ongoing healthcare data operations.
