How Our Solutioning DNA Helped Modernize A KLAS-Recognized Population Health Platform

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Case Study

How Our Solutioning DNA Helped Modernize A KLAS-Recognized Population Health Platform

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Case Study

How Our Solutioning DNA Helped Modernize A KLAS-Recognized Population Health Platform

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access the full case study

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We'd love to brainstorm your priority tech initiatives and contribute to the best outcomes.

From Fragmented Infrastructure to FHIR-Native Efficiency: A Case Study in Healthcare Platform Modernization

One-liner summary:

Ideas2IT rebuilt a legacy population health platform into a cloud-native, FHIR-compliant architecture cutting costs by 50% and onboarding time from 4 months to 2 weeks.

The Problem with the Status Quo

A KLAS-recognized PHM provider was stuck with legacy infrastructure, fragmented data, and slow onboarding cycles. Ideas2IT modernized their entire data and analytics pipeline using Kubernetes, Delta Lake, and FHIR enabling plug-and-play onboarding, real-time QA, and 50% cost savings. The result? A future-ready PHM platform designed for scale, speed, and interoperability.

Where the Gaps Were

The Problem

Despite strong market recognition, the client’s platform suffered from:

Siloed data formats (CCD, HL7, EDI 837/835)
Manual onboarding and reconciliation
High infra costs and sluggish performance
Poor interoperability and limited analytics agility

New client rollouts took up to 4 months. Query times were slow. Scaling meant rewriting. Interfacing with external EHRs or payers was a custom dev effort every time.

They needed a platform rethink.

What We Delivered

Ideas2IT re-architected the entire PHM system around automation, modularity, and FHIR compliance. We built a cloud-native ingestion and analytics engine with:

Secure file ingestion via S3 with AES encryption
FHIR-native converters to normalize CCD, HL7, EDI formats
Delta Lake with Medallion architecture for scalable analytics
Kubernetes for portable, cloud-agnostic deployment
Great Expectations for inline data quality checks
Trino + Power BI for real-time reporting and visualization

We also built custom tooling to accelerate delivery:

A Python-based FHIR transformer
A lightweight, in-house FHIR client
Integration with Omniparser for flexible input handling

Every service (except S3 ingestion) was containerized and orchestrated via Kubernetes, giving the client total control over deployment environments and minimizing vendor lock-in.

Outcomes We Achieved

50% Lower Operational Cost Per Client
Elastic infrastructure and containerized services drastically cut ongoing cloud spend.

Onboarding Time Cut from 4 Months to 2 Weeks
Standardized ingestion and reusable modules eliminated bespoke client setups.

Real-Time Data Validation Built In
Great Expectations flagged anomalies at the pipeline level no manual QA needed downstream.

Seamless Interoperability with EHRs and Payers
FHIR-native design enabled clean integration, no custom APIs or transformation layers required.

Key Lessons

FHIR = velocity. Standardization unlocked scale.
Design for reusability, not rework. Modular pipelines made onboarding plug-and-play.
Data quality is a pipeline concern. Inline validation replaced brittle post-load checks.
‍Kubernetes future-proofs your infra. Cloud-agnostic, scalable, and production-resilient.

Key Takeaways

You can’t build a modern PHM business on legacy scaffolding. By rethinking the entire architecture around FHIR, automation, and cloud-native tooling, we turned onboarding into a repeatable process and analytics into a real-time asset.

Co-create with Ideas2IT

We show up early, listen hard, and figure out how to move the needle. If that’s the kind of partner you’re looking for, we should talk.

We’ll align on what you're solving for - AI, software, cloud, or legacy systems

You'll get perspective from someone who’s shipped it before

If there’s a fit, we move fast — workshop, pilot, or a real build plan

Trusted partner of the world’s most forward-thinking teams.

Tell us a bit about your business, and we’ll get back to you within the hour.

How Our Solutioning DNA Helped Modernize A KLAS-Recognized Population Health Platform

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How Our Solutioning DNA Helped Modernize A KLAS-Recognized Population Health Platform

How Our Solutioning DNA Helped Modernize A KLAS-Recognized Population Health Platform

How Our Solutioning DNA Helped Modernize A KLAS-Recognized Population Health Platform

How Our Solutioning DNA Helped Modernize A KLAS-Recognized Population Health Platform

Connect with Us

The Problem with the Status Quo

Where the Gaps Were

The Problem

What We Delivered

Outcomes We Achieved

Key Lessons

Key Takeaways

Co-create with Ideas2IT