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Healthcare
Analytics Solutions

Purpose-built solutions for the complex challenges of healthcare data. From ingestion to insights, we've got you covered.

Our Solutions

Four Pillars of Healthcare Intelligence

Each solution works standalone or together as a comprehensive platform.

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Data Ingestion

Parse Any Healthcare Format

Parse, profile, and normalize healthcare data from any source. Native parsers for X12-EDI, HL7v2, C-CDA, CMS files, and delimited extracts with built-in data profiling.

  • list 837P/I, 835, 834, 277CA, 999, 820
  • list C-CDA clinical documents
  • list Streamlit data profiler
  • list HL7v2 ADT, ORU, ORM
  • list MMR, MAO-004, MOR files
  • list Full lineage tracking

+15

Formats

99.9%

Parse Rate

3.1M

Records/Day

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Risk Adjustment Data Integrity

Complete Encounter Lineage

Track every encounter from clinical documentation through CMS submission to MOR reconciliation. Complete lineage, gap detection, and RADV readiness powered by OMOP.

  • list Submission pipeline tracking
  • list Provider attribution
  • list 277CA rejection analysis
  • list Gap detection & quantification
  • list RADV readiness via OMOP
  • list Revenue impact forecasting

$8.4M

At Risk

38%

Gap Recovery

100%

Traceability

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RAF Score Analytics

Prospective Risk Scoring

Prospective risk scoring, suspect condition identification, and gap closure analytics. Full support for CMS-HCC V24 and V28 models with revenue impact quantification.

  • list CMS-HCC V24 and V28
  • list Suspect condition modeling
  • list Provider gap closure
  • list Revenue forecasting
  • list Confidence scoring
  • list Pre-visit summaries

1.24

Avg RAF

+0.08

Lift Opportunity

$14.2M

Revenue at Risk

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Clinical Analytics

OMOP-Native Intelligence

OMOP-native clinical intelligence with standardized vocabularies, condition and drug eras, phenotype libraries, and cohort building tools for research and population health.

  • list 200+ validated phenotypes
  • list Condition & Drug Eras
  • list Visual cohort builder
  • list Population analytics
  • list RADV readiness via OMOP
  • list OMOP CDM v5.4

2.1M

Patients

200+

Phenotypes

47M

Condition Eras

How It Works

From Raw Data to Insights

A streamlined journey through the Affine Platform.

Connect

Connect your data sources—claims, EHR, labs, CMS files—to your Snowflake environment.

1

Ingest

Our parsers transform raw files into clean Bronze tables with complete lineage.

2

Standardize

Silver layer applies OMOP vocabularies, deduplication, and business rules.

3

Analyze

Gold layer delivers RAF scores, phenotypes, and analytics-ready datasets.

4
Why Affine

Built Different

What sets Affine apart from traditional healthcare data vendors.

Your Data, Your Snowflake

PHI never leaves your environment. We deploy to your Snowflake—you maintain full control.

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Bespoke Solutions

Every implementation is customized to your data, workflows, and requirements.

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Full Code Access

You own every dbt model and Python script. Extend and customize with your team.

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Integrations

Works With Your Stack

Built on Snowflake, integrates with your existing tools.

Snowflake

Snowflake

dbt

dbt

Tableau

Tableau

Power BI

Power BI

Streamlit

Streamlit

Python

Python

Ready to Transform Your Data?

See how Affine can streamline your healthcare analytics in weeks, not quarters.

Schedule a Demo
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