Flume | Healthcare Data Understood
Healthcare data, simplified.
Explore, Integrate, and Build on Your Data Estate
What you can do with Flume
Map your data estate. Build a living knowledge graph. Make every answer trustworthy. Auto integrate. On portable infrastructure you own.
Ask across the business.
One prompt. Every data source. Real answers. Flume handles query planning, schema resolution, and logic validation behind the scenes.
Estate Assessment
Review
Comprehensive data estate investigation — profiles tables, maps pipelines, classifies findings by...
Agents Overview
- Healthcare Actuary
- Analysis: PMPM/PEPM calculations, trend analysis, risk adjustment, IBNR estimation, and MLR analysis.
- Tags: PMPM, Trend, IBNR.
- Quick Actuary
- Analysis: Rapid health plan metrics. PMPM, utilization rates, and cost trends in seconds.
- Claims Analyst
- Analysis: High cost claimant identification, utilization pattern analysis, and anomaly detection.
- Steerage Report
- Reporting: Build employer group steerage reports with network tier analysis and plan comparisons.
- Data Engineer
- Engineering: Data profiling, quality validation, schema analysis, and join testing.
- Data Analyzer
- Engineering: Analyze CSV or Excel files. Summary statistics, distributions, and key insights.
- Pattern Detector
- Engineering: Run pattern detection on a schema to identify applicable data patterns (claims, eligibility, etc.).
- Adversarial Review
- Review: Challenge assumptions, validate SQL queries, and find logic errors.
- Full Analysis
- Review: End-to-end analysis workflow with prerequisites, pattern detection, and adversarial review.
- Cohort Explorer
- Reporting: Find and extract patient/member cohorts by diagnosis, procedure, or demographics.
- Clinical Coding
- Analysis: ICD-10 validation, DRG analysis, coding accuracy audits, and clinical documentation review.
- Compliance Monitor
- Reporting: MLR calculations, regulatory filing checks, and audit trail generation.
- Network Analyzer
- Analysis: Provider network adequacy, geo access analysis, and referral pattern detection.
- Feed Validator
- Engineering: Source system reconciliation, feed validation, and data pipeline integrity checks.
Value Lab · Governed
Use Cases Overview
- Overall Data Readiness: 68%
- Customer: 60%
- Claims: 60%
- Provider: 88%
- Admin: 33%
- Employee: 100%
Use Cases
| Name | Value Pool | Value Driver | Priority |
|---|---|---|---|
| Premium Tax Accelerator | Streamlined Reimbursement | Cycle Time | TBD |
| Early-Pay Discount Mgr | Streamlined Reimbursement | Discounts | TBD |
| Variance Analysis | Streamlined Reimbursement | Overpayment Reduction | TBD |
FAQ
- Do I need to know SQL to use Flume?
- How is Flume different from ChatGPT, Claude, or other general AI tools?
- How does Flume prevent hallucinations and ensure accuracy?
- Is Flume secure for healthcare data?
- How is Flume different from Snowflake / Databricks?
- How is Flume different from dbt?
- How does Flume create organizational knowledge?