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The Missing Piece For Healthcare Analytics: Enterprise-Ready Public Data Infrastructure

Supercharge your data team with AI-powered healthcare data. All public healthcare data, instantly available in your data platform through delta sharing. Build with a community that's reshaping healthcare analytics.

Working with pioneers who share our vision for open healthcare data

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Opportunities - Unlock Your Data Team's Full Potential

Your data team has powerful internal datasets, but delivering transformative insights requires complementary public data that can take months to discover and integrate. This is where mimilabs comes in.

We've done the heavy lifting by curating and continuously updating over 150 healthcare datasets. By combining your internal data with our instantly-accessible public datasets, your team can accelerate these high-impact projects from months to days.

Here are 12 opportunities where your data team + mimilabs datasets = immediate impact:

Risk Revenue Optimization

Empower your team to maximize revenue capture through comprehensive risk adjustment and documentation analytics.

5-8% revenue lift

View Capabilities ↓
  • - Real-time HCC mapping with latest CMS updates
  • - Documentation completeness and gap analysis
  • - Automated coding accuracy validation
  • - Provider-specific documentation pattern monitoring
  • - RAF coefficient calculation with current model year logic
  • - Member-level and aggregate RAF trending
  • - Denial trend analysis and prevention
  • - Historical submission accuracy tracking
  • - Provider education opportunity identification
  • - Clinical documentation improvement tracking
  • - Coding compliance monitoring
  • - ROI analysis by initiative
View Required Datasets ↓

Your Data Needed:

  • • Clinical documentation
  • • Claims history
  • • Member demographics
  • • Provider assignments
  • • Coding patterns
  • • Denial data
  • • Provider profiles

Our Complementary Data:

  • • CMSCODING.icd10cm: Latest diagnosis mappings
  • • CMSPAYMENT.ratebook: Current RAF coefficients
  • • DATACMSGOV.geovariation: Regional patterns
  • • PARTCD.hedis_measures: Risk-adjusted benchmarks
  • • CMSCODING.hcpcs: Procedure codes
  • • PALMETTOGBA.dmecs: Coding guidelines
  • • DATACMSGOV.psps: Procedure patterns
Time to Value: 3-4 months

Network Leakage Prevention

Enable your network team to prevent leakage through data-driven insights.

3-5% cost reduction

View Capabilities ↓
  • - Member drive-time analysis to nearest providers
  • - Specialty-specific network adequacy scoring
  • - High-volume out-of-network provider identification
  • - Referral pattern analysis
  • - ZIP-level provider supply/demand modeling
  • - In vs out-of-network cost differential analysis
  • - Network expansion priority mapping
View Required Datasets ↓

Your Data Needed:

  • • Member locations
  • • Provider network data
  • • Claims patterns
  • • Referral data

Our Complementary Data:

  • • HRSA.hpsa_fct_det: Shortage areas
  • • NPPES.npi_to_address: Provider locations
  • • HUDUSER.zip_to_county: Geographic mapping
  • • CDC.places_zcta: Population health needs
Time to Value: 2-3 months

Quality Bonus Maximization

Your quality team can optimize performance with predictive analytics.

2-3% bonus increase

View Capabilities ↓
  • - Star rating cut point predictions by measure
  • - Measure-specific trending against benchmarks
  • - Enrollment-weighted measure prioritization
  • - Real-time performance tracking vs thresholds
  • - Intervention effectiveness analysis
  • - Member-level gap closure tracking
  • - Peer comparison analytics by measure
  • - ROI analysis by quality initiative
View Required Datasets ↓

Your Data Needed:

  • • Quality measure performance
  • • Intervention tracking
  • • Member compliance data
  • • Provider quality scores

Our Complementary Data:

  • • PARTCD.starrating_measure_star: Historical ratings
  • • PARTCD.hedis_measures: Performance benchmarks
  • • PARTCD.hedis_general: Peer comparisons
  • • PROVDATACATALOG.dac_ec_score_file: Provider scores
Time to Value: 3-4 months

High-Cost Member Management

Your care management team can identify and support vulnerable members.

5-7% MLR improvement

View Capabilities ↓
  • - Predictive modeling for high-cost events
  • - SDoH risk scoring at member level
  • - Historical cost pattern analysis
  • - Care management opportunity scoring
  • - Intervention effectiveness tracking
  • - Community resource matching
  • - Risk-stratified engagement strategies
  • - Early warning system for cost escalation
View Required Datasets ↓

Your Data Needed:

  • • Claims history
  • • Clinical risk factors
  • • Care management data
  • • Intervention outcomes

Our Complementary Data:

  • • NEIGHBORHOODATLAS.adi_censustract: Deprivation index
  • • CDC.svi_censustract: Vulnerability data
  • • AHRQ.sdohdb_zipcode: Social determinants
  • • GRAHAMCENTER.sdi_zcta: Social deprivation metrics
Time to Value: 2-3 months

Pharmacy Cost Containment

Your pharmacy team can optimize costs through comprehensive analytics.

3-4% Rx savings

View Capabilities ↓
  • - Drug price trend analysis vs market
  • - Therapeutic alternative comparison
  • - Utilization pattern analysis
  • - Prior authorization effectiveness scoring
  • - Step therapy compliance tracking
  • - Rebate opportunity analysis
  • - Generic dispensing rate optimization
  • - Specialty drug management strategies
View Required Datasets ↓

Your Data Needed:

  • • Pharmacy claims
  • • Prior authorization data
  • • Formulary design
  • • Member compliance data

Our Complementary Data:

  • • FDA.ndc_directory: Drug information
  • • DATAMEDICAIDGOV.nadac: Pricing benchmarks
  • • PRESCRIPTIONDRUGPLAN.pricing: Market rates
  • • NLM.rxnconso: Drug classifications
Time to Value: 2-3 months

Provider Performance Optimization

Your provider team can optimize network performance through analytics.

4-5% cost reduction

View Capabilities ↓
  • - Risk-adjusted cost efficiency analysis
  • - Practice pattern variation detection
  • - Quality performance benchmarking
  • - Network optimization modeling
  • - Value-based contract monitoring
  • - Provider panel risk assessment
  • - Targeted engagement strategies
  • - Performance improvement tracking
View Required Datasets ↓

Your Data Needed:

  • • Provider claims patterns
  • • Quality scores
  • • Contract terms
  • • Panel information

Our Complementary Data:

  • • DATACMSGOV.mupphy: Physician patterns
  • • PROVDATACATALOG.dac_ndf: Performance data
  • • OPENPAYMENTS.general: Provider insights
  • • DATACMSGOV.quality: Quality benchmarks
Time to Value: 3-4 months

Compliance Risk Management

Your compliance team can automate monitoring and risk management.

Risk mitigation

View Capabilities ↓
  • - Network adequacy monitoring
  • - Provider exclusion screening
  • - Time/distance standard tracking
  • - Directory accuracy verification
  • - CMS compliance reporting
  • - Quality measure monitoring
  • - FWA pattern detection
  • - Regulatory requirement tracking
View Required Datasets ↓

Your Data Needed:

  • • Provider network data
  • • Compliance records
  • • Audit findings
  • • Quality metrics

Our Complementary Data:

  • • HHSOIG.leie: Exclusion lists
  • • HRSA.hpsa_fct_det: Shortage areas
  • • PARTCD.starrating_measure_star: Quality standards
  • • DATACMSGOV.quality: Compliance metrics
Time to Value: 2-3 months

Market Share Expansion

Your strategy team can identify and capture growth opportunities.

3-5% growth potential

View Capabilities ↓
  • - Market opportunity analysis
  • - Competitor performance tracking
  • - Network gap identification
  • - Member attribution modeling
  • - Benefit design optimization
  • - Growth scenario planning
  • - Target market prioritization
  • - ROI forecasting
View Required Datasets ↓

Your Data Needed:

  • • Membership data
  • • Product performance
  • • Sales metrics
  • • Cost structure

Our Complementary Data:

  • • PARTCD.cpsc_enrollment: Market share data
  • • CMSMARKETPLACE.enrollment: Market trends
  • • CENSUS.pop_est_zcta: Population data
  • • ZILLOW.homevalue_zip: Economic indicators
Time to Value: 3-4 months

Value-Based Contract Optimization

Your contracting team can optimize agreement terms and performance.

4-6% margin improvement

View Capabilities ↓
  • - Contract performance modeling
  • - Term benchmarking
  • - Quality target assessment
  • - Financial impact analysis
  • - Risk adjustment modeling
  • - Performance monitoring
  • - Negotiation strategy development
  • - Opportunity prioritization
View Required Datasets ↓

Your Data Needed:

  • • Contract terms
  • • Performance metrics
  • • Cost data
  • • Quality scores

Our Complementary Data:

  • • CMSINNOVATION.ckcc_performance: Model results
  • • MSSP_results: ACO performance
  • • DATACMSGOV.quality: Quality benchmarks
  • • PARTCD.hedis_measures: Quality standards
Time to Value: 3-4 months

Clinical Decision Support

Your clinical team can enhance decision-making with integrated analytics.

3-4% quality improvement

View Capabilities ↓
  • - Evidence-based pathway development
  • - Treatment pattern analysis
  • - Clinical variation assessment
  • - Drug interaction monitoring
  • - Guideline adherence tracking
  • - Outcome prediction modeling
  • - Care gap identification
  • - Best practice implementation
View Required Datasets ↓

Your Data Needed:

  • • Clinical protocols
  • • Treatment data
  • • Outcome metrics
  • • Provider patterns

Our Complementary Data:

  • • MEDLINEPLUS.health_topic: Clinical guidelines
  • • NLM.rxnrel: Drug interactions
  • • FDA.ndc_label: Drug information
  • • SYNTHEA.procedures: Care patterns
Time to Value: 2-3 months

Facility Optimization

Your facility team can enhance operational performance.

4-5% efficiency gain

View Capabilities ↓
  • - Cost efficiency analysis
  • - Quality metric tracking
  • - Capacity utilization modeling
  • - Service line optimization
  • - Staffing pattern analysis
  • - Resource allocation planning
  • - Performance benchmarking
  • - Improvement targeting
View Required Datasets ↓

Your Data Needed:

  • • Operational metrics
  • • Financial data
  • • Quality measures
  • • Resource utilization

Our Complementary Data:

  • • CMSDATARESEARCH.costreport_mimi_hosp: Cost patterns
  • • PROVDATACATALOG.hospital_general: Facility data
  • • DATACMSGOV.mupihp: Performance metrics
  • • OPENPAYMENTS.research: Resource utilization
Time to Value: 3-4 months

Care Path Optimization

Your clinical teams can optimize treatment pathways.

3-4% cost reduction

View Capabilities ↓
  • - Care variation analysis
  • - Outcome tracking
  • - Cost-effectiveness assessment
  • - Best practice identification
  • - Protocol compliance monitoring
  • - Resource utilization analysis
  • - Quality metric integration
  • - Pathway improvement modeling
View Required Datasets ↓

Your Data Needed:

  • • Clinical pathways
  • • Outcome data
  • • Cost metrics
  • • Quality measures

Our Complementary Data:

  • • SYNTHEA.encounters: Care patterns
  • • AHRQ.meps_event_inpatientstays: Treatment data
  • • DATACMSGOV.mupphy: Provider patterns
  • • MEDLINEPLUS.health_topic: Clinical guidelines
Time to Value: 3-4 months

Our Approach - Our strength is openness

At mimilabs, we believe in complete transparency and accessibility. Every dataset we provide is fully traceable to its primary source, ensuring you can trust and verify the data that drives your decisions.

Our mission is to democratize healthcare data access. We maintain pristine data lineage - every table and field can be traced back to its authoritative source, whether it's CMS, FDA, CDC, or other federal and state agencies. No black boxes, no hidden transformations - just clean, reliable data ready for your team to use.

What sets us apart isn't just the volume of data, but our commitment to openness and accuracy. Each dataset comes with complete documentation, update frequencies, and direct links to source materials. We believe this transparency is essential for healthcare innovation and better decision-making.

Healthcare Data
20+ TB
Public Datasets
150+
Government Agencies
15+

Offerings - Transforming healthcare through data intelligence

Our enterprise access unlocks a complete ecosystem - instant data delivery, expert-led workshops, and a vibrant community. We harness the power of data and technology to streamline repetitive processes and embrace open science, freeing your team to focus on innovation. Why reinvent the wheel when you can build upon proven solutions and gain immediate insights?

Access

within your data warehouse via Delta Sharing, S3, etc.

Enterprise-grade healthcare data, ready when you are

  • - Instant integration with your existing data infrastructure
  • - Flexible delivery through delta sharing or custom pipelines
  • - Automatic updates and quality assurance
  • - Zero engineering overhead
  • - Custom formats and aggregations on demand

Train

Customized workshops designed around your data and business

Accelerate your team's capabilities with tailored solutions

  • - Deep-dive assessment of your current data landscape
  • - Custom workshops built around your specific use cases
  • - Strategic integration with your existing workflows
  • - Expert guidance on untapped opportunities
  • - Rapid path to ROI with proven methodologies

Community

Learn from the industry leaders and innovators

Connect with healthcare data professionals

  • - Full access to the mimilabs knowledge network
  • - Implementation insights from industry peers
  • - Expert guidance on dataset applications
  • - Innovation-focused discussions
  • - Early access to new datasets and features

What mimilabs does is not just amazing, it is the future.

A mimilabs community member

Workshops - Upcoming Workshops for Healthcare Innovation

Join us in our mission to democratize healthcare analytics with hands-on workshops led by industry experts.

Starting January 13, 2025

Community Access

HCC Risk Adjustment with FHIR

Deep dive into HCC logic using modern FHIR standards. Learn to handle claims data, implement risk adjustment models, and analyze complex patient populations using our open-source hccinfhir package and realistic synthetic datasets.

Starting February 10, 2025

Community Access

Social Determinants of Health Analysis

Navigate the complex landscape of SDoH data sources from ADI to SVI. Explore how these metrics shape value-based care models and discover advanced datasets that reveal deeper insights about patient populations through US Census integration.

Coming Soon

Enterprise Access

Provider Economics & Utilization Analysis

Unlock the power of public datasets to understand provider finances and service patterns. Learn to analyze diverse revenue streams, interpret Open Payments data, and leverage these insights for value-based contracting strategies.

Why mimilabs - Accelerating Healthcare Innovation Through Data

We transform complex healthcare data into actionable intelligence, helping organizations unlock new opportunities while eliminating redundant work. Our carefully curated datasets and expert solutions power the next generation of healthcare analytics.

  • Always Up-to-Date Healthcare Data. Access fresh, reliable public datasets updated daily. From latest code sets to regulatory changes, get the most current healthcare data without maintaining complex pipelines. Stop wondering if you're working with outdated information.
  • Single Source of Truth. Cut through the chaos of scattered healthcare data sources. We've done the work of finding, validating, and organizing authoritative public datasets that are often buried in complex government portals and fragmented systems.
  • Comprehensive Reference Data. Instantly access essential healthcare reference data: procedure codes, diagnosis codes, provider directories, facility information, and compliance requirements. All standardized and ready for analysis, updated as changes occur.
  • Performance & Benchmarking. Transform siloed operational data into actionable insights. Compare your performance against national benchmarks, analyze quality metrics, and identify opportunities using consistently updated public reporting data.
  • Impact-Ready Datasets. Empower your data team with carefully curated datasets that directly impact healthcare delivery. From population health analytics to value-based care metrics, access the data you need to drive meaningful improvements.

Work with us

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Our offices

  • Palo Alto, CA
    Corporate HQ
  • Atlanta, GA
    Technology Branch