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Oncology Analytics

Flatiron Health

Transform cancer care through real-world data intelligence and clinical insights

HIPAA, SOC 2 Type II
500+
ISO 27001
Category
Software
Ideal For
Cancer Care Providers
Deployment
Cloud
Integrations
50++ Apps
Security
HIPAA compliance, encrypted data transmission, role-based access controls, audit logging
API Access
Yes - RESTful API for data integration and custom workflows

About Flatiron Health

Flatiron Health is a leading healthcare technology platform that aggregates, organizes, and analyzes real-world data (RWD) from cancer patients across diverse care settings. The platform transforms unstructured clinical data into actionable real-world evidence (RWE) that enables oncology providers, researchers, and life sciences companies to improve patient outcomes, optimize clinical workflows, and accelerate cancer research. By leveraging advanced natural language processing and machine learning, Flatiron Health extracts meaningful insights from electronic health records, treatment patterns, and patient outcomes. AiDOOS enhances Flatiron Health deployment by providing managed integration services, governance frameworks for HIPAA-compliant data handling, and scalable infrastructure optimization. Organizations leveraging AiDOOS gain accelerated implementation timelines, reduced operational overhead, and enhanced data security posture. The platform supports multi-stakeholder collaboration, enabling seamless data sharing between providers, researchers, and industry partners while maintaining strict compliance and privacy standards.

Challenges It Solves

  • Cancer care providers struggle to extract actionable insights from fragmented clinical data across systems
  • Life sciences companies lack access to real-world evidence needed to validate treatment efficacy
  • Clinical research teams face barriers in identifying patient cohorts and analyzing treatment outcomes at scale
  • Healthcare organizations cannot efficiently track treatment patterns and optimize oncology care delivery
  • Regulatory compliance and data security complexities slow research and clinical decision-making

Proven Results

72
Faster patient cohort identification for clinical trials
58
Improved treatment outcome tracking and analysis
45
Accelerated drug development and real-world evidence generation

Key Features

Core capabilities at a glance

Real-World Data Aggregation

Unified oncology data from multiple sources

Consolidate fragmented patient data into actionable insights

Natural Language Processing

Extract insights from unstructured clinical notes

Identify treatment patterns and outcomes with 95%+ accuracy

Patient Cohort Analytics

Identify eligible patients for trials and research

Reduce cohort identification time by 70%

Treatment Outcome Tracking

Monitor real-world efficacy and safety data

Enable evidence-based clinical decision-making

Collaborative Research Platform

Secure data sharing across stakeholders

Accelerate multi-institutional research initiatives

Regulatory Compliance Management

Built-in HIPAA and data governance controls

Maintain full audit trail and compliance documentation

Ready to implement Flatiron Health for your organization?

Real-World Use Cases

See how organizations drive results

Clinical Trial Patient Recruitment
Oncology research teams use Flatiron to identify eligible patient populations from real-world data, reducing recruitment timelines and improving enrollment rates for cancer clinical trials.
64
Faster trial enrollment and improved patient matching
Real-World Evidence Generation
Pharmaceutical companies leverage the platform to validate drug efficacy, safety profiles, and treatment outcomes in real-world settings, supporting regulatory submissions and post-market surveillance.
58
Strengthened evidence base for drug approvals
Oncology Care Optimization
Cancer care providers use treatment pattern analytics to benchmark outcomes, identify best practices, and optimize care delivery protocols across their organization.
72
Improved patient outcomes and care standardization
Comparative Effectiveness Research
Academic medical centers conduct real-world comparative studies using aggregated data to understand treatment effectiveness across different patient populations and cancer types.
51
Evidence-driven treatment selection decisions

Integrations

Seamlessly connect with your tech ecosystem

E

Electronic Health Records (EHR) Systems

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Native integration with major EHR platforms to automatically extract and normalize clinical data

S

Salesforce

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CRM integration for life sciences sales teams to access real-world evidence insights

T

Tableau & Power BI

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Data visualization platform integration for creating custom analytics dashboards

R

REDCap

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Clinical research data management system integration for trial data coordination

D

Datadog & Splunk

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Monitoring and logging integration for platform performance and audit trails

A

AWS Healthcare Cloud

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Cloud infrastructure integration for secure, scalable data storage and processing

S

SFTP & HL7 Standards

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Standard healthcare data exchange protocols for third-party system connectivity

Implementation with AiDOOS

Outcome-based delivery with expert support

Outcome-Based

Pay for results, not hours

Milestone-Driven

Clear deliverables at each phase

Expert Network

Access to certified specialists

Implementation Timeline

1
Discover
Requirements & assessment
2
Integrate
Setup & data migration
3
Validate
Testing & security audit
4
Rollout
Deployment & training
5
Optimize
Performance tuning

See how it works for your team

Alternatives & Comparisons

Find the right fit for your needs

Capability Flatiron Health InTouch Health Health Catalyst Athenahealth
Customization Excellent Excellent Excellent Good
Ease of Use Good Good Good Excellent
Enterprise Features Excellent Excellent Excellent Excellent
Pricing Fair Fair Fair Fair
Integration Ecosystem Excellent Excellent Excellent Excellent
Mobile Experience Good Good Good Excellent
AI & Analytics Excellent Good Excellent Good
Quick Setup Fair Good Fair Good

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Frequently Asked Questions

How does Flatiron Health ensure patient privacy and HIPAA compliance?
Flatiron Health maintains HIPAA BAA compliance with end-to-end encryption, role-based access controls, comprehensive audit logging, and regular security assessments. All data handling follows strict de-identification protocols while preserving clinical value. AiDOOS further enhances governance through managed compliance frameworks and ongoing security optimization.
Can Flatiron integrate with our existing EHR system?
Yes. Flatiron Health offers native integrations with major EHR platforms including Epic, Cerner, and Allscripts. AiDOOS provides managed integration services to accelerate deployment and ensure seamless data flow while maintaining compliance standards.
What types of real-world data does the platform analyze?
The platform aggregates clinical notes, treatment records, lab results, imaging reports, pharmacy data, and patient outcomes. Advanced NLP extracts structured insights from unstructured clinical documentation to identify treatment patterns and outcomes.
How quickly can we deploy Flatiron Health?
Standard deployment typically takes 3-6 months depending on data complexity and integration requirements. AiDOOS accelerates implementation through pre-configured workflows, managed services, and governance frameworks, potentially reducing timelines by 40%.
Can multiple organizations share data through the platform?
Yes. Flatiron Health enables secure, HIPAA-compliant data sharing across providers, researchers, and life sciences companies. Granular controls ensure each stakeholder accesses only authorized information for their research or clinical objectives.
What analytics and reporting capabilities does Flatiron provide?
The platform offers customizable dashboards, cohort analytics, treatment pattern analysis, outcome tracking, and real-world evidence reports. Integration with Tableau and Power BI enables advanced visualization. AiDOOS helps optimize analytics infrastructure for scalable reporting.