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MDClone is a healthcare data analytics platform that provides the ADAMS environment, a self-service space for data exploration and collaboration. Built to solve the bottleneck of data access in medical settings, it allows users to query complex datasets without compromising patient privacy. The core capability lies in its use of synthetic data, which mimics real patient data patterns while removing individual identifiers. This enables researchers and clinicians to innovate faster and share insights across organizations securely. The platform also integrates generative AI through ADAMS Copilot to assist with data mining and visualization. It is designed for healthcare systems, life science companies, and academic researchers who need to turn raw EHR data into actionable clinical outcomes. By breaking down data silos, MDClone helps improve patient care, operational efficiency, and medical research.
4.8/5
High-fidelity synthetic data and clinical insights
Professional and data-centric
To enable secure healthcare data exploration and collaboration through synthetic data and AI.
Integrates with major Electronic Health Record systems and clinical databases.
Enterprise-level custom pricing
Features with the highest value for users are highlighted here.
Synthetic healthcare data generation
ADAMS Copilot generative AI assistant
Self-service data exploration environment
Predictive deep learning models
Real-time data visualization
Collaborative research tools
Clinical Researchers
Hospital Administrators
Data Scientists
Public Health Officials
Life Science Companies
IT Departments
Medical Educators
Quality Improvement Teams
Academic Medical Centers
Healthcare Consultants
Enterprise
Research Partnership
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