MDClone ADAMS
Overview
MDClone ADAMS is a self-service data analytics platform designed for healthcare organizations to securely explore, analyze, and share real-world patient data. A core capability of the platform is its advanced synthetic data generation technology. This allows users to create statistically robust, privacy-protected synthetic datasets that mirror the characteristics of original patient data without containing any identifiable information.
For physicians and researchers, ADAMS provides a powerful environment to accelerate medical research, improve clinical quality, and drive operational efficiencies. It enables rapid insights into patient populations, disease trends, and treatment outcomes, fostering evidence-based decision-making and innovation.
The platform supports the development and validation of AI and machine learning models by providing access to high-fidelity, privacy-safe data. This is crucial for training and testing AI algorithms in a secure and compliant manner. Furthermore, ADAMS facilitates secure collaboration across departments and institutions, allowing for broader data utilization and shared learning while maintaining strict data governance and patient privacy.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Secure real-world data exploration
- Synthetic data generation
- Self-service analytics environment
- Privacy-preserving data sharing
- Collaborative data workspace
- AI/ML model development support
- Data governance and auditing
- Scalable data infrastructure
- Integration with diverse data sources
- Real-time data insights
Use Cases
- Accelerating medical research
- Improving clinical quality and operations
- Developing and validating AI/ML models
- Population health management
- Clinical trial design and recruitment
- Secure data sharing and collaboration
What Physicians Need to Know
Physicians can leverage MDClone ADAMS for self-service data exploration to answer complex clinical questions, understand patient care pathways, and identify opportunities for improving care delivery. The platform provides longitudinal patient timelines and allows analysis of structured and unstructured data without requiring advanced programming skills. The integrated ADAMS Copilot, a generative AI assistant, further streamlines data preparation, visualization, and insight generation, empowering clinicians to directly engage with data for research, quality improvement, and operational insights.
MDClone ADAMS is designed for robust integration, ingesting diverse data feeds directly from health system sources. This includes clinical and non-clinical, structured and unstructured data elements from EMRs, device data, claims, imaging results, and genetic markers. The platform supports integrated third-party analytics tools and offers flexible deployment options across multi-cloud, hybrid, or on-premises environments. It also incorporates a Natural Language Processing (NLP) engine and a synthetic data generator for enhanced data utility and privacy.
Details
| Category | Drug Discovery & Research, Population Health Analytics, Practice Analytics & BI |
| Pricing |
Contact for pricing
|
| Deployment | Web-based interface; securely within each customer's own data environment, behind their firewall. |
| Mobile App | No |
| API Available | Yes |
| Data Export | Yes |
| Languages | English |
| Training | Yes |
| Target Size | Major health systems, government entities, payers, and life science companies. |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Yes AI-estimated |
| FDA Status | No AI-estimated — N/A |
| GDPR | Yes AI-estimated |
| Integrations | |
| EHR | Not specified |
| Specialties | Laboratory Medicine, Pathology, Radiology |
Social Proof
| Customers | Serves 100% of the Israeli healthcare market and leading health systems across seven countries globally. |
| Notable | Intermountain HealthcareMayo ClinicWashington University in St. LouisUCSF HealthRambam Health Care Campus |
Support & Reliability
| Training Provided | Yes |
What the Web Says
MDClone ADAMS is a self-service healthcare data analytics platform designed to empower healthcare professionals, including clinicians and researchers, to explore, analyze, and act on large volumes of patient data efficiently and securely. The platform's key differentiator is its ability to generate high-fidelity synthetic data, which mirrors the statistical characteristics of real patient data without compromising privacy, thereby accelerating research and innovation by reducing the need for extensive IRB approvals. It aims to overcome traditional barriers in healthcare data access and utilization, fostering a continuous learning culture within health systems.
Overall: PositiveStrengths
- Effortless transformation of complex healthcare data into usable, safe, and actionable insights.
- Synthetic data capability allows for exploration and innovation without privacy barriers and accelerates research by often bypassing IRB approval.
- Self-service environment empowers healthcare teams and clinicians, including non-programmers, to independently access and analyze data.
- Reduces bottlenecks and delays associated with traditional data access methods and administrative burdens.
- Supports various applications including clinical research, operational improvements, quality improvement, and population health management.
- Facilitates secure collaboration and sharing of information internally and externally.
Limitations
- Some advanced features can be overwhelming for users unfamiliar with data workflows, leading to a learning curve.
- Proficiency requires training and experience, especially for more complex queries.
- There may still be missing data points.
- Initial learning curve can be steep.
Based on reviews from: G2, OpenTools.ai, Elion, Real Reviews, MDClone.com, KLAS Research, Rank my AI, Digital Health, NoCamels, Manchester University NHS Foundation Trust
Last updated: 2026-08-26
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Press & Coverage
Videos
Product demos, reviews, and walkthroughs for MDClone ADAMS.
MDClone & The Adams Center: Animated Explainer
MDClone
Synthetic Data Au2013Z with the MDClone ADAMS Platform
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MDClone: ADAMS Center
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aMoon Portfolio Spotlight: MDClone
aMoon Fund
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HIMSS 24: Brandi Meyers - VP of Revenue Operations, MDClone
Talking HealthTech
Frequently Asked Questions
Investors who backed MDClone ADAMS
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