MDClone - Detailed Review
Analytics Tools
MDClone - Product Overview
Overview of MDClone
MDClone is a pioneering company in the healthcare data analytics sector, founded in Israel in 2016. Here’s a brief overview of their product and its key aspects:
Primary Function
MDClone’s primary function is to provide a self-service data analytics environment that enables exploration, discovery, and collaboration across healthcare ecosystems. The company’s ADAMS Platform is central to this, allowing users to access, analyze, and act on healthcare data quickly and securely.
Target Audience
The target audience for MDClone includes major health systems, payers, life science companies, government entities, and research institutions. Specifically, their clients include notable organizations such as the Department of Veterans Affairs, the National Institutes of Health, Intermountain Healthcare, and several other prominent healthcare and research institutions in the U.S., Canada, Israel, and increasingly in Europe and the Asia Pacific region.
Key Features
Synthetic Data
MDClone’s platform generates synthetic data that mimics the statistical characteristics of real-world data, ensuring patient privacy while allowing for extensive data analysis.
Self-Service Analytics
The platform offers self-service tools, enabling users to interact with data in real time without needing technical mediators or external teams. This includes a user-friendly interface and the ability to ask questions and generate insights instantly.
Longitudinal Data Organization
The platform can organize and manage longitudinal data, which is crucial for tracking patient health over time.
Powerful Query Engine
Users can leverage a powerful query engine to explore data dynamically and fluidly, creating new datasets based on specific population characteristics.
Natural Language Processing (NLP) Studio
The platform includes an NLP studio, enhancing the ability to analyze unstructured data.
Collaborative Tools
MDClone provides collaborative tools that facilitate research and innovation among different stakeholders within healthcare ecosystems.
Continuous Data Feeds and Flexible Infrastructure
The platform supports continuous data feeds and has a flexible infrastructure that integrates with third-party tools, ensuring seamless data ingestion and analysis.
Conclusion
Overall, MDClone’s ADAMS Platform is designed to make healthcare data more accessible, secure, and actionable, driving better patient outcomes, improving operations, and fostering innovation in the healthcare sector.
MDClone - User Interface and Experience
User Interface of MDClone’s ADAMS Platform
The user interface of MDClone’s ADAMS Platform is crafted with a focus on simplicity, intuitiveness, and ease of use, making it accessible to a wide range of healthcare professionals.
User-Friendly Interface
MDClone boasts a simple and intuitive interface that allows users to find the insights they need without requiring extensive training. The platform is designed to be user-friendly, ensuring that healthcare professionals can quickly adapt and start using it effectively.
Ease of Use
The interface is easy to use, even for those who may not have a strong technical background. Demonstrations of the platform have shown that users can explore data instantly and dynamically, pulling insights within minutes. This ease of use is highlighted in demos where users like Dr. Wartenfeld can visualize results, adjust chart settings, and save visuals for later use with minimal effort.
Real-Time Analytics and Data Visualization
The platform provides real-time data analytics, enabling quicker decision-making. It includes powerful data visualization tools that help users understand complex data through graphs and charts. Users can layer on demographics and adjust charts based on specific interests, making data analysis more insightful and interactive.
Customizable Dashboards
MDClone allows users to create personalized dashboards that suit their specific data requirements. This customization improves usability and ensures that users can focus on the data that is most relevant to their needs.
Secure Data Sharing and Collaboration
The platform ensures that sensitive data is shared securely between authorized users, maintaining patient privacy. It also provides collaborative tools that support teamwork among healthcare teams, fostering better communication and shared insights.
Overall User Experience
The overall user experience is enhanced by the platform’s ability to integrate seamlessly with existing healthcare systems. This integration ensures that users can leverage their current data resources effectively. Additionally, the platform’s emphasis on privacy and security, along with its excellent customer support, contributes to a positive user experience.
Conclusion
In summary, MDClone’s ADAMS Platform offers a seamless, intuitive, and secure environment for healthcare professionals to analyze and share data, making it an effective tool for improving patient outcomes and operational efficiencies.
MDClone - Key Features and Functionality
MDClone’s ADAMS Platform Features
MDClone’s analytics tools, particularly the ADAMS Platform, are equipped with several key features that leverage AI and advanced data analytics to enhance healthcare data management and analysis. Here are the main features and how they work:
Longitudinal Data Organization
MDClone’s platform organizes healthcare data in a longitudinal manner, meaning it structures data over time to provide a comprehensive view of patient care paths. This organization enables users to track patient outcomes and treatments more effectively, which is crucial for long-term care planning and research.
Synthetic Data Generator
The platform generates synthetic medical data, which is created by extracting statistical characteristics and dependencies from real medical data and then extrapolating to produce fictitious patient data. This process ensures that patient privacy is maintained while still allowing for valuable insights and analysis.
Natural Language Processing Engine
MDClone’s ADAMS Platform incorporates a natural language processing (NLP) engine that allows users to interact with the platform through a chat interface. This NLP capability translates natural language requests into data analysis tasks, making it easier for users without programming knowledge to conduct complex data analyses. The chatbot uses finely crafted prompt-engineering techniques to ensure accuracy and compliance with privacy laws.
Continuous Data Feed Ingestion
The platform supports the continuous ingestion of data feeds from various sources, ensuring that the data remains up-to-date and dynamic. This feature allows healthcare organizations to incorporate new data elements continuously, enhancing the accuracy and relevance of the insights generated.
Integrated 3rd Party Analytics Tools
MDClone’s platform integrates with third-party analytics tools, providing a comprehensive analytics environment. This integration enables users to leverage a wide range of analytical capabilities without needing to switch between different platforms.
User-Friendly Interface
The ADAMS Platform offers a user-friendly interface that allows any user within the healthcare team to ask questions, explore data, and take action based on the insights discovered. This interface is designed to be accessible even to those without prior programming knowledge, thanks to the NLP-driven chat interface.
AI-Driven Analyses
The collaboration with TensorOps has integrated Large Language Models (LLMs) into the ADAMS Platform, enabling advanced AI-driven analyses. These LLMs interpret user requests, translate them into data analysis tasks, and execute these tasks in a safe Python environment to provide insights back to the users. This integration enhances the platform’s ability to conduct complex data analyses intuitively.
Privacy and Compliance
MDClone’s platform is HIPAA-compliant and ensures that all data analysis tasks are performed within the platform’s cloud boundaries, without sharing any data with third parties. This focus on privacy and compliance is crucial for maintaining the integrity and confidentiality of sensitive medical data.
Dynamic Data Exploration and Action
The platform enables a rapid cycle of idea-to-data-to-insight, allowing users to ask questions, discover insights, act on new understandings, measure performance, and share ideas quickly. This dynamic process facilitates continuous learning, improvement, and innovation within healthcare organizations.
By combining these features, MDClone’s ADAMS Platform provides a powerful, self-service data analytics environment that enhances healthcare collaboration, research, and innovation while ensuring patient privacy and compliance with regulatory standards.
MDClone - Performance and Accuracy
Evaluating the Performance and Accuracy of MDClone’s ADAMS Platform
Performance
User-Friendly Interface
The MDClone ADAMS Platform is praised for its user-friendly and self-service nature, making it accessible to non-technical users. It addresses common challenges such as the lack of simplicity, dynamic capabilities, and specificity in other data analytics platforms. Users can ask any question and receive rapid, deeply relevant insights without needing extensive technical skills.Dynamic Data Exploration
The platform allows for dynamic exploration of data, enabling users to adjust parameters, compare populations, and explore data using visualizations in real-time. This capability significantly reduces the time and effort required for data analysis and allows for more flexible and interactive data exploration.Real-Time Insights
MDClone’s ADAMS Platform provides real-time health data insights, which is crucial for clinical workflows, research, and innovation. This real-time capability helps in accelerating improvements in patient care and operational efficiencies.Collaboration and Innovation
The platform facilitates secure and dynamic collaboration between health systems and pharmaceutical organizations, which is particularly beneficial for life science research and clinical trials. It accelerates site selection, patient recruitment, and reduces costs associated with these processes.Accuracy
HIPAA Compliance and Data Privacy
The ADAMS Platform operates within a HIPAA-compliant environment, ensuring that patient privacy is strictly maintained. It uses synthetic data technology to protect patient information, allowing for detailed data analysis without compromising confidentiality.AI-Driven Analytics
The platform incorporates AI, specifically through a chatbot named Adam, which uses finely crafted prompt-engineering techniques to ensure accuracy in statistical analysis and data visualization. This AI-driven approach helps in uncovering insights that were previously inaccessible.Data Integrity
MDClone’s commitment to data integrity is evident in its architecture, which ensures that no data is shared with third parties and all data remains within the platform’s cloud boundaries. This ensures the confidentiality and integrity of sensitive medical data.Limitations or Areas for Improvement
Dependency on Technology and Expertise
While the platform is user-friendly, it still requires some level of technical expertise to fully leverage its capabilities. Smaller or less technologically advanced healthcare organizations might face challenges in implementing and utilizing the platform to its full potential.Continuous Evaluation and Feedback
To maintain high performance and accuracy, continuous monitoring and evaluation of the clinical workflows and data analysis processes are necessary. This involves regular feedback and adjustments, which can be time-consuming but are essential for ongoing improvement.Conclusion
In summary, MDClone’s ADAMS Platform excels in providing a user-friendly, dynamic, and secure environment for healthcare data analysis, driven by AI and a strong focus on data privacy and accuracy. However, it may require ongoing evaluation and feedback to ensure it meets the evolving needs of healthcare professionals. MDClone - Pricing and Plans
The Pricing Structure of MDClone
The pricing structure of MDClone, particularly in its analytics tools and data access, is structured around the type of data and the level of access required. Here are the key points:
Synthetic Data
- This is the free tier available to Washington University researchers with access to MDClone.
- Users can build queries and download computationally derived (synthetic) data without any cost.
- There is no limit to the number of queries or synthetic datasets you can download, although large queries might encounter issues.
Limited EHR Dataset (Data Lake Data)
- Access to this level of data requires IRB approval and involves a fee.
- The data brokerage team charges $150 per hour for processing these requests.
- For most queries, this process takes about 1-3 weeks and costs around $450. However, more complex requests can take 7-10 weeks and cost between $750-$1500.
Accessing Original Data
- For accessing the original data, users must go through a more extensive process, including IRB approval and a consultation with the data brokerage team.
- This involves completing the I2DB Central Request Form, receiving a Statement of Work (SOW) with an estimated total cost, and then receiving the dataset in a WUSTL Box folder.
Additional Support and Resources
- MDClone provides various support services, including online training, onboarding, and demonstration videos, all of which are part of the platform’s free access for eligible users.
There is no explicit tiered pricing plan mentioned beyond the distinction between free synthetic data access and the fee-based access to limited EHR datasets or original data. The costs associated are primarily tied to the administrative and processing efforts required for accessing more sensitive or detailed data sets.
MDClone - Integration and Compatibility
MDClone’s ADAMS Platform Overview
The ADAMS Platform is engineered to integrate seamlessly with various tools and ensure compatibility across different platforms and devices, making it a versatile and user-friendly solution for healthcare data analytics.
Integration with Other Tools
The ADAMS Platform supports the integration of third-party analytics tools, allowing users to leverage a wide range of analytical capabilities without being limited to a single ecosystem. This flexibility enables healthcare organizations to incorporate their existing tools and workflows into the MDClone environment, enhancing overall efficiency and productivity.
Continuous Data Feeds and Longitudinal Data
The platform can ingest continuous data feeds, ensuring that users have access to up-to-date and comprehensive data. This data is organized longitudinally, providing a detailed timeline of patient events, which is crucial for in-depth analysis and insights.
Synthetic Data and Collaboration
MDClone’s synthetic data generator allows for secure collaboration by creating data that closely mimics real patient data while safeguarding individual patient information. This feature is particularly useful for cross-institutional and global collaborations, as it ensures data privacy and compliance with regulations such as HIPAA.
Natural Language Processing and Chat Interface
The integration of Large Language Models (LLMs) and natural language processing engines enables users to interact with the ADAMS Platform through a chat interface. This makes it possible for clinical professionals and researchers to perform complex data analyses without needing to write SQL or Python code, significantly enhancing user accessibility and ease of use.
Cloud Compatibility
The ADAMS Platform is built on Azure, ensuring compliance with strict regulations such as HIPAA. This cloud-based infrastructure provides a secure environment for data storage and analysis, maintaining the integrity and confidentiality of sensitive medical data.
User-Friendly Interface
The platform offers a user-friendly interface that supports independent self-service discovery, allowing users to interact with all patient data from any source. This interface is designed to be intuitive, facilitating a fast and fluid process for data exploration, analysis, and action.
Conclusion
In summary, MDClone’s ADAMS Platform is highly integrative, compatible with various tools and platforms, and ensures data privacy and compliance, making it an effective solution for healthcare data analytics.
MDClone - Customer Support and Resources
Customer Support Options
MDClone provides a comprehensive set of customer support options and additional resources to ensure users can effectively utilize their ADAMS (Ask, Discover, Act, Measure, and Share) platform.
User Support
- Users can contact MDClone’s support team for assistance. For example, at the Institute for Informatics, Data Science and Biostatistics (I2DB) at Washington University in St. Louis, users can reach out to the Clinical Specialist, Michelle Schneider, for questions regarding the platform.
Online Training and Onboarding
- MDClone offers online training and onboarding sessions to help users get familiar with the platform. This includes demonstration videos that guide users through the various features and functionalities of ADAMS.
Data Brokerage Services
- For users needing access to original data, MDClone provides data brokerage services. This involves completing an IRB application and following a specific process to obtain the required data, which may incur a fee (e.g., $150 per hour for the data brokerage team).
Multi-Source Data Integration and Synthetic Data
- MDClone’s platform allows users to work with synthetic data, which is computationally derived from real patient data but stripped of protected health information (PHI). This ensures data privacy while maintaining the integrity of the data for research purposes.
Technical and Compliance Support
- MDClone’s partnership with Cloudera provides a flexible and secure data lake environment. This setup ensures compliance with local regulations around patient data management and offers integrated and consistent security through Cloudera’s Shared Data Experience (SDX), which tracks, authorizes, and audits access to patient records.
Case Studies and Success Stories
- MDClone offers customer spotlights and case studies that showcase how their platform has helped various healthcare organizations solve real healthcare challenges, drive innovation, and achieve positive outcomes. These resources can be valuable for new users looking to understand the practical applications and benefits of the ADAMS platform.
AI-Driven Tools and Integration
- The platform integrates Large Language Models (LLMs) for a more intuitive interaction, allowing users to conduct complex data analyses through a chat interface without needing prior programming knowledge. This integration enhances the user experience and facilitates advanced AI-driven analyses.
By providing these support options and resources, MDClone ensures that users can effectively leverage the capabilities of the ADAMS platform to improve healthcare data analytics and patient outcomes.
MDClone - Pros and Cons
Advantages of MDClone
MDClone’s ADAMS Platform offers several significant advantages, particularly in the analytics tools and AI-driven product category:Enhanced Data Access and Analysis
- The platform provides a self-service environment where users can interact with data in real-time without needing technical mediators or external teams. This allows for instant access to data, enabling faster intervention, highly personalized treatment, and improved predictive analysis.
Synthetic Data Capabilities
- MDClone’s synthetic data engine allows users to create and access synthetic data by querying original data. This protects patient privacy while enabling accurate AI-driven analyses, which is crucial for maintaining HIPAA compliance.
User-Friendly Interface
- The ADAMS Platform features a plain language, user-friendly interface and a powerful query engine, making it accessible to users who may not have prior programming knowledge. The integration of Large Language Models (LLMs) enables users to interact with the platform through a chat interface, simplifying complex data analysis tasks.
Dynamic Data Exploration
- The platform offers a dynamic and fluid process for data exploration, analysis, and action. Users can switch between original and synthetic data at the click of a mouse, ensuring seamless transitions and efficient project management.
Advanced AI-Driven Analyses
- The collaboration with TensorOps has integrated Generative AI (GenAI) capabilities, allowing for advanced statistical analysis, data visualization, and statistical modeling through intuitive chat requests. This enhances the accuracy and security of data analysis.
Scalability and Security
- MDClone’s partnership with Cloudera ensures consistent data formats and pipelines, integrating large volumes of medical information securely. This setup helps in automating technical aspects, minimizing errors, and ensuring data protection.
Collaboration and Research
- The platform facilitates collaboration between teams, organizations, and even third parties by enabling secure access to synthetic data. This is particularly beneficial for life science organizations conducting post-marketing analyses and identifying promising patient cohorts.
Disadvantages of MDClone
While MDClone’s ADAMS Platform offers numerous benefits, there are some potential drawbacks to consider:Dependency on Partnerships
- The effectiveness of MDClone’s platform is partly dependent on its partnerships, such as the one with Cloudera. Any issues or disruptions in these partnerships could impact the platform’s performance and scalability.
Technical Requirements
- Although the platform is user-friendly, it still requires a certain level of technical setup and maintenance. For instance, managing local installations and ensuring security updates can be resource-intensive, as highlighted by the example of addressing the Log4J security breach.
Access Restrictions
- While the platform allows for easy switching between original and synthetic data, access to these datasets is still restricted based on user permissions. This can sometimes limit the scope of analysis for users without the required level of access.
MDClone - Comparison with Competitors
When Comparing MDClone to Competitors
When comparing MDClone to its competitors in the AI-driven analytics tools category, several key features and differences stand out.
Unique Features of MDClone
MDClone’s ADAMS (Ask, Discover, Act, Measure, and Share) platform is specifically tailored for healthcare data analytics. Here are some of its unique features:
- Self-Service Data Exploration: MDClone allows healthcare teams to independently discover, analyze, and act on data without requiring programming skills.
- Multi-Source Data Integration: The platform integrates large volumes of medical data, including genetic data, electronic health records, medication information, and more, into a user-friendly environment.
- Synthetic Data Collaboration: MDClone uses synthetic data to enable secure collaboration, reducing administrative burdens and enhancing strategic innovation.
- Compliance and Security: The platform, supported by Cloudera, ensures compliance with stringent patient data privacy regulations and provides a secure data lake environment.
Competitors and Alternatives
Rhino Health
Rhino Health is another healthcare data platform that focuses on providing access to patient data for developing and commercializing AI models. Unlike MDClone, Rhino Health does not emphasize synthetic data collaboration but is strong in federated learning, allowing for decentralized data analysis.
Aindo
Aindo offers a synthetic data platform (SDP) that allows users to submit and manage synthetic data, similar to MDClone’s synthetic data capabilities. However, Aindo’s focus is broader, encompassing AI and data management across various sectors, not just healthcare.
Briya
Briya specializes in healthcare and life sciences, offering a platform for real-time data retrieval and research. While it shares some similarities with MDClone in terms of healthcare focus, Briya does not highlight the same level of synthetic data collaboration or self-service data exploration.
SAS Visual Analytics
SAS Visual Analytics is a more general data visualization and exploration tool that uses AI to automate data analysis. It is not specifically tailored for healthcare but can be used across various industries. SAS Visual Analytics focuses on uncovering hidden patterns and trends using machine learning algorithms, which is different from MDClone’s healthcare-centric approach.
Tableau
Tableau is a powerful data visualization and analytics platform that uses AI for recommendations and predictive modeling. While it is highly versatile and can be used in healthcare, it does not have the same level of healthcare-specific features as MDClone. Tableau’s strengths lie in its interactive dashboards and natural language processing capabilities.
Key Differences
- Industry Focus: MDClone is highly specialized in healthcare, integrating and analyzing vast amounts of medical data, whereas competitors like Tableau and SAS Visual Analytics are more general-purpose tools.
- Synthetic Data: MDClone’s emphasis on synthetic data for secure collaboration is a unique feature that sets it apart from many of its competitors.
- Self-Service Capability: The platform’s self-service nature, allowing users to analyze data without programming skills, is a significant advantage in the healthcare sector where technical expertise may vary widely.
In summary, while MDClone has several competitors in the AI-driven analytics space, its specific focus on healthcare, use of synthetic data, and self-service capabilities make it a standout option for healthcare organizations seeking to analyze and act on large volumes of medical data.
MDClone - Frequently Asked Questions
What is MDClone and what does it offer?
MDClone is a health data company that provides a self-service data analytics environment called the ADAMS Platform. This platform is designed to facilitate exploration, discovery, and collaboration throughout healthcare ecosystems. It enables users to organize, access, and protect patient data while accelerating research, improving operations, and driving innovation to deliver better patient outcomes.
What is the ADAMS Platform, and how does it work?
The ADAMS Platform stands for Ask, Discover, Act, Measure, and Share. It is a user-friendly platform that allows healthcare teams to ask questions, discover insights, act on new findings, measure performance, and share ideas. This platform supports dynamic data exploration, analysis, and action, enabling fast access to insights without requiring extensive programming skills.
How does MDClone handle patient data privacy?
MDClone’s ADAMS Platform places a strong emphasis on patient data privacy. It uses synthetic data, which mimics the statistical characteristics of real-world data but is not attached to actual patients. This approach allows for the analysis of large datasets while ensuring patient privacy and compliance with privacy regulations.
What are the key capabilities of the MDClone ADAMS Platform?
The platform offers several key capabilities, including:
- Longitudinal data organization
- Synthetic data generation
- Natural language processing engine
- Continuous data feed ingestion
- Integrated third-party analytics tools
- User-friendly interface
- Ability to interact with all patient data from any source
- Collaboration using synthetic data
Who are some of the notable clients and partners of MDClone?
MDClone serves major health systems, payers, and life science companies. Some of its notable clients include the Department of Veterans Affairs, the National Institutes of Health, Intermountain Healthcare, Regenstrief Institute, The Ottawa Hospital, and Sheba Medical Center.
How does MDClone support collaboration and research?
The ADAMS Platform facilitates collaboration by allowing teams and organizations to use synthetic data, which enables them to share and analyze data without compromising patient privacy. This feature is particularly useful for life science organizations that need to identify promising patient cohorts for post-marketing analyses.
What funding has MDClone received, and how is it being used?
MDClone has received significant funding, including a $63 million Series C funding round in 2022. This funding is being used to power the company’s continued global growth, expand into new regional markets such as the Asia Pacific region, Europe, and the Middle East, and to build upon its existing platform and enter new vertical markets like real-world evidence.
What awards and recognitions has MDClone received?
MDClone has been recognized with several awards, including the 2021 and 2022 Best Healthcare Big Data Platform Award by MedTech Breakthrough and the 2021 Technology Pioneer by the World Economic Forum.
How does MDClone’s platform help in improving patient care and operational processes?
The ADAMS Platform empowers healthcare teams to take action based on real-time insights, improving patient care and operational processes. It allows for the implementation of new protocols, improvement of clinical workflows, and the visualization of discoveries to measure impacts and monitor progress.
Is MDClone’s platform user-friendly for non-technical users?
Yes, the MDClone ADAMS Platform is designed to be user-friendly, even for users without extensive programming skills. It enables users to explore data dynamically, find insights within minutes, and interact with data elements in a straightforward manner.
MDClone - Conclusion and Recommendation
Final Assessment of MDClone in the Analytics Tools AI-driven Product Category
MDClone stands out as an innovative and comprehensive data analytics platform specifically tailored for the healthcare sector. Here’s a detailed assessment of its benefits, target users, and overall recommendation.Key Benefits and Capabilities
- Self-Service Data Analytics: MDClone’s ADAMS Platform offers a self-service environment that enables healthcare professionals to explore, analyze, and act on patient data without needing extensive programming skills or reliance on data scientists.
- Data Privacy and Security: The platform is HIPAA-compliant and features a synthetic data generator, ensuring patient privacy while allowing for extensive data analysis and collaboration.
- Dynamic Data Exploration: It supports a fast, non-linear process for data exploration, allowing users to interact with all patient data from any source, including longitudinal, unstructured, and continuous data feeds.
- Collaboration and Integration: The platform facilitates collaboration across different departments and external organizations through its ability to integrate third-party analytics tools and leverage synthetic data.
- Impactful Outcomes: MDClone has helped health systems like Intermountain Healthcare save millions by identifying high-risk patients and implementing early interventions, resulting in significant reductions in unplanned admissions.
Who Would Benefit Most
- Healthcare Providers: Hospitals, health systems, and clinical teams can greatly benefit from MDClone’s platform. It empowers front-line staff to ask questions about their organization’s data, leading to quicker insights and better patient care.
- Researchers: The platform’s ability to organize, access, and protect patient data makes it an invaluable tool for researchers looking to accelerate their studies and improve clinical outcomes.
- Payers and Life Science Companies: These entities can leverage MDClone’s data analytics to improve population health initiatives, optimize operations, and drive innovation in healthcare.
- Government Entities: Organizations like the Department of Veterans Affairs can utilize MDClone to enhance their data-driven initiatives and improve patient care within their ecosystems.
Overall Recommendation
MDClone is highly recommended for any healthcare organization seeking to enhance their data analytics capabilities. Here are some key reasons:- User-Friendly Interface: The platform is accessible to a wide range of users, from clinicians to researchers, without requiring advanced technical skills.
- Proven Success: MDClone has been recognized as the “Best Healthcare Big Data Platform” for multiple years and has demonstrated significant cost savings and improved patient outcomes in various health systems.
- Global Reach and Partnerships: With partnerships across major health systems, government entities, and life science companies in the U.S., Canada, and Israel, MDClone offers a well-supported and globally recognized solution.