Synthetic Data for Healthcare — MDClone
 
THE ADAMS PLATFORM

Maximize Collaboration with Synthetic Data

 
Maintain patient privacy and maximize data utility.
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challenge

Sharing Health Data is Laborious and Burdened by Barriers

Balancing patient privacy, legal, compliance, and security issues often hinder individuals, teams, and organizations as a whole from working together to share data.

 
 
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solution

Collaborate Freely Across Healthcare Ecosystems

The MDClone ADAMS Platform overcomes these common obstacles by allowing users to safely and securely access and share data and information across both internal and external entities with synthetic data.

With synthetic data, you are able to:

  • Explore data independent of IRB process

  • Access data instantly

  • Explore data dynamically

  • Maintain patient privacy

  • Share data worldwide

EXPLORE THE PLATFORM →

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What is Synthetic Data?

Synthetic data is non-reversible, artificially created data that replicates the statistical characteristics and correlations of real-world, raw data.

Utilizing both discrete and non-discrete variables of interest, synthetic data does not contain identifiable information because it uses a statistical approach to create a brand new data set.

While it’s possible to identify an individual with anonymized data or de-identified data by inferring characteristics, cross-referencing data similarities, or reversing the data approach, MDClone's synthetic data is the only anonymization method that fully prevents re-identification.

Synthetic data functionality is a feature of the MDClone ADAMS Platform. Connect with our team to see how it works within the ADAMS process.

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synthetic data makes it possible

Open the Door to Secure and Reliable Data Exploration

Synthetic data protects patient privacy while preserving maximum data utility so you can conduct faster research, positively impact operational processes, and ultimately improve patient outcomes while saving costs and resources.

 
 
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maximize your data utility

Because IRB approvals are no longer needed, your data can be leveraged instantly while teams save time and resources. Mediators, external IT teams, and data experts can now focus resources on other tasks rather than pulling data.

 
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protected patient privacy

With the patient privacy protected, healthcare professionals are given public access to data for clinical and scientific research, operational evaluation, process refinement, and improving patient outcomes.

 
 
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Empower Your Teams

Encourage innovation by empowering your teams—administrators, researchers, clinicians, and operational staff—to access the patient data they need in order to implement real change in their departments and across the organization.

 

THE MDCLONE ADAMS PLATFORM

Synthetic or Original Data Analysis

Based on permissions, the MDClone ADAMS Platform allows users to explore both original or synthetic versions of healthcare data. Data can be accessed instantly, analyzed freely, and explored dynamically with the click of a button.

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synthetic data analysis

+ Review project scope, hypotheses, and theories before turning to original data

+ Determine project feasibility before sharing cross-organizationally, externally, or for publication

+ Work freely and without barriers before deep-diving into in-depth data analysis and research

original data analysis

+ Switch from synthetic data to original data instantly

+ Utilize original data sets to validate your discoveries and publish findings

+ Publish results using original data

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the global network

Global Collaboration Made Possible

 

Move beyond your own four walls to collaborate with like-minded researchers, clinicians, and organizations worldwide by securely sharing information between entities with synthetic data.

Pool resources, populations, projects, and move forward together through the capabilities of the MDClone Platform and synthetic data.

DISCOVER THE GLOBAL NETWORK →

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synthetic data accuracy

Proven With Research


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Published by Rambam Health Care Campus

Analyzing Medical Research Results Based on Synthetic Data and Their Relation to Real Data Results: Systematic Comparison From Five Observational Studies

READ THE PAPER →

 

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Published by Washington University in St. Louis

Spot the Difference: Comparing Results of Analyses from Real Patient Data and Synthetic Derivatives

READ THE PAPER →

 
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"Having solutions that will allow us to liberate the data in a way, to work on the data without having to mind all the regulations, I think would be a big boost for innovation. I really believe that synthetic data is going to create a revolution, how we handle data."
DR. EYAL ZIMLICHMAN, Deputy Director General; CMO; CICO
 
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Synthetic data is the future of proactive patient care.