Maximize Collaboration with Synthetic Data
Maintain patient privacy and maximize data utility.
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.
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:
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Explore data independent of IRB process
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Access data instantly
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Explore data dynamically
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Maintain patient privacy
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Share data worldwide
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.
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.
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.
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
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.
