Generate realistic digital twins for your patient records

Produce high-resolution, high-fidelity synthetic patient records that revolutionize health data science

Generate realistic digital twins for your patient records

Produce high-resolution, high-fidelity synthetic patient records that revolutionize health data science

Our differentiators

We can generate complete synthetic EHR datasets based on your entire EHR database (with over 20K feature variables and 100 visits per patient). Note that most existing solutions in the market can only produce a handful of variables for much smaller datasets. Their generation process is done on a small subset of your data, not your entire database. We utilize all your data in the model training and model generation process.
We can generate target datasets for specific conditions.
Our resulting synthetic data can be arbitrarily large and is not limited by the size of the real EHR data.
Our synthetic data are of high fidelity to support various statistical analyses and machine learning models.
We are integrated with OMOP and FHIR.

Problems of sharing patient data

Security, privacy and legal concerns

Difficulty in receiving sensitive data

Security, privacy and legal concerns

Due to the concern about patient privacy, data security, and legal constraint (e.g., HIPAA), sharing real patient data is extremely difficult.

Relevant data are rare

Difficulty in receiving sensitive data

Security, privacy and legal concerns

We often look for specific types of patient data, such as patients with certain conditions, which can be insufficient for building most machine learning models.

Difficulty in receiving sensitive data

Many companies or institutions find difficulty in receiving raw patient records with protected health information (PHI) due to legal constraints.

Existing approaches for sharing patient data

Data usage agreement (DUA)

Complicated and time-consuming to set up; many projects are delayed due to the DUA process with real patient data.

Data deidentification

Data usage agreement (DUA)

De-id process can be imperfect and subject to reidentification risk; Some data (e.g., clinical notes) are hard to de-identify.

Research networks

Require common data schema and cooperation/coordination across networks to conduct analysis. It is often infeasible to train models across institutions.

Synthetic data

Research networks

Secure and safe to share as the data are synthetic but data are often unrealistic to support real-world clinical and machine learning applications. Can we generate realistic synthetic patient data?

Generate realistic digital twins for your patient records

Generate realistic digital twins for your patient records

Our Solution

Our differentiators

Problems of sharing patient data

Security, privacy and legal concerns

Difficulty in receiving sensitive data

Security, privacy and legal concerns

Relevant data are rare

Difficulty in receiving sensitive data

Security, privacy and legal concerns

Difficulty in receiving sensitive data

Difficulty in receiving sensitive data

Difficulty in receiving sensitive data

Existing approaches for sharing patient data

Data usage agreement (DUA)

Data usage agreement (DUA)

Data usage agreement (DUA)

Data deidentification

Data usage agreement (DUA)

Data usage agreement (DUA)

Research networks

Research networks

Research networks

Synthetic data

Research networks

Research networks

Contact Us

Schedule a meeting with us

MediSyn inc

Email me for demo and solution presentation

Generate realistic digital twins for your patient records

Generate realistic digital twins for your patient records

Our Solution

Our differentiators

Problems of sharing patient data

Security, privacy and legal concerns

Difficulty in receiving sensitive data

Security, privacy and legal concerns

Relevant data are rare

Difficulty in receiving sensitive data

Security, privacy and legal concerns

Difficulty in receiving sensitive data

Difficulty in receiving sensitive data

Difficulty in receiving sensitive data

Existing approaches for sharing patient data

Data usage agreement (DUA)

Data usage agreement (DUA)

Data usage agreement (DUA)

Data deidentification

Data usage agreement (DUA)

Data usage agreement (DUA)

Research networks

Research networks

Research networks

Synthetic data

Research networks

Research networks

Contact Us

Schedule a meeting with us

MediSyn inc

Email me for demo and solution presentation

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