ADAMS Copilot

Your AI-Powered Research Assistant

The ADAMS Copilot is an expert on statistical analysis techniques and can help you select the right statistical test, apply statistical approaches to your data, and visualize data in dynamic ways with simple chat requests.

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Gain Insights Faster Than Ever

The MDClone ADAMS Platform already provides a Powerful, Self-Service Healthcare Data Exploration Environment. Now ADAMS Copilot can assist with data preparation, visualization, and data mining insights. 

The Copilot works on your data behind your firewalls.  Copilot can examine original or synthetic data depending on what the user has access to.  This means you can keep your data protected whether you are focusing on an internal improvement effort or an external collaboration.

A True Dialogue With Data

ADAMS Copilot comes from the family of generative AI GPT tools that allow for instant, simple communication with a trained AI model. 

Exporting data files and manually manipulating datasets is a thing of the past.  Once a dataset of patients and events has been curated within the ADAMS platform, Copilot can be activated so you simply ask for what you need to see.  

Choose when and how you dialogue with your data.  Ask Adam for tricky things or work with the traditional analysis capabilities the powerful ADAMS Platform has to offer. Adam is there for you when you need help.

Want to know more on how ADAMS Copilot has the potential to further revolutionize tools? You can learn more here

What can Copilot Do?

Run summary statistics

Example: Show descriptive statistics in a table

Create visualizations

Example: Plot a column graph for physician by a surgery type

Group patients by a selected parameter

Example: Show me two groups – ages less than 60 and ages over 60

Data cleansing evaluations

Example: Remove duplicate measurement from the same day

Custom expressions

Example: Show ages from 55-80 with length of stay over 30 days

Organize data into temporal groups

Example: Map procedures to shifts – morning, day, evening

Detect trends

Example: How are A1C levels trending for patients on metformin vs. tirzepatide?

Find correlations between variables

Example: Is there a correlation between the death rate and MRA use in patients with heart failure with reduced ejection?

And so much more…

Ready to See Our Powerful Platform in Action?

Discover the power of dynamic data exploration at your fingertips and unlock the true potential of your healthcare data.