Clean Real World Data 5x Faster
The Cornerstone AI assistant is purpose-built to clean RWD. Its proprietary machine learning models automatically generate unique, clinically relevant data cleaning rules for every dataset.
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Healthcare Data is Messy
We all know it. Datasets are often riddled with errors, inconsistencies, and missing values. This requires data science teams to spend countless hours cleaning data and getting necessary clinical input before any insights can be generated.
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Data prep takes too long
The traditional system of handcrafted data review is not keeping up with the rapid growth of healthcare data. Teams spend months adapting predefined rules to new pipelines, needing significant customization for each dataset. The data cleaning process becomes the rate limiting step for analysis.
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Data issues are everywhere
Despite the potential of big data, time constraints force cleaning of only the most important variables, leaving a long tail of unclean and unused data. This limits the potential power of AI/ML to generate new insights in healthcare.
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More data, more problems
The promise of Real World Data (RWD) in healthcare is that organizations are able to leverage increasing amounts of data to understand specific patient populations. But more data typically means more data problems and predefined rule-based cleaning processes don’t scale well.
Improve Real World Data with Cornerstone AI
In a project with a healthcare company, Cornerstone significantly improved the quality of a real-world dataset, producing tangible results and enhanced data usability.
A Full Featured Data Cleaning Platform
Video describes the problems real world data teams are facing and how the Cornerstone AI assistant is able to help teams scale their real world data analysis.
Cornerstone is a self-learning AI assistant for cleaning and preparing healthcare data, including automated data profiling, data cleaning and data integrity features.
Data Profiling
Automatic Structure Detection
Multi-Source Harmonization
Data Quality Score
Data Cleaning
Error Identification & Correction
Text & Code Standardization
Missing Data Imputation
Data Integrity
HIPAA Compliance
Audit Trail
On Prem & Cornerstone Hosted Options
Get better data, faster.
Let’s chat about how Cornerstone AI can help your team reach its data goals.
What makes us different
The Cornerstone system leverages state-of-the-art AI techniques to automatically detect data schemas, identify errors and augment clinical terminology to make your RWD dataset as accurate and complete as possible. It doesn’t use fixed rules or manual coding, so it’s ready out of the box for your unique data. No manual configuration needed.
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It’s as simple as importing your dataset files and specifying a patient ID. From there, we automatically detect table structure, data types and field relationships.
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We don’t use any SQL rules or manual transformations to analyze the structure of your dataset or detect errors. Our algorithms develop models for every table, field, and data point to identify outliers and flag errors.
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We standardize to industry dictionaries (e.g., ICD-10-CM, CPT), impute lab units, and augment medical terminology with hierarchical information to enable you to gain deeper insights.
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Every change to your dataset is tracked in an exportable audit log, and your cleaned dataset can be easily exported for modeling and analysis.
Try the product for yourself.
What people are saying about Cornerstone AI