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Fit for Purpose Assessments Software Module
The foundation of all Cornerstone modules is the multi-step Cornerstone generative AI algorithm that characterizes and evaluates clinical data at scale.
1. Connect a dataset and learn its structure and contents rapidly
Cornerstone AI maps and harmonizes clinical data, making it analysis-ready across formats and sources.
2. Transform the data
Cornerstone AI processes and validates data, enabling precise modeling and assessments.
3. Model and detect errors
Cornerstone AI detects and explains data errors, creating quality metrics.
Data Quality Assessment Browser
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Quality metrics at dataset, table, patient & field level
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Summarize patient counts across all attributes of data
Cohort Builder
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Accurately identify patients meeting inclusion and exclusion criteria at scale
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Leverage all aspects of the Cornerstone AI algorithm (i.e. mapping to ontology, data transformation & generation of quality metrics
- Achieve consistent, reliable quality checks within and across datasets
- Speed up data assessments from many weeks to hours
- Comprehensive characterization enables smarter decision-making
- Confirm that you are getting what you are buying
Applicable to new and existing data purchases
Example: Oncology gene mutation, quickly filter for key attributes of clinical interest - Become a leader in real world data quality
Dynamic quality report with ability to query data rapidly
A library of data assets
Objective and timely quality ratings - Unified, consistent quality framework for evaluation
Point and click with ease of use for different levels of users, including technical and non-technical
Achieve more with less technical manpower
Bring feedback to data sources to improve underlying data quality