Our Tools
MergeOO
MergeOO is an innovative data-matching algorithm designed specifically for Patient Level Data (PLD) sources. Unlike tokenization methods that rely on personal identifiable information (PII), MergeOO leverages the rarity of coincidental matches across multiple healthcare interactions from different data sources. By calculating the extremely low probability of random matches between patient IDs, MergeOO achieves highly accurate patient identification and data merging. MergeOO's ability to work with PLD sources makes it a reliable and efficient solution for data integration in pharmaceutical research and development.
Data X-ray
Data X-ray is an innovative data evaluation tool that leverages the power of ChatGPT to simplify the complex process of assessing data sources. By analyzing a data sample, the data dictionary, and the complete dataset, Data X-Ray generates a comprehensive evaluation that addresses four critical questions:
1. What is this data source about?
2. Is this data source reliable?
3. Can it help achieve your specific business objectives?
4. Are there any caveats you need to be aware of?
This automated tool saves time and resources by efficiently providing invaluable insights into data accuracy, stability, representativeness, granularity, and timeliness, that enable informed strategic decisions about data sources. With Data X-Ray, companies can unlock the full potential of their data, ensuring that their analysis is based on reliable and trustworthy information, ultimately leading to better decision-making and outcomes.
Click any of the buttons below to see Data X-ray in action.
Drug Discontinuation Predictor
The Drug Discontinuation Predictor estimates when a patient is likely to stop taking their prescribed medication. By leveraging Bayesian reasoning and analyzing various pieces of evidence, such as treatment status and prescription fill timing, the tool calculates the probability of discontinuation. This valuable insight allows pharmaceutical companies to take proactive measures to prevent patients from stopping their medication due to medical, financial, or negligence reasons. By intervening before a patient discontinues their treatment, companies can improve patient outcomes, maintain customer loyalty, and ultimately boost drug sales. The tool's performance is evaluated using a confusion matrix and the F1 score, ensuring its accuracy and reliability.