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Smart EMR Scanner

Our proposed solution is to create a smart electronic medical record (EMR) scanner that implements machine learning tools to display information with context specificity and to automatically risk-stratify patients for various diseases.


Our tool scans existing electronic medical records and data repositories to retrieve patient information.

Early Detection of Disease

Patient information is used directly from the system for the purpose of risk stratification. These calculations are performed automatically with no prompt required from the physician. 

Context Sensitivity

Machine learning tools are used to display medical information relevant to the specific context of the patient's visit. 

Clinical Decision Support System

Recommended management plans for patients are automatically generated given their risk score for a disease process. The recommendations are based on published best-practice guidelines.

Abstract Iceberg
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