No Missed Malignancy (NMM)
Description
Enhance clinical decision support capabilities and provide information not easily obtained through existing systems so that abnormal radiology findings are acted upon promptly—reducing risk of delayed cancer diagnoses and aligning with federal standards for patient safety and clinical accountability. The model has been successfully deployed to production.
Detailed example
PowerBI report
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
By summarizing pending and processed alerts and expanding support to additional stations, this solution can increase efficiency and provide clinicians with critical information not easily accessible through existing CPRS/VistA systems
Controls / human review
ATO: Not reported; PIA: Not published