Introducing The Next BIG Thing in Outcome Improvement

MagView Learning Worklist

Radiologist Outcome Improvement Tools

MagView provides many quality assurance tools to help radiologists and groups understand their performance based on medical self audit. Periodically auditing outcome measures can link practice patterns to patient outcomes in a way that can influence the interpreting physician's behavior and performance in a positive way. However, several challenges can limit this process. It is often difficult for the radiologist to frequently review outcome measures, and observe them changing in response to changes in practice patterns. It is also sometimes difficult to understand each of the measures, and what corrective action should be associated with which under performing measures. The MagView Learning Worklist overcomes these challenges by providing the radiologist with real time access to relevant cases that they can learn from.

The MagView Learning Worklist feature provides each radiologist with a worklist of their own screening and diagnostic positive cases which have recently been followed-up, and where the outcome is now known based on a diagnostic exam or biopsy result. The radiologist can review the initial imaging and report, then review the subsequent imaging or pathology result to critique the false positive or reinforce the true positive case. 

 
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solution

The MagView Learning Worklist provides the radiologist with a source of continuous feedback from which they can improve their confidence when calling patients back, or deciding not to call back. Using these tools over an extended time can help the radiologist improve their sensitivity, positive predictive value, and lower their recall rate if it is too high.

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Learning Modes

benefits

  • Improve patient outcomes
  • Increase radiologist confidence
  • Share feature allows radiologists to optionally review other cases from the group
  • Blind review feature allows radiologists to predict, and then review the outcome
  • Optional integration with ACR RadPeer

True Positive Callbacks - Allows the radiologist to review screening cases assessed BI-RADS category 0 after a diagnostic exam has recommended a biopsy, and after the biopsy has been performed.

False Positive Callbacks - Allows the radiologist to review screening cases assessed BI-RADS category 0 after a diagnostic exam has resulted in a BI-RADS 2 assessment.

True Positive Biopsy Recommendations - Allows the radiologist to review cases where a biopsy has been recommended, after a positive pathology report has been received.

False Positive Biopsy Recommendations - Allows the radiologist to review cases where a biopsy has been recommended, after a negative pathology report has been received.

False Negatives - Allows the radiologist to review cases where an interval cancer has been diagnosed following negative imaging.

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