17984566. ASSESSING MEDICAL PROCEDURES FOR COMPLETENESS BASED ON MACHINE LEARNING simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)

ASSESSING MEDICAL PROCEDURES FOR COMPLETENESS BASED ON MACHINE LEARNING

Organization Name

INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor(s)

Giovanni John Jacques Palma of Velizy Villacoublay (FR)

Sun Young Park of San Diego CA (US)

Dustin Michael Sargent of San Diego CA (US)

ASSESSING MEDICAL PROCEDURES FOR COMPLETENESS BASED ON MACHINE LEARNING - A simplified explanation of the abstract

This abstract first appeared for US patent application 17984566 titled 'ASSESSING MEDICAL PROCEDURES FOR COMPLETENESS BASED ON MACHINE LEARNING

Simplified Explanation

The present invention assesses medical procedures for completeness by comparing predicted user actions to actual user actions during the procedure.

• Input data received for a patient undergoing a medical procedure
• Determination of predicted user actions to be performed during the procedure
• Comparison of actual user actions to predicted actions to identify deviations
• Alerting the user to any deviations in the medical procedure

Potential Applications

This technology could be applied in various medical settings to ensure the accuracy and completeness of procedures, ultimately improving patient outcomes.

Problems Solved

- Ensuring the completeness of medical procedures - Reducing the risk of errors or omissions during procedures

Benefits

- Increased accuracy in medical procedures - Enhanced patient safety and outcomes - Real-time monitoring and feedback for healthcare providers

Potential Commercial Applications

Optimizing medical procedures in hospitals, clinics, surgical centers, and other healthcare facilities to improve efficiency and patient care.

Possible Prior Art

One possible prior art could be systems or methods that track user actions during medical procedures, but the specific comparison to predicted actions for completeness assessment may be a novel aspect of this invention.

How does this technology handle variations in user actions that may still result in successful completion of the procedure?

The technology may need to account for acceptable deviations or alternative methods that achieve the same outcome.

What measures are in place to ensure the accuracy and reliability of the predicted user actions?

There may be validation processes or algorithms to verify the accuracy of the predicted actions before comparison with actual user actions.

Original Abstract Submitted

A present invention embodiment assesses medical procedures for completeness. Input data is received corresponding to a patient having a medical procedure. A plurality of predicted user actions to be performed during the medical procedure are determined. A plurality of actual user actions performed during the medical procedure are compared to the plurality of predicted user actions to identify one or more deviations in the medical procedure. A user is alerted to the one or more deviations.