International business machines corporation (20240161909). ASSESSING MEDICAL PROCEDURES FOR COMPLETENESS BASED ON MACHINE LEARNING simplified abstract

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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 20240161909 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 a medical procedure.

  • Input data received for a patient undergoing a medical procedure
  • Determine a list of predicted user actions to be performed during the procedure
  • Compare actual user actions to predicted actions to identify deviations
  • Alert the user to any deviations in the medical procedure

Potential Applications

This technology could be applied in various medical settings to ensure that procedures are carried out accurately and completely.

Problems Solved

This technology helps to identify any deviations or errors in medical procedures, allowing for prompt correction and improved patient outcomes.

Benefits

- Increased accuracy and completeness of medical procedures - Enhanced patient safety and quality of care - Real-time monitoring and feedback for healthcare providers

Potential Commercial Applications

"Improving Medical Procedure Completeness: Applications in Healthcare Settings"

Possible Prior Art

There may be prior art related to monitoring and assessing medical procedures for completeness, but specific examples are not provided in this context.

What are the potential limitations of this technology in real-world medical settings?

In real-world medical settings, there may be challenges in integrating this technology seamlessly into existing workflows and systems. Healthcare providers may also require training to effectively use and interpret the alerts provided by the system.

How does this technology address patient privacy and data security concerns?

This technology would need to comply with relevant regulations and standards to ensure patient data privacy and security. Measures such as encryption, access controls, and data anonymization may be implemented to protect patient information.


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.