18374450. ASSESSING OPERATOR BEHAVIOR DURING A MEDICAL PROCEDURE simplified abstract (KONINKLIJKE PHILIPS N.V.)
Contents
ASSESSING OPERATOR BEHAVIOR DURING A MEDICAL PROCEDURE
Organization Name
Inventor(s)
Sean Joseph Kyne of Brookline MA (US)
Ayushi Sinha of Baltimore MD (US)
Ramon Quido Erkamp of Swampscott MA (US)
Javad Fotouhi of Cambridge MA (US)
Leili Salehi of Waltham MA (US)
Vipul Shrihari Pai Raikar of Somerville MA (US)
ASSESSING OPERATOR BEHAVIOR DURING A MEDICAL PROCEDURE - A simplified explanation of the abstract
This abstract first appeared for US patent application 18374450 titled 'ASSESSING OPERATOR BEHAVIOR DURING A MEDICAL PROCEDURE
Simplified Explanation
The computer-implemented method described in the abstract involves assessing operator behavior during a medical procedure using medical equipment. Here is a simplified explanation of the abstract:
- Receiving operator interaction data during a medical procedure
- Inputting the data into a machine-learning model
- Outputting a characteristic of the operator behavior based on the model's analysis
Potential Applications: This technology could be applied in various medical settings to monitor and evaluate operator behavior during procedures, ensuring optimal performance and patient safety.
Problems Solved: This technology addresses the need for real-time assessment of operator behavior during medical procedures, helping to identify any issues or areas for improvement.
Benefits: The method provides valuable insights into operator behavior, allowing for targeted training and feedback to enhance performance and patient outcomes.
Potential Commercial Applications: This technology could be utilized by medical institutions, training facilities, and equipment manufacturers to improve operator skills, reduce errors, and enhance overall procedural efficiency.
Possible Prior Art: One possible prior art could be systems that track operator interactions with equipment during procedures, but the use of machine learning to analyze and assess behavior may be a novel aspect of this technology.
Unanswered Questions: 1. How does the machine-learning model differentiate between different types of operator behavior? 2. Are there any privacy or data security concerns associated with collecting and analyzing operator interaction data during medical procedures?
Original Abstract Submitted
A computer-implemented method of assessing operator behavior during a medical procedure involving medical equipment, is provided. The method includes: receiving operator interaction data representing operator interactions with the medical equipment during the medical procedure; inputting the operator interaction data into a machine-learning model; and outputting a characteristic of the operator behavior based on a position of a latent space encoding of the operator interaction data generated by the machine-learning model, with respect to a distribution of latent space encodings of training data representing operator interactions with the medical equipment having known characteristics of the operator behavior.
