Invention:
The Artificially Intelligent Procedural Assessment Tool (AIPAT) is an advanced AI-driven system designed to evaluate healthcare professionals' performance of invasive medical procedures using recorded instructional videos. It utilizes deep learning techniques and machine learning algorithms to analyze instructional videos and apply standardized assessment criteria. AIPAT provides a scalable, objective, and time-efficient framework for assessing technical competence across a wide range of clinical skills, with demonstrated success in procedures like peripheral intravenous catheter (PIVC) placement. This invention can assess pre-insertion preparation, device insertion, and post-insertion care. This tool can be used to harness AI to carry out unbiased evaluation of task and procedural skills acquisition.
Background:
Currently, evaluating medical training procedures is time and resource-intensive, can place burden on faculty for observation and documentation, and can be limited by potential biases. Additionally, there is difficulty training AI to specifically analyze instructional videos to evaluate skills. These limitations pose challenges to clinical skill evaluation, especially in high-stakes environments like the ICU or OR. Unlike existing video-based checklists or peer review systems, AIPAT can be extended to assess numerous procedures, offering a transformative solution for modernizing medical education and credentialing.
Applications:
- Medical procedure assessment
- Medical education and training
- Machine learning for medical purposes
- Instructional video analysis
Advantages:
- Reduced costs
- Less time consuming
- Less burden on faculty
- Improvement on medical evaluation education
- Innovative medical assessment tool
- Improved skill evaluation
