Methods, systems, and computer-readable media for automated evaluation of aseptic techniques of compounding in compounding hoods.
An automated system using sensors and machine learning evaluates aseptic techniques in compounding hoods, addressing the inadequacies of current methods by providing real-time feedback and reducing contamination risks.
Patent Information
- Application Number
- JP2025504825
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- Priority Date
- 2022-07-29
- Filing Date
- 2023-07-31
- Publication Date
- 2026-07-13
- Estimated Expiration
- 2043-07-31
AI Technical Summary
Existing methods for evaluating aseptic techniques in compounding hoods rely heavily on observation and culture medium filling tests, which are inadequate for ensuring employee competence, leading to a high risk of contaminated pharmaceutical products.
An automated system using sensors and machine learning to evaluate aseptic techniques by collecting data on object position, orientation, and movement within a compounding hood, identifying task stages, and detecting errors in real-time.
Provides accurate, real-time feedback on aseptic technique performance, reducing the risk of contamination and ensuring compliance with regulatory standards through continuous training and quality assurance.
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Abstract
Citation Information
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