Relocation module and methods for surgical equipment

An automated data consolidation system, the automated data consolidation system comprising:

• at least one digital camera configured to produce digital data, the at least one digital camera positionable in a known orientation relative to pertinent visual elements of a scene and to create a standardized scene;
• and
• processing circuitry in wired or wireless electrical communication with the at least one digital camera to automatically receive the digital data, the processing circuitry and software configured to:
• detect dose events or response events by matching a subject image of the digital data to known images of similar standardized scenes stored in an image library using at least one of machine learning (ML) and artificial intelligence (AI) analysis of the digital data to identify specific visual elements of an image of the digital data of the standardized scene;
• add time stamps or other indicators of time to the specific visual elements so that the digital data can be temporally correlated during subsequent big data or clinical decision support analysis;
• and
• automatically save information provided by the specific visual elements of the image or the image itself to an electronic record or database.

An automated data consolidation system, the automated data consolidation system comprising:

• at least one digital camera configured to produce and transmit digital data;
• and
• processing circuitry in communication with the at least one digital camera to automatically receive the digital data, the processing circuitry and software configured to:
• performing at least one of machine learning (ML) and artificial intelligence (AI) analysis to identify specific visual elements of an image of the digital data by matching a subject image of the digital data to known images stored in an image library, wherein the identified specific visual elements of the image constitute dose events or response events;
• add time indicia to each identified specific visual elements;
• and
• automatically save results of the analysis, the matched specific visual elements of the image, or the image itself to an electronic record or database;
• create a written note based on the matched specific visual elements;
• and
• save the written note in an electronic medical record.

An automated data consolidation system, the automated data consolidation system comprising:

• at least one digital camera configured to produce digital data;
• and
• processing circuitry in wired or wireless electrical communication with the digital camera to receive the digital data, wherein the digital data is automatically delivered to the processing circuitry and software, and wherein the processing circuitry and software is configured to:
• performing at least one of machine learning (ML) and artificial intelligence (AI) analysis to identify specific visual elements of an image of the digital data by matching a subject image of the digital data to known images stored in an image library, wherein the identified specific visual elements of the image constitute dose events or response events;
• add time stamps or other indicators of time to the identified specific visual elements so that the digital data can be temporally correlated during subsequent big data or clinical decision support analysis;
• automatically save information provided by the matched specific visual elements of the image or the image itself to an electronic record or database;
• and
• use the data, after being automatically saved and timestamped, for one or more of:
• AI and ML enabled clinical decision support (CDS) functions, AI and ML enabled remote monitoring and supervision functions, AI and ML enabled generative medical note writing and editing, AI and ML enabled “big data” analytics, AI and ML enabled controlled drug chain of custody monitoring, AI and ML enabled administrative and inventory functions, AI and ML enabled apps, AI and ML enabled quality assurance, and AI and ML enabled medical research.