Automated root cause analysis for medical procedures and robotic surgery program optimization

A method, comprising:

• determining multimodal data, the multimodal data comprises two or more of three-dimensional point cloud data, video data, robotic system data, instrument data, or metadata for at least one medical procedure;
• determining at least one indication using the multimodal data, wherein the at least one indication comprises at least one of:
• one or more metric values;
• or
• statistical information;
• identifying at least one potential cause of efficiency or inefficiency for the at least one indication using a mapping between a plurality of potential causes and a plurality of indications;
• and
• causing a display device to display a message comprising the at least one potential cause.

A system, comprising:

• one or more processors, coupled with memory, to:
• determine a dataset of information of a plurality of the first medical procedures in a plurality of first medical environments, wherein the dataset comprises:
• metadata of the plurality of the first medical procedures and the plurality of first medical environments;
• a timeline of a plurality of phases and a plurality of tasks within each of the plurality of phases determined for the plurality of the first medical procedures;
• and
• three-dimensional point cloud data for the plurality of the first medical procedures and the plurality of first medical environments during at least portions of the plurality of phases and the plurality of tasks within each of the phases;
• determine a mapping among data within the dataset;
• receive a first attribute of at least one second medical procedure or at least one second medical environment;
• and
• determine, using the mapping and first attribute, a second attribute of the at least one second medical procedure and the at least one second medical environment.