Automated provision of real-time custom procedural surgical guidance

A computer implemented method comprising:

• accessing, by one or more data processors, a surgical data structure that includes a dimension associated with a plurality of discrete procedural states for a surgical procedure, wherein the surgical data structure includes:
• a plurality of nodes, each of the plurality of nodes being associated with one of the plurality of discrete procedural states for the surgical procedure and with a set of procedural metadata;
• and
• a plurality of edges, each of the plurality of edges connecting two nodes of the plurality of nodes, wherein each edge includes a weight associated with a preferred surgical route;
• receiving, by the one or more data processors, live surgical data for the surgical procedure, the live surgical data having been collected by a plurality of devices in a network involved in performance of the surgical procedure;
• detecting, by the one or more data processors, a component from the live surgical data;
• determining a current node from the plurality of nodes of the surgical data structure based on the component from the live surgical data, wherein the component associated with the current node is determined by processing the live surgical data using machine learning;
• retrieving, by the one or more data processors, from the surgical data structure, a first set of procedural metadata associated with the current node, wherein the first set of procedural metadata includes information corresponding to a patient state that identifies an attribute of a patient at the procedural state associated with the current node;
• selecting, by the one or more data processors, an edge from among a set of edges based on the weights associated with the set of edges, wherein each edge of the set of edges connects the current node to a corresponding next node;
• retrieving, by the one or more data processors, from the surgical data structure, a second set of procedural metadata associated with the selected edge, wherein the second set of procedural metadata includes information corresponding to a procedural action to be taken to transition from the procedural state associated with the current node to a new procedural state associated with the corresponding next node to which the edge is connected;
• identifying, by the one or more data processors, based in part on at least one of the first set of procedural metadata and the second set of procedural metadata, a target device, from the plurality of devices of the network, to receive a guidance communication;
• preparing, by the one or more data processors, the guidance communication to include at least part of the second set of procedural metadata, wherein a quantity of procedural information included in the guidance communication is determined based on a type of user associated with the target device, the type of user indicating a type of involvement in the surgical procedure;
• transmitting, by the one or more data processors, the guidance communication to the target device;
• and
• facilitating, by the one or more processors, presentation of the guidance communication by the target device.