Abstract: Methods and related systems and devices are described for performing various AR medical applications, including a method of guiding augmented reality (AR) intervention. In one aspect, a primary client device: receives model sets, an intervention plan having an intervention field, and session information about a session related to the AR intervention from a server; receives first real-time input data from a first input device; generates metrics by evaluating an execution of the intervention plan by comparing the intervention plan to the first real-time input data; displays real-time graphics, based at least in part on the metrics, spatially over the intervention field; receives real-time status data, from the server, about a replicate client device that joins the session; sends the first real-time input data, the metrics and the evaluation computed from the intervention plan, through the server, to the replicate client device.

Abstract: Methods and related systems and devices are described for performing various AR medical applications, including a method of guiding augmented reality (AR) intervention. In one aspect, a primary client device: receives model sets, an intervention plan having an intervention field, and session information about a session related to the AR intervention from a server; receives first real-time input data from a first input device; generates metrics by evaluating an execution of the intervention plan by comparing the intervention plan to the first real-time input data; displays real-time graphics, based at least in part on the metrics, spatially over the intervention field; receives real-time status data, from the server, about a replicate client device that joins the session; sends the first real-time input data, the metrics and the evaluation computed from the intervention plan, through the server, to the replicate client device.

Abstract: Methods and related systems and devices are described for performing various AR medical applications, including a method of guiding augmented reality (AR) intervention. In one aspect, a primary client device: receives model sets, an intervention plan having an intervention field, and session information about a session related to the AR intervention from a server; receives first real-time input data from a first input device; generates metrics by evaluating an execution of the intervention plan by comparing the intervention plan to the first real-time input data; displays real-time graphics, based at least in part on the metrics, spatially over the intervention field; receives real-time status data, from the server, about a replicate client device that joins the session; sends the first real-time input data, the metrics and the evaluation computed from the intervention plan, through the server, to the replicate client device.

Abstract: A system and method for providing and managing a remote patient monitoring (RPM) system. The method is implemented by a central server, an RPM client, and a networked monitoring device. The RPM client is a software program that is executed by a computing device that is connected to the server via a network. The networked monitoring device is implemented as a locator or a smart mobile cart. More specifically, the RPM system can provide a tele-monitor with the ability to remotely monitor multiple patients, control remote cameras, and address abnormal patient situations. The RPM system can enhance tele-monitor effectiveness by detecting patient motion and tracking tele-monitor alertness.

Abstract: Methods and related systems and devices are described for performing various AR medical applications, including a method of guiding augmented reality (AR) intervention. In one aspect, a primary client device: receives model sets, an intervention plan having an intervention field, and session information about a session related to the AR intervention from a server; receives first real-time input data from a first input device; generates metrics by evaluating an execution of the intervention plan by comparing the intervention plan to the first real-time input data; displays real-time graphics, based at least in part on the metrics, spatially over the intervention field; receives real-time status data, from the server, about a replicate client device that joins the session; sends the first real-time input data, the metrics and the evaluation computed from the intervention plan, through the server, to the replicate client device.