Abstract: Systems, methods, and other embodiments relate to automated healthcare for patients in distributed locations. In at least one approach, a method includes receiving patient information, including at least a location of a patient and health information about the patient that is to be treated. The method includes dispatching at least one rescue robot to the location that will treat the patient. The method includes responsive to the at least one rescue robot arriving at the patient, performing, by the at least one rescue robot, therapeutic delivery on the patient according to a treatment plan as identified by the health information.

Abstract: System, methods, and other embodiments described herein relate to autonomous configuration of a multifunction robot for healthcare-related tasks. In one embodiment, a method includes, responsive to receiving, in the multifunction robot, selection data that identifies a treatment plan for a patient, analyzing the selection data to identify one or more task modules for carrying out the treatment plan. The method includes determining a module layout for the multifunction robot according to the task modules for carrying out the treatment plan. The method includes configuring the robot with at least one of the task modules according to the module layout.

Abstract: Systems, methods, and other embodiments relate to autonomous screening and diagnosis using a screening robot. In at least one approach, a method includes generating, using a learning model, a diagnosis for a patient according to health information acquired from at least the screening robot. The health information including sensor data about the patient and perceptions derived from the sensor data. The method includes, responsive to determining that the diagnosis is incomplete, generating a request for additional information and updating the diagnosis according to the additional information. The method includes providing the diagnosis to facilitate treatment of the patient.

Abstract: System, methods, and other embodiments described herein relate to autonomous assessment and treatment of a patient. In one embodiment, a method includes, responsive to acquiring, in a managing device, sensor data characterizing a condition of the patient, determining a diagnosis for the condition according to a correlation of the sensor data with a subset of markers. The method includes selecting, using a treatment model, a treatment algorithm from a set of treatment algorithms for performing therapeutic delivery using a robotic device. The method includes causing the robotic device to perform the therapeutic delivery according to the treatment algorithm selected by the treatment model.

Abstract: Systems, methods, and other embodiments relate to automated healthcare for patients in distributed locations. In at least one approach, a method includes receiving patient information, including at least a location of a patient and health information about the patient that is to be treated. The method includes dispatching at least one rescue robot to the location that will treat the patient. The method includes responsive to the at least one rescue robot arriving at the patient, performing, by the at least one rescue robot, therapeutic delivery on the patient according to a treatment plan as identified by the health information.

Abstract: Systems, methods, and other embodiments relate to autonomous screening and diagnosis using a screening robot. In at least one approach, a method includes generating, using a learning model, a diagnosis for a patient according to health information acquired from at least the screening robot. The health information including sensor data about the patient and perceptions derived from the sensor data. The method includes, responsive to determining that the diagnosis is incomplete, generating a request for additional information and updating the diagnosis according to the additional information. The method includes providing the diagnosis to facilitate treatment of the patient.

Abstract: System, methods, and other embodiments described herein relate to autonomous configuration of a multifunction robot for healthcare-related tasks. In one embodiment, a method includes, responsive to receiving, in the multifunction robot, selection data that identifies a treatment plan for a patient, analyzing the selection data to identify one or more task modules for carrying out the treatment plan. The method includes determining a module layout for the multifunction robot according to the task modules for carrying out the treatment plan. The method includes configuring the robot with at least one of the task modules according to the module layout.

Abstract: System, methods, and other embodiments described herein relate to autonomous assessment and treatment of a patient. In one embodiment, a method includes, responsive to acquiring, in a managing device, sensor data characterizing a condition of the patient, determining a diagnosis for the condition according to a correlation of the sensor data with a subset of markers. The method includes selecting, using a treatment model, a treatment algorithm from a set of treatment algorithms for performing therapeutic delivery using a robotic device. The method includes causing the robotic device to perform the therapeutic delivery according to the treatment algorithm selected by the treatment model.