Robotic medical system having human collaborative modes

The system according to any of the previous claims, wherein the robotic control system is configured to provide information to the patient in response to a patient query in at least one of the patient interactive mode and the autonomous mode.

The system according to any of the previous claims, wherein the robotic control system in autonomous mode is adapted to exchange analyzed data with, and to learn from, any number of other control systems.

The system according to any of the previous claims, wherein the controller is configured to be used in at least one of the modes for long-term patient monitoring in a health care setting.

The system according to any of the previous claims, wherein the controller is configured in the autonomous mode to instruct the at least one medical robot to perform any number of diagnostic procedures, comprising at least one of blood drawing, imaging studies, and vital sign acquisition.

The system according to any of the previous claims, wherein the controller in the autonomous mode is configured to instruct at least one of the medical robots to perform any number of therapeutic procedures, comprising at least one of prescribing or dispensing medication;

• providing written or oral instructions;
• and administering IV fluids.

The system according to any of the previous claims, wherein, if iterative sharing of the exchanged, analyzed data between the patient collaborative mode and the autonomous mode results in different output from iterative sharing of the exchanged, analyzed data between the doctor collaborative mode and the autonomous mode, comparison of output from the modes enables achievement of improved diagnostic accuracy.

The system according to any of the previous claims, wherein iterative operation of the controller uses artificial intelligence to reach at least one of the diagnosis and the treatment plan, and the patient instructions.

The system according to any of the previous claims, wherein the artificial intelligence comprises machine learning.

The system according to any of the previous claims, wherein the controller, based on the iterative operation, is configured to switch among the modes, and wherein the decision of at least one of whether to switch to a different mode, when to switch to a different mode, and which mode to switch to, is made by the system using at least collected patient data and artificial intelligence, such that diagnostic accuracy is improved.

The system according to any of the previous claims, wherein the instructions to the patient comprise any of:

• to fill a prescription, to take a prescription, to return for a scheduled follow-up visit, to carry out routine home care tasks, to contact a health care provider, to make an appointment, to allow a medical robot to carry out a test such as blood drawing, to transfer to a different department, or other instructions that are routinely provided to a patient by a human provider in a medical setting.

The system according to any of the previous claims, further comprising at least one user interface adapted to exchange the data between the controller and at least one of the patient and the health care provider.

The system according to any of the previous claims, wherein said data comprises any of the patient's current age, gender, height, weight, BMI, blood pressure, heart rate, blood laboratory test results, imaging study results, biopsy test results, a previous medical diagnosis, or the patient's past medical data.

The system according to any of the previous claims, wherein the analyzing of the data comprises at least one of computational statistics, data mining using exploratory data analysis, or data mining through unsupervised or supervised learning, the data being obtained from at least one of the patient, the health care provider, the patient's previous medical records, the at least one medical database, or previous learning by the robotic control system.

The system according to any of the previous claims, wherein the alternation among the modes is determined by the system obtaining maximum data/information from a given mode, whereupon it switches to a different mode, the controller beginning its operation in the patient collaborative mode, switching to the autonomous mode, and, if indicated, switching to the doctor collaborative mode.