SYSTEMS AND METHODS FOR PROVIDING DIGITAL HEALTH SERVICES
The present disclosure is directed to providing digital health services. In some embodiments, systems and methods for conducting virtual or remote sessions between patients and clinicians are disclosed. During the sessions, media content (e.g., images, video content, audio content, etc.) may be captured as the patient performs one or more tasks. The media content may be presented to the clinician and used to evaluate a condition of the patient or a state of the condition, adjust treatment parameters, provide therapy, or other operations to treat the patient. The analysis of the media content may be aided by one or more machine learning/artificial intelligence models that analyze various aspects of the media content, augment the media content, or other functionality to aid in the treatment of the patient.
1 . A method of remotely programming an implantable medical device that provides therapy to a patient, comprising:
establishing a first communication between a patient controller (PC) device and the implantable medical device, wherein the implantable medical device provides therapy to the patient according to one or more programmable parameters, the PC device communicates signals to the implantable medical device to set or modify the one or more programmable parameters, and the PC device comprises a video camera;
establishing a video connection between the PC device and a clinician programmer (CP) device of a clinician for a remote programming session in a second communication that includes an audio/video (NV) session;
communicating a value for a respective programmable parameter of the medical device from the CP device to the PC device during the remote programming session; and
modifying, by the PC device, the respective programming parameter of the medical device according to the communicated value from the CP device during the remote programming session;
wherein the method further comprises:
automatically analyzing, by one or more processors, video data of the patient from the A/V session to calculate one or more metrics related to a neurological condition of the patient;
providing one or more instructions to the patient by the PC device to guide patient positioning or movement during the A/V session to optimize video quality for the automatically analyzing; and
overlaying video of the patient with one or more graphical user interface (GUI) elements for display on the CP device to indicate a quantity or level of the one or more metrics related to the neurological condition of the patient during the remote programming session.
2 . The method of claim 1 further comprising:
displaying one or more graphical components related to one or more anatomical landmarks of the patient in video presented to the patient by the PC device.
3 . The method of claim 2 further comprising:
providing one or more status GUI components for the one or more graphical components to indicate whether a respective anatomical landmark of the patient should be moved or is in a proper position.
4 . The method of claim 2 wherein at least one anatomical landmark is selected from the list consisting of: a hand of the patient, a limb of the patient, a torso of the patient, and a head of the patient.
5 . The method of claim 3 wherein the one or more status GUI component comprise one or more directional graphical elements indicated desired movement to the patient.
6 . The method of claim 1 wherein the CP device is programmed to receive input from the clinician to select from a plurality of kinematic graphical components for display during the remote programming session to the clinician.
7 . The method of claim 6 wherein the PC device displays to the patient a same set of selected kinematics graphical components corresponding to the input received from the clinician to selected from the plurality of kinematic graphical components.
8 . The method of claim 1 wherein the neurological condition of the patient is related to a motor disorder of the patient.
9 . The method of claim 1 wherein the neurological condition of the patient is related to chronic pain of the patient.
10 . The method of claim 1 wherein the one or more GUI elements are superimposed over or surrounding bodily regions automatically analyzed for patient movement.
11 . The method of claim 1 wherein the one or more GUI elements are indicative of tremor of the patient.
12 . The method of claim 1 wherein the one or more GUI elements are indicative of rigidity of the patient.
13 . The method of claim 1 wherein the one or more GUI elements are modified according to an artificial intelligence (AI) classification of patient movement.
14 . The method of claim 1 wherein the one or more GUI elements are modified according to an artificial intelligence (AI) quantification of patient movement.
15 . The method of claim 1 wherein the automatically analyzing comprises applying patient movement data to a trained neural network.