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 (A/V) 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:
receiving input from the patient by the PC device to control the A/V session by applying one or more selected A/V controls, wherein the one or more A/V controls comprise at least one A/V control to anonymize at least one bodily region of the patient; and
automatically modifying video of the patient for the A/V session to anonymize the at least one bodily region of the patient.
2 . The method of claim 2 wherein the at least one PC device is programmed to receive input from the patient to anonymize a face of the patient in video presented to the clinician.
3 . The method of claim 2 wherein the at least one PC device is programmed to receive input from the patient to anonymize background objects of the patient in video presented to the clinician.
4 . The method of claim 1 wherein video data of the patient during the A/V session includes replacement of video data of the patient in the bodily region with calculated anatomical features.
5 . The method of claim 4 wherein the calculated anatomical features include geometric elements that track patient movement.
6 . The method of claim 5 wherein the geometric elements track movement of at least one limb or extremity of the patient.
7 . The method of claim 5 wherein the geometric elements track movement of a torso of the patient.
8 . The method of claim 5 wherein the geometric elements track movement of a head of the patient.
9 . The method of claim 1 wherein A/V data is provided to a trained neural network to analyze or classify a neurological condition of the patient.
10 . The method of claim 9 wherein the neurological condition of the patient is related to a motor disorder of the patient.
11 . The method of claim 9 wherein the neurological condition of the patient is related to chronic pain of the patient.
12 . The method of claim 1 further comprising providing one or more GUI elements to display data related to a level or classification of the neurological condition.
13 . The method of claim 12 wherein the one or more GUI elements are superimposed over or surrounding bodily regions automatically analyzed for patient movement.
14 . The method of claim 13 wherein the one or more GUI elements are indicative of tremor of the patient.
15 . The method of claim 13 wherein the one or more GUI elements are indicative of rigidity of the patient.
16 . The method of claim 12 wherein the one or more GUI elements are modified according to an artificial intelligence (AI) classification of patient movement.
17 . The method of claim 12 wherein the one or more GUI elements are modified according to an artificial intelligence (AI) quantification of patient movement.
18 . The method of claim 1 wherein the PC device is programmed to provide one or more pop-up windows to receive patient input to control the A/V session.