Exemplary embodiments are disclosed of systems and methods for monitoring for and lowering the risk of addiction-related or restriction violation-related behavior(s).

Device, system and method, for simplicity called Big Data 911™, which continuously sends GPS and other data to the cloud for storage and analysis, and Big Data automatically detects a vehicle crash and/or other emergency and immediately automatically calls 911 with crash information comprising the location, severity of the crash, etc. Victims, with their relevant medical records, are identified using onboard cameras and sensors or with medical information voluntarily linked via a phone app to the cloud. This medical data and GPS location ensures the optimum medical response during the crucial Golden Hour after the accident and that EMTs (Emergency Medical Technicians), police and other responders provide the optical medical treatment both en route to the hospital and once there. This includes AI or statistical information to expedite the ideal medical solution of the victim. This system could be used nationally or internationally as a person travels worldwide.

A system comprising processing circuitry configured to receive a wirelessly-transmitted message from a medical device, the message indicating that the medical device detected an acute health event of the patient. In response to the message, the processing circuitry is configured to determine a location of the patient, determine an alert area based on the location of the patient, and control transmission of an alert of the acute heath event of the patient to any one or more computing devices of one or more potential responders within the alert area.

Cognitive and mood states of a real world person are assessed according to activity in a virtual world environment with which the person interacts. The virtual world is configured to provide interactive experiences for assessing the person's cognitive and/or mood states. The system requires configuration of a session avatar during each virtual world session to provide then-current insight into the person's mood state. The system may require configuration of an avatar reflective of the person's state. The system requires the person to configure the virtual world environment during each virtual session to provide then-current insight into the person's mood state. The system permits the user to visit destinations, perform tasks and play games that are included in the environment for the purpose of providing insight into the person's cognitive and/or mood states according to the person's selections and/or performance.

An integrated headset communications system is presented. The system includes a curved headband. The system also includes a left-hand side headphone. The system further includes a right-hand side headphone. The system includes external speakers on right-hand side and left-hand side headphones. The system also includes internal speakers on right-hand side and left-hand side headphones. The system further includes two detachable rechargeable battery packs. The system includes a background noise cancellation mechanism. The system also includes a plurality of proximity sensors positioned on the system. The system further includes an automatic volume control safety module. The system includes a plurality of photocells positioned externally on the curved headband. The system also includes a plurality of flashlights and flashing lights positioned externally on the curved headband. The system also includes a data processor. The system further includes a removable system remote controller.

Disclosed herein are implementations of a method and apparatus for stroke self-detection. The method and apparatus may include a mobile platform for stroke detection. The method may include receiving sensor data. The method may include comparing the sensor data with a baseline test result to determine a test score. The method may include determining a passing test result based on a threshold. The method may include transmitting the results or an alert to one or more of an emergency contact, emergency medical services, a physician, or a telemedicine provider.

Provided herein are systems, methods, and computer program products for use in detecting and responding to patient neuromorbidity. The method includes receiving patient cohort data from an electronic health record system and identifying features of the patient cohort data using a feature selection evaluating parameter. The method also includes training, using the features, a patient classification model configured to classify patients according to neuromorbidity risk. The method further includes receiving a patient dataset associated with a patient and generating, by inputting the patient dataset into the patient classification model, a patient classification of the patient comprising a probability of the patient developing a neuromorbidity over a time period. The method further includes, in response to the probability of the patient developing a neuromorbidity satisfying a predetermined threshold, transmitting an alert to a computing device associated with a physician, a nurse, and/or an advanced practice provider of deteriorating brain health.

A user, such as an elderly person, may be assisted by an assistance device in his or her caregiving environment that operates in conjunction with one or more server computers. The assistance device may execute a schedule of assistance actions where each assistance action is associated with a time and is executed at that time to assist the user. An assistance action may present an input request to a user, process a voice input of the user, and analyze the voice input to determine that the voice input corresponds to a negative response event, a positive response event, or a non-response event. Based on the categorization of one or more voice inputs as negative response events, positive response events, or non-response events, it may be determined to notify a caregiver of the user, for example where the user has not responded to a number of assistance actions.

In embodiments, a wearable medical system (WMS) for an ambulatory patient, which can be a wearable cardioverter defibrillator (WCD) system, analyzes the patient's ECG signal to generate a detection outcome. The WMS also has an ambulatory user interface that outputs a human-visible indication. A programming device, such as a PC, a tablet, etc., establishes a communication link with the WMS during an in-person session with the patient. The programming device may include a programming screen that reproduces the human-visible indication in real time. An advantage can be that the person programming the WMS need not strain to look also at the ambulatory user interface at the time they are looking at the programming device. Another advantage can be that the patient will recognize that he or she is better protected, and have their confidence in the WMS increased, and therefore better comply with wearing the WMS as required.

A system and method for evaluating and reporting of trauma to organs of passengers in a vehicular crash in real time is provided. The systems and methods include and use one or more in-vehicle sensors, a processor, a server, and one or more non-transitory computer-readable media to analyze a crash and trauma to passengers. The systems and methods may be further configured to optimize operation of a vehicle to minimize trauma.