Abstract: A medical system may include a patient system configured to determine a condition of a patient and deliver a neuromodulation therapy. The patient system may include a patient device having a user interface configured to enable patient interaction by the patient with the patient system. The patient system may include a triage system configured to select a triage tier from two or more triage tiers available for selection and indicative of a priority ranking for patient intervention. The triage system may be configured to use both the interaction and the condition to select the triage tier.

Abstract: Systems, devices, and methods for remote monitoring and managing of patients with chronic pain are discussed. A remote monitoring system comprises a cloud-computing device and a remote device. The cloud-computing device receives patient data including physiological or functional information sensed by sensors, and provides on-demand cloud-based services including establishing a correspondence between one or more physiological or functional states and one or more pain levels, detecting patient physiological or functional state, predicting a pain level, detecting a patient behavior, generating a recommendation for adjusting sensor operations based on the patient behavior, and storing patient data and other information in a cloud storage. The remote device can access the cloud storage and the cloud-based services, provide the stored information to an authorized user or the patient, control an implantable device to initiate or adjust a neuromodulation therapy, or adjust sensor operations.

Abstract: Systems, devices, and methods for remote monitoring and managing of patients with chronic pain are discussed. A remote monitoring system comprises one or more sensors to sense physiological or functional information from the patient, a cloud-computing device communicatively coupled to the one or more sensors, and a remote device. The cloud-computing device receives patient data including physiological or functional information, and provides on-demand cloud-based services including storing the received patient data in a cloud storage, detecting a patient behavior, and generating a sensor operation recommendation based on the detected patient behavior. The remote device can access the cloud storage and the cloud-based services, and adjust operations of the one or more sensors in accordance with the sensor operation recommendation.

Abstract: Systems and methods can coordinate information among multiple users associated with a neurostimulation device, via an artificial intelligence (AI) system and a conversational bot. An example method for configuring and operating the agent includes: obtaining neurostimulation device data associated with configuration and use of the neurostimulation device; providing the neurostimulation device data as a data source for the AI data processing system that includes a pre-trained large language model (LLM) and an agent to interact with the LLM; configuring the agent with conversation instructions to cause the agent to perform natural language conversations with respective human users based on the configuration and use of the neurostimulation device; and operating the agent to coordinate content of a first natural language conversation that occurs between the agent and a first human user with content of a second natural language conversation that occurs between the agent and a second human user.

Abstract: Various embodiments of the present subject matter use health-related information to improve the monitoring and treatment provided to remotely managed patient populations by generating patient states to simplify the triaging of patient conditions. In an example, the system can receive from a user via a user interface, criteria related to one or more goals to accomplish while receiving therapy to treat a condition. The system can translate, by at least one hardware processor, the criteria related to the one or more goals to a state-based classification defining a plurality of patient states defined by a plurality of parameters and receive a first set of parameter values. The system can further identify a first patient state from among the plurality of patient states using the first set of parameter values and generate an output including the first patient state.

Abstract: Various embodiments of the present subject matter use health-related information to improve the monitoring and treatment provided to remotely managed patient populations by generating patient states to simplify the triaging of patient conditions. In an example, the system can monitor and analyze data, and can include identifying a first patient state from among a plurality of patient states, the plurality of patient states being defined by a state-based goal classification; identifying a second patient state from the plurality of patient states; capturing a change in patient state; and providing a monitoring platform to monitor the change in the patient state. In further examples, adaptive measures can be implemented to account for missing or withheld patient-related data used to generate patient states.

Abstract: A medical system may include a patient system configured to determine a condition of a patient and deliver a neuromodulation therapy. The patient system may include a patient device having a user interface configured to enable patient interaction by the patient with the patient system. The patient system may include a triage system configured to select a triage tier from two or more triage tiers available for selection and indicative of a priority ranking for patient intervention. The triage system may be configured to use both the interaction and the condition to select the triage tier.

Abstract: Systems, devices, and methods for remote monitoring and managing of patients with chronic pain are discussed. A remote monitoring system comprises one or more sensors to sense physiological or functional information from the patient, a cloud-computing device communicatively coupled to the one or more sensors, and a remote device. The cloud-computing device receives patient data including physiological or functional information, and provides on-demand cloud-based services including storing the received patient data in a cloud storage, detecting a patient behavior, and generating a sensor operation recommendation based on the detected patient behavior. The remote device can access the cloud storage and the cloud-based services, and adjust operations of the one or more sensors in accordance with the sensor operation recommendation.

Abstract: Systems, devices, and methods for remote monitoring and managing of patients with chronic pain are discussed. A remote monitoring system comprises a cloud-computing device and a remote device. The cloud-computing device receives patient data including physiological or functional information sensed by sensors, and provides on-demand cloud-based services including establishing a correspondence between one or more physiological or functional states and one or more pain levels, detecting patient physiological or functional state, predicting a pain level, detecting a patient behavior, generating a recommendation for adjusting sensor operations based on the patient behavior, and storing patient data and other information in a cloud storage. The remote device can access the cloud storage and the cloud-based services, provide the stored information to an authorized user or the patient, control an implantable device to initiate or adjust a neuromodulation therapy, or adjust sensor operations.