In some examples, a processor of a system evaluates a therapy program based on a score determined based on a volume of tissue expected to be activated (“VTA”) by therapy delivery according to the therapy program. The score may be determined using an efficacy map comprising a plurality of voxels that are each assigned a value. In some examples, the efficacy map is selected from a plurality of stored efficacy maps based on a patient condition, one or more patient symptoms, or both the patient condition and one or more patient symptoms. In addition, in some examples, voxels of the efficacy map are assigned respective values that are associated with a clinical rating scale.

A system, device, and wireless computer technology-implemented method for providing hearing healthcare education and communication for a patient, his/her communication partner, and a hearing care provider. The system provides the patient at least one educational and experiential module and a method for assessing the patient's comprehension of the module's lessons. The system further provides the patient with a method to select personal hearing aid and communication goals; a method to evaluate his/her progress on achieving each personal goal; and a method to report his/her hearing experiences. The system further provides a method to compare data reported by the patient to personalized thresholds. When one or more of the patient's reports do not meet the thresholds, the system sends automated alerts to the hearing care provider to encourage prompt remedial action and sends automated reminders to the patient to improve the patient's ability to achieve his/her personal goals.

The present system (10) comprises a subject interface (22), a segmenter (12), a loosener (14), sensors (18), and computer processors (28). The segmenter is configured to selectively control gas flow through the subject interface to provide high amplitude pressure oscillations (44) during exhalation such that the high amplitude pressure oscillations aid cough productivity in the subject. The loosener controls gas flow through the subject interface to provide low amplitude pressure oscillations (43, 63) during inhalation (48, 68) and exhalation (49) such that the low amplitude pressure oscillations loosen respiratory secretions. The computer processors detect trigger events based on the output signals such that the one or more trigger events include a loosening trigger event and a segmenting trigger event (66); and responsive to detecting the loosening trigger event, control the loosener to provide the low amplitude pressure oscillations, and, responsive to detecting the segmenting trigger event, control the segmenter to provide the high amplitude pressure oscillations.

Apparatus and methods are described for setting rehabilitation goals for a patient, measuring patient movements, storing the movement data for later transfer to a computer, displaying progress indicators and inspirational messages based on progress towards goals, reporting movement, skin temperature and swelling data to a caregiver so that they monitor compliance and be aware of potential infection. The invention consolidates data from motion, temperature and swelling sensors placed on the patient with data received directly from the patient in response to questions displayed on a tablet computer screen, to create one or more representative values indicating the patient's current status. These representative values may include the patient's degree of compliance with their prescribed exercise and icing regimen; their degree of wellness based on their self-reported pain scale and sensed temperature and limb swelling; and their current level of physical activity as detected by the motion sensors.

A healthcare self-management intervention system and method monitors, visualizes and rewards users for participating in activities related to the self-management of a medical condition, considering channels such as diet, exercise, medication, testing, scheduling/coaching, and shopping. It is a delivery system for treatment protocols which can monitor patient engagement with said protocols through a telehealth intervention system. A digital portal may be provided for analyzing and visualizing biometric data, presenting treatment protocols and educational materials, conducting remote teleconference meetings, sending data to and from remote locations in real-time to facilitate remote appointments and grade user progress towards or away from achievement of wellness goals. The system may then award the user with digital currency associated to the positive impact to the cost curve associated to a specific disease through the positive accumulation of data that demonstrates the patient is successfully engaged in their treatment and achieving standards which lead to goal achievement. These “Wellness” points are a digital currency which can then be exchanged for cash or used for self-management supplies through a mobile shopping system.

Provided according to embodiments of the invention pharmaceutical capsules that include a capsule body and a capsule cap, wherein the capsule cap envelops an open end of the capsule body to form a capsule core; and an adherence sheath that envelops a portion of the capsule core. Related capsules and methods of making such capsules are also provided herein.

The present invention provides a novel, comprehensive approach for the effective, safe and compassionate management of pain and opioid dependency, both in inpatient and outpatient settings, through the various stages of patient contact with the current healthcare system (e.g. initial encounter, treatment initiation, inpatient care, discharge, and post-discharge/chronic management) via innovative methods and treatment algorithms that provide consistent, repeatable and material advances in potential and high-risk, opioid-dependent patient management.

The present disclosure relates to cardiac health assessment system for use with a handheld electronic device for assessing cardiac health of a user and a method for assessing cardiac health of a user. The disclosure further relates to systems and methods for training a machine learning model to estimate intracardiac pressure data.

A system and method for patient-adaptive hemodynamic management is described. One embodiment includes a system for hemodynamic management including transfusion, volume resuscitation with intravenous fluids, and medications, utilizing monitored hemodynamic parameters including the described dynamic predictors of fluid responsiveness, and including an intelligent algorithm capable of adaptation of the function of the device to specific patients.

An automated EP analysis apparatus for monitoring, detecting and identifying changes (adverse or recovering) to a physiological system generating the analyzed EPs, wherein the apparatus is adapted to characterize and classify EPs and create alerts of changes (adverse or recovering) to the physiological systems generating the EPs if the acquired EP waveforms change significantly in latency, amplitude or morphology.