Infusion systems, infusion devices, and related patient monitoring systems and methods are provided. A method of monitoring a physiological condition of a patient involves providing, on a display device, a graphical user interface display depicting forecast values with respect to different time periods in the future and including graphical user interface elements to allow a user to adjust a characteristic of an event likely influence the physiological condition of the patient at a respective time period. In response to an adjustment to a graphical user interface element, the method continues by dynamically updating the forecast values on the graphical user interface display using a forecasting model associated with the patient.

An example system for therapy delivery includes one or more processors configured to in response to a prediction indicating that the meal event is to occur, output instructions to an insulin delivery device to deliver a partial therapy dosage, to a device to notify the patient to use the insulin delivery device to take the partial therapy dosage, or to the insulin delivery device to prepare the partial therapy dosage prior to the meal event occurring, and in response to a determination indicating that the meal event is occurring (e.g., based on movement characteristics of a patient arm), output instructions to the insulin delivery device to deliver a remaining therapy dosage, to the device to notify the patient to use the insulin delivery device to take the remaining therapy dosage, or to the insulin delivery device to prepare the remaining therapy dosage.

A cloud-based healthcare diagnostic and treatment platform capable of making non-invasive healthcare diagnostics and treatment recommendations based on data captured from combinations of physical activity and mental activity. In an embodiment, the system and method comprise a healthcare diagnostics and treatment module comprising a HIPPA-compliant security gateway, an AI-assisted healthcare diagnostics module, and an alert and treatments module. The HIPPA-compliant security gateway separates out health-related data from streams of data which may include other data such as game data, provides the health-related data to the AI-assisted healthcare diagnostics module which performs diagnoses of the health-related data using machine learning algorithms, and provides the diagnoses to the alert and treatments module which generates alerts and treatments based on the diagnoses.

A method and device used to improve the operation of a hydrocephalus shunt system based on the use of alpha and beta radioactive isotopes implanted in the critical zones of the shunt in order to prevent the deposition of organic matter such as blood cells, tissue, or bacteria, thereby clogging the system and causing malfunction.

A method and method for a cloud-based gaming platform with integrated healthcare diagnostic and treatment capabilities. In an embodiment, the system and method comprise a cloud-based gaming platform comprising a frontend accessible from various game clients which operates a gaming environment on one or more game servers, a backend that provides the game database and analytics used by the game servers to operate the gaming environment, and a healthcare diagnostics and treatment module integrated into the platform comprising a HIPPA-compliant security gateway, an AI-assisted healthcare diagnostics module, and an alert and treatments module. Exercising on an exercise machine compatible with the cloud-based gaming platform entertains the user while simultaneously capturing data about the user’s physical and mental performance which can be used to diagnose medical conditions and, depending on configuration, implement treatment regimens comprising exercise routines and mental simulation via tasks in the gaming environment.

Embodiments described herein generally relate to devices, systems and methods for measuring a volume or number of doses remaining in a drug delivery device that is used for delivering a dose to a patient. In some embodiments, a dose measurement system for measuring the liquid volume in a container includes a light guide disposed and configured to reflect electromagnetic radiation toward the container. The dose measurement system also includes a light guide disposed and configured to emit electromagnetic radiation into the light guide. A plurality of sensors are located in the apparatus that are optically coupleable to the light guide and are disposed and configured to detect the electromagnetic radiation emitted by at least a portion of the light guide. The apparatus also includes a processing unit configured to receive data representing the portion of the detected electromagnetic radiation from each of the plurality of sensors. The processing unit is further operable to convert the received data into a signature representative of the electromagnetic radiation detected by the plurality of sensors.

Infusion systems, infusion devices, and related operating methods are provided. An exemplary method of operating an infusion device capable of delivering fluid to a patient involves obtaining, by a control system associated with the infusion device, an input meal indication, obtaining historical data for the patient associated with the input meal indication, determining an estimated carbohydrate amount corresponding to the input meal indication based at least in part on the historical data, determining a bolus dosage of the insulin based at least in part on the estimated carbohydrate amount, and operating an actuation arrangement of the infusion device to deliver the bolus dosage of the insulin to the patient.

Provided is an exacerbation prediction device equipped with a respiration sensing means of continuously sensing respiration data of a patient, a calculation means of calculating stable respiration data that are respiration data during a condition in which a respiratory rate is lowered and stable for a certain period of time from the sensed continuous respiration data of the patient, and a prediction means of predicting occurrence of an acute exacerbation in the patient in accordance with the stable respiration data calculated during a certain period of time.

System and methods for controlling healthcare devices and systems using voice commands are presented. In some aspects a listening device may receive voice command from a person. The voice command may be translated into human readable or machine readable text via a speech-to-text service. A control component may receive the text and send device-specific instructions to a medical device associated with a patient based on the translated voice command. In response to the instructions, the medical device may take an action on a patient. Some examples of actions taken may include setting an alarm limit on a monitor actively monitoring a patient and adjusting the amount of medication delivered by an infusion pump. Because these devices may be controlled using a voice command, in some cases, no physical or manual interaction is needed with the device. As such, multiple devices may be hands-free controlled from any location.

A processing device in one embodiment is configured to generate a first sound cue of a first type, the first sound cue comprising a primary entrainment cue for an entrainment sonification system, to generate one or more additional sound cues of a second type, each of the one or more additional sound cues comprising an auxiliary entrainment cue for the entrainment sonification system, to provide the first sound cue and the one or more additional sound cues to one or more audio devices of the entrainment sonification system for generation of sound for audible presentation to a user, to receive from one or more sensors of the entrainment sonification system one or more feedback signals, and to adjust one or more characteristics of at least one of the first sound cue and the one or more additional sound cues based at least in part on the one or more received feedback signals.