Some embodiments are directed to an adherence monitor for use with a tethered cap inhaler device. The adherence monitor engages the inhaler device, and includes a tether opening located within a housing of the adherence monitor for receiving the tether. The tether opening is in the form of a slot in a base portion of the housing. The path length of the tether around the adherence monitor is kept from being increased, compared to its path length when the adherence monitor is not attached to the inhaler, by having the slot located to allow the tether to pass through the slot. Various sensors of the adherence monitor in various embodiments detect inhaler usage.

A medical fluid delivery system and apparatus for remote machine updating and control are disclosed. An example medical fluid delivery apparatus includes a processor and a dialysis fluid circuit including at least one dialysis fluid pump. The processor is configured to receive a disinfection input to begin a disinfection procedure and cause the at least one dialysis fluid pump to perform a disinfection procedure on the dialysis fluid circuit using a disinfection fluid. The processor is also configured to, after the disinfection procedure is complete, start a disinfection timer. When a dialysis input is received before the disinfection timer reaches zero, the processor enables a dialysis treatment to be performed. When the disinfection timer reaches zero before the dialysis input is received, the processor prevents the dialysis treatment from being performed until the disinfection procedure is performed again.

A system for mass vaccination includes a plurality of portable electronic injectors, a mobile process manager and a database. Each portable electronic injector includes at least one needle to administer a measured amount of at least one vaccine to a body skin/tissue and an indicator system to provide an indication when either an injection error occurs or when a vaccination indication is required. The mobile process manager is in wireless communication with the plurality of injection devices and controls a mass vaccination. The process manager transmits task data to all injection devices in parallel via WI-FI, receives the vaccination indications from each injector in real time, also receives injection errors and vaccination process data, alerts a vaccination process overseer generally in real-time of the errors and transmits the injection data from each injector via cellular and/or internet transmission to the database.

An intubation assistance device includes an electronic controller configured to: generate a patient respiratory tract geometry model of at least a portion of a human respiratory tract by inputting one or more patient variables into a statistical shape model (SSM) of at least a portion of the human respiratory tract; select a recommended endotracheal tube (ETT) size by modeling at least one ETT model inserted into the patient respiratory tract geometry model to form a virtual fit model and estimating at least one fit parameter based on the virtual fit model; and display the recommended ETT size on a display device.

Systems, and methods relate to a medical device receiving a treatment parameter operating point within a first operating region defined by a first set of operating points for which automatic incremental adjustment of a parameter in the current operation is permitted. In an illustrative example, incremental adjustment may use artificial intelligence based on patient feedback and sensor measurement of outcomes. Some exemplary devices may receive a request to alter the current treatment parameter operating point to a second treatment parameter operating point outside the first operating region and in a second operating region in a known safe operation zone, bounded by a known unsafe zone unavailable to the user. In the second operating region, some examples may restrict the step size of incremental adjustments requested by the user. Data may be collected for cloud-based analysis, for example, to facilitate discovery of more effective treatment protocols.

An inhalation-synchronized fluid dispenser device having a body (10; 10′) provided with a mouthpiece (400), a fluid reservoir (100) containing a fluid and a propellant gas being mounted to slide axially in the body (10; 10′), a metering valve (200) including a valve member (210) assembled on the reservoir (100) for selectively dispensing the fluid. The device includes an actuator element (500, 500′, 500″; 550) movable and/or deformable between a non-actuation position and an actuation position; an inhalation-controlled trigger system including an inhalation-sensitive member (60, 61; 65, 66) deformable and/or movable under the effect of inhaling and when deformed and/or moved, moving and/or deforming the actuator element (500, 500′, 500″; 550) from its non-actuation position towards its actuation position; an electronic dose counter (1000); and a signal-transmitter (1100) for communicating, in particular communicating remotely, information relating to the actuations of the device.

The invention relates to a mobile selection system for selecting medical accessories comprising a control system, a user interface and a treatment cart. The treatment cart comprises a plurality of storage devices each having at least two storage areas for a respective accessory type. The control system thereby implements a selection method having the following method steps. The treatment identifier of the treatment to be performed is determined in one method step via the user interface. In a further method step, a plurality of accessory set parameters which characterize a medical accessory set are determined on the basis of an accessory database and on the basis of the treatment identifier of the treatment to be performed. The treatment cart comprises a release mechanism, wherein the control system is designed to control the release mechanism so as to release those medical accessories for which at least one of the storage devices comprises storage area for their accessory types and which are characterized by the accessory set parameters on which the control is based.

An adaptive audio therapy system which detects and processes one or more individuals' conditions to provide adaptive, continuous audio therapy in real-time. The adaptive audio therapy system generally includes a detection device that is typically in physical contact with an individual, such as a pacifier or steering wheel. The detection device may include sensors to detect various conditions of the individual, such as heart rate, respiration rate, temperature, and the like. A computing device receives and processes the various conditions detected by the sensors. Based on the detected conditions, the computing device provides audio therapy which is adaptive to the condition of the patient and which is continuously adapted in real-time.

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.