A patient warming system for stabilizing and/or heating and cooling a patient includes a plurality of solid-surface sections arranged for attachment to a surgical table and a warming pad layer comprising a plurality of warming pads configured for removable connection to the plurality of solid-surface sections. At least one of the plurality of solid-surface sections includes a power connector for connection to an external power source. Each warming pad of the plurality of warming pads includes a foam insulation layer, a distributed heating element layer having a warming-pad power connection for connection to the power connector, an isothermal layer, and a flexible waterproof layer. Power supplied to the warming-pad power connection of the distributed heating element layer of the respective warming pad can be used to provide a user-selected uniform temperature over the surface of the flexible waterproof layer in order to prevent hot spots.

A system for delivering sensory stimulation comprises a sensor configured to measure brain activity information of a patient during a sleep session; a sensory stimulator configured to deliver sensory simulation to the patient during the sleep session; and a computer system. One or more physical processors are programmed with computer program instructions which, when executed cause the computer system to: determine a first stimulation profile, a second stimulation profile, or a combination stimulation profile thereof based on obtained sleep cycle information and/or obtained cognitive domain information; and provide input to the sensory stimulator based on the determined stimulation profile, the provided input causing the sensory stimulator to deliver the sensory simulations to the patient based on the determined stimulation profile during the detected slow wave sleep in the patient.

A system for delivering sensory stimulation comprises a sensor configured to measure brain activity information of a patient during a sleep session; a sensory stimulator configured to deliver sensory simulation to the patient during the sleep session; and a computer system. One or more physical processors are programmed with computer program instructions which, when executed cause the computer system to: determine a first stimulation profile, a second stimulation profile, or a combination stimulation profile thereof based on obtained sleep cycle information and/or obtained cognitive domain information; and provide input to the sensory stimulator based on the determined stimulation profile, the provided input causing the sensory stimulator to deliver the sensory simulations to the patient based on the determined stimulation profile during the detected slow wave sleep in the patient.

The present disclosure relates to methods and systems suitable for use in identifying and providing personalised medicine to a patient. In some aspects, systems and method generate a co-therapy regimen for a patient suffering from a disease or condition. An identification of a co-therapy suitable to treat the disease or condition is received. A desired patient endpoint and a patient position are received, wherein the patient position is defined relative to the desired patient endpoint. A dataset relating to the patient is stored. The dataset comprises one or more patient data based on patient-related measurements. The dataset, the patient position and the desired patient endpoint are processed to generate a regimen for the co-therapy. The regimen is stored in a database.

A system includes an imaging device and a server device in communication with the imaging device. The imaging device is positioned to capture images of a set of inventory items associated with health care tasks and is configured to generate a first signal when an inventory item from among the set of inventory items has been retrieved. The server device includes a processor that is configured to receive an identification of a health care task associated with the inventory item; receive the first signal from the imaging device indicating when the inventory item has been retrieved; update a database record associated with the inventory item within a database responsive to receiving the first signal; and transmit a second signal to a client device including information associated with the updated database record.

A system includes an imaging device and a server device in communication with the imaging device. The imaging device is positioned to capture images of a set of inventory items associated with health care tasks and is configured to generate a first signal when an inventory item from among the set of inventory items has been retrieved. The server device includes a processor that is configured to receive an identification of a health care task associated with the inventory item; receive the first signal from the imaging device indicating when the inventory item has been retrieved; update a database record associated with the inventory item within a database responsive to receiving the first signal; and transmit a second signal to a client device including information associated with the updated database record.

A system and method to detect an unauthorized device coupled to an interface of a control system for a patient support apparatus. The interface may be wired or wireless, and the system and method may involve determining an operating signature of a device coupled to an interface. Based on the operating signature being consistent with a device signature stored in memory, the system may determine the device coupled to the interface is an authorized device.

A user-specific workout can be generated by adjusting transform parameters of a user-agnostic training profile to conform to a user boundary specifying a user's ability to perform work. The user-agnostic training profile can be defined in a training space, specifying a power curve in a time domain whereas the user boundary can be defined in a boundary space, specifying amounts of user-produced work in a time window size domain. A training boundary can be generated based on the user-agnostic training profile by determining the largest area under the user-agnostic training profile power curve for various time window sizes, where each largest area under the user-agnostic training profile power curve produces a data point for the training boundary for that window size domain value. The training boundary can be transformed based on the user boundary, causing corresponding transformations to the user-agnostics training profile, converting it to a user-specific workout.

Exemplary embodiments may provide a user interface and logic for assisting a user in calculating a proper medicament bolus dosage. The user interface may be simple and easy to understand. The user interface may clearly specify needed inputs, such as a carbohydrates amount for a meal that is about to be ingested and the current glucose level reading for the user. Entered inputs may be displayed on the user interface. The user interface may depict key calculated values resulting from calculations that involve the inputs, including the total bolus dosage calculation. The user interface also may depict the values that contribute to the total bolus dosage calculation. Some of the input values, such as carbohydrates amount, may be prepopulated by the management device or medicament delivery device. The user interface may permit overriding of prepopulated input values.

Urgent screening in high-throughput, secure environments such as emergency rooms, or security, typically involves multiple devices. Devices that are used for screening are diverse, and typically sourced from multiple vendors. Currently, devices are typically stand-alone. Further, large devices, are costly, having high capital expenses with long commercial lifetimes, sometimes approaching a decade or more. The result of these features leads to duplication of computational resources, obsolescent computational infrastructure, and lack of interconnection between elements. Aspects of this invention include a device, system, and methods to provide vendor-agnostic interconnection between the multiple elements of a defined environment. The disclosed approach untethers AI algorithms from data generation system and increases flexibility in deployment of newer technologies and algorithms. Example systems can be updated or replaced with new hardware, as computational capabilities develop on short or emergent quality improvement cycles, and can adapt nimbly to changes in threats, regulatory requirements or market developments.