Abstract: A system and method for identifying events occurring in a patient room during an interaction with a caregiver, generating, using a machine learning model, an event description based on video data from the patient room, and recording the description with annotations to the electronic medical record of the patient is described.

Abstract: Systems for monitoring respiration are described. One system receives spatiotemporal data from a sensor array worn by a patient. The spatiotemporal data includes spatial and temporal components. The system feeds the spatiotemporal data into a machine learning model. The system characterizes the respiration based on an output of the machine learning model. Another system identifies one or more edges on a wearable article, and tracks a frequency of motion of the one or more edges on the wearable device to determine the respiration rate.

Abstract: Devices, systems, and methods for detecting a fluid infiltration event. A system includes a fluid delivery cannula having a distal end and a proximal end, a fluid source fluidly coupled to the proximal end of the fluid delivery cannula, and an optical sensor optically coupled to an interior of the fluid delivery cannula. The optical sensor is disposed between the distal end and the proximal end of the fluid delivery cannula and configured to generate an electronic signal based on one or more characteristics of light sensed in the interior of the fluid delivery cannula when fluid from the fluid source is passed therethrough. The system further includes a controller configured to receive the electronic signal from the optical sensor and determine a fluid infiltration event based on the electronic signal.

Abstract: Various scopes and methods for generating and outputting a 3D image of a surface are described herein. An example method includes generating depth data by detecting a distance between at least one imager and a surface; generating 2D image data by detecting light reflected from the surface; generating a 3D image of the surface by combining the depth data and the 2D image data; and outputting the 3D image of the surface.

Abstract: A sensor device includes a housing defining a cavity, an inlet to receive fluid pumped from an instrument device, an outlet to return the fluid to a fluid reservoir, and a fluid channel defined inside the cavity between the inlet and the outlet. A heat pump is mounted inside the cavity, and has a side surface thermally coupled to the fluid channel and an opposite side surface thermally coupled to a plate. The heat pump is configured to induce a temperature change. A sensor unit is aligned with an aperture in the plate and includes an optical component and a thermal component. The optical component configured to measure a vascular endothelial response from the induced temperature change.

Abstract: An example method includes identifying physiological parameters of a patient and based on the physiological parameters of the patient and using at least one trained machine learning model, determining a metric indicative of kidney health of the patient. The example method further includes determining that the metric is outside of a predetermined range. In response to determining that the metric is outside of the predetermined range, the method includes outputting a recommendation based on the metric or administering a treatment to the patient based on the metric.

Abstract: An example system for microvascular assessment of a patient can include: a fundus imaging device including: a camera configured to capture one or more images of an eye of the patient; and at least one light source; and a microvascular assessment computing device including: a processor; and memory encoding instructions which, when executed by the processor, cause the system to: activate the light source to direct light at a fundus of the eye of the patient; capture, with the camera, one or more images of the fundus of the patient, the fundus comprising a plurality of blood vessels; and analyze with the microvascular assessment computing device, the one or more images to determine a microvasculature health index for the patient.

Abstract: A sensor device includes a housing defining a cavity, an inlet to receive fluid pumped from an instrument device, an outlet to return the fluid to a fluid reservoir, and a fluid channel defined inside the cavity between the inlet and the outlet. A heat pump is mounted inside the cavity, and has a side surface thermally coupled to the fluid channel and an opposite side surface thermally coupled to a plate. The heat pump is configured to induce a temperature change. A sensor unit is aligned with an aperture in the plate and includes an optical component and a thermal component. The optical component configured to measure a vascular endothelial response from the induced temperature change.

Abstract: An example unified application can leverage the insights gained about the patient to provide a range of customized services that aid in the patient's recovery throughout the recovery process. The disclosed system and methods provide a continuum of care for the patient, including services that aid in the patient's recovery and management of a medical condition outside the hospital environment, pre-hospitalization and post-hospitalization.

Abstract: A device for conducting a telehealth consultation. The device receives a video feed of a patient environment, and recognizes a local device in the video feed of the patient environment. The device detects an input directed to the local device, generates a control command based on the input, and sends the control command to the local device. The control command causes the local device to perform an action during the telehealth consultation.

Abstract: The present invention relates to the field of big data technology and is applied to the field of smart medical care in smart cities. It discloses a method, device, equipment and storage medium for remote consultation. Perform big data analysis to obtain the analysis results; generate medical prompt information based on the analysis results, and send the medical prompt information to the user terminal for display; when receiving the medical consultation appointment instruction based on the medical prompt information feedback, open it according to the medical consultation appointment instruction AR remote service window.

Abstract: A method of remote monitoring a patient includes monitoring the patient under a first modality that blocks identification of the patient. The method includes determining whether an event is detected by the first modality. When an event is detected, the method includes monitoring the patient under a second modality, which is different from the first modality and includes capturing images of the patient.

Abstract: A compute device may include circuitry configured to obtain patient state data that may be indicative of a heart rate of the patient or a respiration rate of the patient. The circuitry may also be configured to obtain patient medication data indicative of a schedule for administration of pain medication to the patient. Further, the circuitry may be configured to determine whether a trend in the patient state data satisfies a predefined condition, determine whether the patient medication data indicates that the patient is due for administration of pain medication within a predefined time period, determine, in response to a determination that the trend in the patient state data satisfies the predefined condition and a determination that the patient is due for administration of pain medication within the predefined time period, that the patient is experiencing pain, and produce an alert signal that the patient is in pain.

Abstract: A care delivery system detects an event from one or more sensors. The event indicates a safety risk to a patient in a first location. The system determines a clinical workflow based on the safety risk, and one or more rules defined by a healthcare facility in a second location remote from the first location. The system initiates a telehealth consultation based on the clinical workflow. The telehealth consultation includes the patient and a first caregiver in the second location. The system generates an alert identifying the safety risk, and routes the alert to a second caregiver based on the clinical workflow.

Abstract: A system for detecting and monitoring lines in a healthcare setting includes a medical device positioned in a healthcare facility. A line extends from the medical device. At least one imaging device is positioned in the healthcare facility to identify the line. A computer determines whether an unwanted condition of the line has occurred.

Abstract: A sensor device includes a housing defining a cavity, an inlet to receive fluid pumped from an instrument device, an outlet to return the fluid to a fluid reservoir, and a fluid channel defined inside the cavity between the inlet and the outlet. A heat pump is mounted inside the cavity, and has a side surface thermally coupled to the fluid channel and an opposite side surface thermally coupled to a plate. The heat pump is configured to induce a temperature change. A sensor unit is aligned with an aperture in the plate and includes an optical component and a thermal component. The optical component configured to measure a vascular endothelial response from the induced temperature change.

Abstract: An example method includes capturing images using a camera and detecting a medical device in a first image among the images. A request is transmitted to the medical device. Based on transmitting the request, the example method includes determining that the medical device has output a chirp signal in a second image among the images. Based on the chirp signal, the method includes causing the medical device to perform an action by transmitting a control message to the medical device.

Abstract: An example method includes identifying images of an individual and determining, based on the images, a facial feature of the individual. The example method further includes determining a contextual feature of the individual. Based on the facial feature and the contextual feature, an identity of the individual is determined.

Abstract: An example method includes receiving a 2D image of a 3D space from an optical camera, identifying, in the 2D image. A virtual image generated by an optical instrument refracting and/or reflecting the light is identified. The example method further includes identifying, in the 2D image, a first object depicting a subject disposed in the 3D space from a first direction extending from the optical camera to the subject and identifying, in the virtual image, a second object depicting the subject disposed in the 3D space from a second direction extending from the optical camera to the subject via the optical instrument, the second direction being different than the first direction. A 3D image depicting the subject based on the first object and the second object is generated. Alternatively, a location of the subject in the 3D space is determined based on the first object and the second object.

Abstract: Various techniques for determining risks to patients and care providers based on images are described herein. According to some examples, images of an individual in a clinical setting are identified. A risk that the individual will experience an adverse event, such as an injury, is calculated. An alert or report is output based on the risk.