Abstract: A patient support apparatus comprises a plurality of load cells, a frame supported on the load cells, a mattress, a plurality of air pressure sensors, and a control system. The mattress includes a plurality of inflatable zones positioned on the frame, the mattress and frame cooperating to direct any patient load through the mattress and frame to the load cells. Each of the plurality of air pressure sensors measures the pressure in a respective inflatable zone of the mattress. The control system includes a controller operable to receive a separate signal from each of the plurality of load cells and each of the plurality of air pressure sensors and process the signals to identify movement data and communicate the movement data to a caregiver.

Abstract: Systems include a plurality of sensors coupled to a person support apparatus, at least one moisture sensor configured to sense a moisture level between the person and the support surface, and at least one computing device coupled to the plurality of sensors coupled to the person support apparatus and the at least one moisture sensor. The at least one computing device receives data from the plurality of sensors coupled to the person support apparatus and the at least one moisture sensor, obtains data from an electronic medical record associated with the person supported by the person support apparatus, calculates a pressure injury score indicative of a likelihood that the person will develop a pressure injury based on the data from the plurality of sensors, the at least one moisture sensor, and the electronic medical record, and alters a treatment plan for the person based on the calculated pressure injury score.

Abstract: A monitoring system for a patient fall risk protocol includes a support apparatus that includes a sensor configured to sense a position of a patient. A control unit is in communication with the sensor. The control unit is configured to monitor the position of the patient relative to a monitoring area on the support apparatus. The control unit is configured to determine a preliminary risk evaluation. A controller is in communication with the support apparatus. The controller is configured to receive the preliminary risk evaluation from the support apparatus and adjust a monitoring level of the monitoring area in response to the preliminary risk evaluation.

Abstract: A system for automatically assessing orthostatic hypotension for a patient supported on a patient support apparatus. The system receives position data identifying a first position of a patient supported on a patient support apparatus, and after a delay, receives vital signs data of the patient. The system receives position data identifying a second position of the patient supported on the patient support apparatus, and after a delay, receives vital signs data of the patient. The system determines an orthostatic hypotension assessment based on a difference in the vital signs data between the first and second positions. Based on the orthostatic hypotension assessment, the system modifies one or more conditions on the patient support apparatus to mitigate a risk for patient fall.

Abstract: Monitoring patients utilizing computer vision to analyze patient movements on or near a patient support apparatus such as a bed. Computer vision is employed to analyze video feed of patients to detect movements indicative of clinical parameters. Information generated by the computer vision processor can be recorded to a patient's electronic medical record. Such information can be used to make clinical assessments, diagnoses, or detect critical patient events requiring attention of caregivers. In instances where caregiver assistance is required, an alert can be communicated to one or more caregivers through a caregiver call system.

Abstract: Automatically evaluating a level of mobility of a patient using a machine-learning model and load sensors integrated into a patient support system. A machine-learning model implemented on a computing system analyzes the load sensor data to determine whether the patient has difficulty standing up. This automated analysis can replace existing mobility assessments that were previously performed by caregivers. The mobility assessment data generated by the computing system can be recorded in the patient's electronic medical record (EMR) and utilized as a factor in determining patient fall risk.

Abstract: A system for identifying a location of a device includes a first antenna mounted to a plug. The first antenna surrounds one or more prongs of the plug, and the plug has a memory that stores a device ID. A second antenna receives the device ID from the first antenna when the plug is coupled to a power outlet. A controller uses a communication module to wirelessly transfer the device ID and a power outlet ID to a computer server. The computer server uses the device ID and the power outlet ID to determine the location of the device within a building.

Abstract: Monitoring a patient can include a vital sign device including a skin contact and a demodulator circuit in communication with the electrically conductive skin contact, the demodulator circuit including: a physiological waveform data processing module configured to process the waveform data received from the electrically conductive skin contact; and a digitally encoded data processing module configured to detect and decode digitally encoded data modulated at the carrier frequency. Also included can be a signal conductive blanket including an extended touch point. A clinician contacts the extended touch point of the signal conductive blanket and the patient monitoring device to connect the vital sign device and the patient monitoring device.

Abstract: A system for identifying a location of a device includes a first antenna mounted to a plug. The first antenna surrounds one or more prongs of the plug, and the plug has a memory that stores a device ID. A second antenna receives the device ID from the first antenna when the plug is coupled to a power outlet. A controller uses a communication module to wirelessly transfer the device ID and a power outlet ID to a computer server. The computer server uses the device ID and the power outlet ID to determine the location of the device within a building.

Abstract: A system for automatically assessing orthostatic hypotension for a patient supported on a patient support apparatus. The system receives position data identifying a first position of a patient supported on a patient support apparatus, and after a delay, receives vital signs data of the patient. The system receives position data identifying a second position of the patient supported on the patient support apparatus, and after a delay, receives vital signs data of the patient. The system determines an orthostatic hypotension assessment based on a difference in the vital signs data between the first and second positions. Based on the orthostatic hypotension assessment, the system modifies one or more conditions on the patient support apparatus to mitigate a risk for patient fall.

Abstract: Monitoring a patient can include a vital sign device including a skin contact and a demodulator circuit in communication with the electrically conductive skin contact, the demodulator circuit including: a physiological waveform data processing module configured to process the waveform data received from the electrically conductive skin contact; and a digitally encoded data processing module configured to detect and decode digitally encoded data modulated at the carrier frequency. Also included can be a signal conductive blanket including an extended touch point. A clinician contacts the extended touch point of the signal conductive blanket and the patient monitoring device to connect the vital sign device and the patient monitoring device.

Abstract: An example system for estimating a likelihood of a fall for a patient includes: at least one processor; and memory encoding instructions which, when executed by the at least one processor, cause the at least one processor to: access first data associated with acute action of and environment for the patient; access second data associated with attributes of the patient over time; calculate a composite fall score based upon the first data and the second data.

Abstract: An example system for estimating an injury risk relating to a fall for a patient can include: at least one processor; and memory encoding instructions which, when executed by the at least one processor, cause the at least one processor to: access first data associated with an estimated likelihood of a fall for the patient; access second data associated with an estimated severity of a fall for the patient; and calculate a score based upon the first data and the second data.

Abstract: Monitoring a patient can include a vital sign device including a skin contact and a demodulator circuit in communication with the electrically conductive skin contact, the demodulator circuit including: a physiological waveform data processing module configured to process the waveform data received from the electrically conductive skin contact; and a digitally encoded data processing module configured to detect and decode digitally encoded data modulated at the carrier frequency. Also included can be a signal conductive blanket including an extended touch point. A clinician contacts the extended touch point of the signal conductive blanket and the patient monitoring device to connect the vital sign device and the patient monitoring device.

Abstract: A system for identifying a location of a device includes a first antenna mounted to a plug. The first antenna surrounds one or more prongs of the plug, and the plug has a memory that stores a device ID. A second antenna receives the device ID from the first antenna when the plug is coupled to a power outlet. A controller uses a communication module to wirelessly transfer the device ID and a power outlet ID to a computer server. The computer server uses the device ID and the power outlet ID to determine the location of the device within a building.

Abstract: Systems include a plurality of sensors coupled to a person support apparatus, at least one moisture sensor configured to sense a moisture level between the person and the support surface, and at least one computing device coupled to the plurality of sensors coupled to the person support apparatus and the at least one moisture sensor. The at least one computing device receives data from the plurality of sensors coupled to the person support apparatus and the at least one moisture sensor, obtains data from an electronic medical record associated with the person supported by the person support apparatus, calculates a pressure injury score indicative of a likelihood that the person will develop a pressure injury based on the data from the plurality of sensors, the at least one moisture sensor, and the electronic medical record, and alters a treatment plan for the person based on the calculated pressure injury score.

Abstract: A system for identifying a location of a device includes a first antenna mounted to a plug. The first antenna surrounds one or more prongs of the plug, and the plug has a memory that stores a device ID. A second antenna receives the device ID from the first antenna when the plug is coupled to a power outlet. A controller uses a communication module to wirelessly transfer the device ID and a power outlet ID to a computer server. The computer server uses the device ID and the power outlet ID to determine the location of the device within a building.

Abstract: Monitoring a patient can include a vital sign device including a skin contact and a demodulator circuit in communication with the electrically conductive skin contact, the demodulator circuit including: a physiological waveform data processing module configured to process the waveform data received from the electrically conductive skin contact; and a digitally encoded data processing module configured to detect and decode digitally encoded data modulated at the carrier frequency. Also included can be a signal conductive blanket including an extended touch point. A clinician contacts the extended touch point of the signal conductive blanket and the patient monitoring device to connect the vital sign device and the patient monitoring device.