Abstract: A thermal control system for controlling a patient's temperature includes a thermal control unit and an off-board computing device. The thermal control unit includes a fluid inlet, a fluid outlet, a pump, a heat exchanger, a display, one or more sensors, a transceiver, and a controller. The thermal control system employs one or more machine learning techniques to perform one or more of the following: automatically implement one or more user-preferred settings, automatically predict the occurrence of one or more events based on analyses of prior events, and/or automatically improve one or more algorithms based on analyses of additional sensor data. The machine learning techniques may be implemented onboard the thermal control unit and/or may be implemented at a remote computing device (e.g. a server) that collates and analyzes data from multiple thermal control units, and then sends the results of the analyses back to the thermal control units.

Abstract: A patient support apparatus, such as a bed, cot, stretcher, etc., for supporting a patient includes an exit detection system with multiple user-selectable modes of operation that each have different sensitivity levels for triggering an exit alert. The exit detection system also includes one or more non-user selectable modes of operation that are automatically implemented in response to a triggering action. For example, a transition mode may be automatically implemented when the user attempts to switch from a first user-selectable mode to a different user selectable mode, or a motion mode may be automatically implemented when movement of one or more components of the patient support apparatus occurs. In the transition mode, the exit detection system may use a least restrictive sensitivity level. In the motion mode, the exit detection system may inhibit exit alerts and/or change the criteria for issuing the exit alert.

Abstract: A person support apparatus, such as a bed, cot, stretcher, chair, or the like, includes a frame, a support surface supported by the frame, a plurality of load cells that detect weight supported on the support surface, at least one A/D converter, and a controller. The load cells output analog signals that are converted to digital by the A/D converters. The controller switches a sampling rate of the A/D converters between at least first and second rates. The outputs from the load cells are forwarded to a plurality of signal acquisition nodes that include the A/D converters. The nodes are positioned at locations that minimize the length of travel of the analog signals, thereby reducing noise interference. Shivering, occupant absence/presence, vital signs, occupant movement, and/or other parameters are detected by the load cells.

Abstract: A patient support apparatus includes a plurality of primary sensors adapted to measure different parameters used in the control of the patient support apparatus. One or more suites of secondary sensors are added to the patient support apparatus to provide data about the primary sensors. The secondary sensors may be used to detect errors in the primary sensors, to modify outputs from the primary sensors, and/or to provide usage and/or diagnostic data about the use of the patient support apparatus. The suite(s) of secondary sensors may measure parameters that affect the outputs of one or more of the primary sensors. In some embodiments, the suite(s) of secondary sensors include one or more dormant sensors that are not used on the patient support apparatus until a code modification is received from one or more external sources instructing the control system of the patient support apparatus to begin using the dormant sensor(s).

Abstract: A patient support apparatus, such as a bed, stretcher, cot, or the like, includes a frame, a support surface, a control, a controller, and a transceiver. The patient support apparatus employs one or more machine learning techniques to perform one or more of the following: automatically implement one or more user-preferred settings, automatically predict the occurrence of one or more events based on analyses of prior events, and/or automatically improve one or more algorithms based on analyses of additional sensor data. The machine learning techniques may be implemented onboard the patient support apparatus and/or may be implemented at a remote computer device (e.g. a server) that collates and analyzes data from multiple patient support apparatuses, and then sends the results of the analyses back to the patient support apparatuses.

Abstract: A patient support system for providing customized user menus. The system comprises a patient support apparatus, a user interface configured to receive input from a user, and a display configured to display user menus or information. The user menus may comprise indicia representative of the operational functions of the patient support apparatus. A controller determines the customized user menu based on usage characteristics, a position of the user interface in proximity to the patient support apparatus, a location of the user interface within a facility, an identification of the user, and/or a patient condition. A touchscreen and/or a mobile device may comprise the user interface and the display. The mobile device may be removably coupled to the patient support apparatus. Methods for improving patient care by providing the customized user menu are also disclosed.

Abstract: A patient support apparatus, such as a bed, cot, stretcher, or the like, includes a litter frame, a support deck, a plurality of force sensors adapted to output signals corresponding to downward forces exerted on the support deck, and a controller configured carrying out various functions and to display various screens on a touchscreen or display, including a scale home screen and a scale equipment screen. A patient's current weight can be displayed on the scale home screen and the weight of equipment supported on the apparatus can be displayed on the scale home screen and the scale equipment screen. When a patient's current weight is characterized as possibly including non-patient weight, the controller can display a warning screen.

Abstract: A patient support apparatus, such as a bed, cot, stretcher, etc., for supporting a patient includes an exit detection system with multiple user-selectable modes of operation that each have different sensitivity levels for triggering an exit alert. The exit detection system also includes one or more non-user selectable modes of operation that are automatically implemented in response to a triggering action. For example, a transition mode may be automatically implemented when the user attempts to switch from a first user-selectable mode to a different user selectable mode, or a motion mode may be automatically implemented when movement of one or more components of the patient support apparatus occurs. In the transition mode, the exit detection system may use a least restrictive sensitivity level. In the motion mode, the exit detection system may inhibit exit alerts and/or change the criteria for issuing the exit alert.

Abstract: A patient support apparatus, such as a bed, cot, stretcher, etc., for supporting a patient includes an exit detection system with multiple user-selectable modes of operation that each have different sensitivity levels for triggering an exit alert. The exit detection system also includes one or more non-user selectable modes of operation that are automatically implemented in response to a triggering action. For example, a transition mode may be automatically implemented when the user attempts to switch from a first user-selectable mode to a different user selectable mode, or a motion mode may be automatically implemented when movement of one or more components of the patient support apparatus occurs. In the transition mode, the exit detection system may use a least restrictive sensitivity level. In the motion mode, the exit detection system may inhibit exit alerts and/or change the criteria for issuing the exit alert.

Abstract: A patient support system for providing customized user menus. The system comprises a patient support apparatus, a user interface configured to receive input from a user, and a display configured to display user menus or information. The user menus may comprise indicia representative of the operational functions of the patient support apparatus. A controller determines the customized user menu based on usage characteristics, a position of the user interface in proximity to the patient support apparatus, a location of the user interface within a facility, an identification of the user, and/or a patient condition. A touchscreen and/or a mobile device may comprise the user interface and the display. The mobile device may be removably coupled to the patient support apparatus. Methods for improving patient care by providing the customized user menu are also disclosed.

Abstract: A patient support apparatus, such as a bed, cot, stretcher, etc., for supporting a patient includes an exit detection system with multiple user-selectable modes of operation that each have different sensitivity levels for triggering an exit alert. The exit detection system also includes one or more non-user selectable modes of operation that are automatically implemented in response to a triggering action. For example, a transition mode may be automatically implemented when the user attempts to switch from a first user-selectable mode to a different user selectable mode, or a motion mode may be automatically implemented when movement of one or more components of the patient support apparatus occurs. In the transition mode, the exit detection system may use a least restrictive sensitivity level. In the motion mode, the exit detection system may inhibit exit alerts and/or change the criteria for issuing the exit alert.

Abstract: A patient support apparatus including a support deck with a support surface and a deck section configured to move between a first position and a second position, a barrier to limit egress from the support surface operatively attached to the deck section for concurrent movement, and a user interface coupled to the barrier and configured to receive input from a user. The user interface includes a screen to display visual content to the user, and an input device to generate an input signal in response to receiving user input. An orientation sensor determines an orientation of the screen based on movement of the deck section between the first position and the second position. A controller is configured to perform a function in response to receiving the input signal, and maintain a predetermined orientation of the visual content displayed on the screen as the screen moves with the deck section.

Abstract: A patient support apparatus, such as abed, cot, stretcher, or the like, includes a frame, support surface, exit detection system, and control. The exit detection system includes multiple sensors and a controller configured to issue an exit alert when the patient exits from the support surface. The control is configured to disarm the exit detection system, and the controller is further configured to use outputs from the exit detection sensors to detect when the patient on the support surface may be making an attempt to disarm the exit detection system, and to prevent the patient from disarming the exit detection system during the attempt. The sensors may comprise load cells. In some embodiments, the control is positioned at the foot end of the patient support apparatus, while in other embodiments, the control may be positioned along a siderail of the patient support apparatus.

Abstract: A patient support apparatus includes a plurality of primary sensors adapted to measure different parameters used in the control of the patient support apparatus. One or more suites of secondary sensors are added to the patient support apparatus to provide data about the primary sensors. The secondary sensors may be used to detect errors in the primary sensors, to modify outputs from the primary sensors, and/or to provide usage and/or diagnostic data about the use of the patient support apparatus. The suite(s) of secondary sensors may measure parameters that affect the outputs of one or more of the primary sensors. In some embodiments, the suite(s) of secondary sensors include one or more dormant sensors that are not used on the patient support apparatus until a code modification is received from one or more external sources instructing the control system of the patient support apparatus to begin using the dormant sensor(s).

Abstract: A patient support apparatus comprising a patient support deck, a touchscreen, and a controller. The patient support deck comprises a patient support surface. The touchscreen comprises a screen, an input surface arranged adjacent to the screen, and a touch sensor configured to generate an electric field within an envelope defined adjacent to the input surface to sense conductive objects interacting with the electric field. The touch sensor is operable at a first sensitivity level to detect conductive objects approaching the input surface, and a second sensitivity level to detect conductive objects engaging the input surface. The controller is in communication with the touchscreen to operate the touch sensor at the first sensitivity level during an absence of conductive objects interacting with the electric field, and to operate the touch sensor at the second sensitivity level in response to conductive objects interacting with the electric field within the envelope.

Abstract: A patient support apparatus includes a plurality of primary sensors adapted to measure different parameters used in the control of the patient support apparatus. One or more suites of secondary sensors are added to the patient support apparatus to provide data about the primary sensors. The secondary sensors may be used to detect errors in the primary sensors, to modify outputs from the primary sensors, and/or to provide usage and/or diagnostic data about the use of the patient support apparatus. The suite(s) of secondary sensors may measure parameters that affect the outputs of one or more of the primary sensors. In some embodiments, the suite(s) of secondary sensors include one or more dormant sensors that are not used on the patient support apparatus until a code modification is received from one or more external sources instructing the control system of the patient support apparatus to begin using the dormant sensor(s).

Abstract: A patient support apparatus is provided, such as a bed, cot, stretcher, or the like, that includes a sensor adapted to detect movement of the occupant while the occupant is supported on the support apparatus. A controller monitors outputs from the sensor in response to a mobility assessment control being activated. After monitoring the outputs for a period of time, the controller generates a mobility score based on the outputs from the sensor. In some embodiments, the controller use outputs from the sensor to determine which region of a defined surface area the patient has moved to. The controller records these visited regions over a time period and uses them to generate the mobility assessment. The mobility assessment provides an objective measure of an important factor used in predicting a patient's risk of developing pressure ulcers.

Abstract: A person support apparatus, such as a bed, cot, stretcher, chair, or the like, includes a frame, a support surface supported by the frame, a plurality of load cells that detect weight supported on the support surface, at least one A/D converter, and a controller. The load cells output analog signals that are converted to digital by the A/D converters. The controller switches a sampling rate of the A/D converters between at least first and second rates. The outputs from the load cells are forwarded to a plurality of signal acquisition nodes that include the A/D converters. The nodes are positioned at locations that minimize the length of travel of the analog signals, thereby reducing noise interference. Shivering, occupant absence/presence, vital signs, occupant movement, and/or other parameters are detected by the load cells.

Abstract: A first node of a patient care device processes data relating to the patient care device and sets a public variable equal to a value of the data. A second node receives the public variable from the first node, sets a private variable equal to the value of the public variable, and executes a software program that reads the private variable but not the public variable. In other embodiments, the second node checks to see if the public variable is registered at the second node, and if so, uses the private variable in carrying out a function. The first node executes a first software program that sets the public variable to the value and relies on a service to share the value with the second node. The sharing occurs despite the first software program not containing any instructions for transmitting the value or variable to the second node.