Abstract: A system for monitoring sepsis in a healthcare facility. The system calculates sepsis scores for a patient using physiological parameter data captured by one or more sensors. The system generates a sepsis score trend based on the sepsis scores, and generates a predicted sepsis trend based on the sepsis scores and a treatment administered to the patient. The system displays the predicted sepsis trend over the sepsis score trend. The system can further display a summary including a sepsis status and a treatment status for a plurality of patients in the healthcare facility.

Abstract: A system for interpreting an electrocardiogram identifies a segment of the electrocardiogram having an abnormality using a machine learning algorithm. The system assigns an interpretation output to the segment of the electrocardiogram having the abnormality. The interpretation output describes a morphology of the abnormality.

Abstract: A location system can be used to identify locations of assets in a clinical environment. An example location system receives, from a primary receiver, timing data indicating times at which multiple receivers including the primary receiver received a wireless signal from a tag. The multiple receivers may be located in the clinical environment. The example location system further identifies that the timing data includes a flag indicating that a user of the tag has requested assistance, identifies an identifier of the tag based on the timing data; and transmits, to a reporting system, a first message indicating an identifier of the tag and that the user of the tag has requested assistance.

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 method comprising receiving an input indicating intake information associated with a patient. Based on the input, the method further includes determining an initial discharge date and receiving mobility information associated with the patient. Based in part on the mobility information, the method further includes determining an estimated discharge date and a confidence metric associated with the estimated discharge date, determining that the estimated discharge date is later than the initial discharge date by more than a threshold period of time, and determining that the confidence metric is greater than a threshold metric. Based in part on the estimated discharge date being later than the initial discharge date by more than the threshold period of time and the confidence metric being greater than the threshold metric, the method further includes generating an alert.

Abstract: Various techniques for assisting care providers with workflows and handoffs are described. An example method includes identifying patient data that includes message data, electronic medical record (EMR) data, and sensor data. The message data includes at least one text, audio, or video message about a patient. The EMR data includes at least a portion of an EMR of the patient. The sensor data includes at least one image the patient detected by a camera mounted on a hospital bed on which the patient is supported. The example method further includes determining, based on the patient data, a condition of the patient and a task associated with the patient. A report including the condition of the patient and the task is generated and transmitted to a computing device associated with the care provider.

Abstract: A location system can be used to identify locations of assets in a clinical environment. An example location system receives, from a primary receiver, timing data indicating times at which multiple receivers including the primary receiver received a wireless signal from a tag. The multiple receivers may be located in the clinical environment. The example location system further identifies that the timing data includes a flag indicating that a user of the tag has requested assistance, identifies an identifier of the tag based on the timing data; and transmits, to a reporting system, a first message indicating an identifier of the tag and that the user of the tag has requested assistance.

Abstract: A system identifies a first position of a tag in a clinical environment based on first times at which first receivers received a first wireless signal from the tag. The system estimates a second position of the tag in the clinical environment based on second times at which second receivers received a second wireless signal from the tag. The system determines that a boundary is located between the first position and the second position, defines a path range around the first position of the tag based on an expected movement of the tag during a time interval between the first and second wireless signals, determines that the boundary lacks a door within the path range, adjusts the second position of the tag based on the boundary map, and transmits a message indicating that the tag is located at the adjusted position at the second time.

Abstract: A system can identify a first position of a tag in a clinical environment based on first times at which first receivers received a first wireless signal from the tag. The system can estimate a second position of the tag in the clinical environment based on second times at which second receivers received a second wireless signal from the tag. The system determines that a boundary is located between the first position and the second position, defines a path range around the first position of the tag based on an expected movement of the tag during a time interval between the first and second wireless signals, determines that the boundary lacks a door within the path range, adjusts the second position of the tag based on the boundary map, and transmits a message indicating that the tag is located at the adjusted position at the second time.

Abstract: Various systems, devices, and methods for predicting and identifying root causes of pressure injuries in a clinical environment are described. An example method includes identifying, based on an electronic medical record (EMR) of a patient, that the patient has an injury; receiving, from one or more sensors, sensor data indicating one or more parameters of the patient; determining, based on the sensor data, at least one root cause of the injury; and transmitting, to an external computing device, a report indicating the at least one root cause of the injury.

Abstract: A location system can be used to identify locations of assets in a clinical environment. An example location system receives, from a primary receiver, timing data indicating times at which multiple receivers including the primary receiver received a wireless signal from a tag. The multiple receivers may be located in the clinical environment. The example location system further identifies that the timing data includes a flag indicating that a user of the tag has requested assistance, identifies an identifier of the tag based on the timing data; and transmits, to a reporting system, a first message indicating an identifier of the tag and that the user of the tag has requested assistance.

Abstract: A system identifies a first position of a tag in a clinical environment based on first times at which first receivers received a first wireless signal from the tag. The system estimates a second position of the tag in the clinical environment based on second times at which second receivers received a second wireless signal from the tag. The system determines that a boundary is located between the first position and the second position, defines a path range around the first position of the tag based on an expected movement of the tag during a time interval between the first and second wireless signals, determines that the boundary lacks a door within the path range, adjusts the second position of the tag based on the boundary map, and transmits a message indicating that the tag is located at the adjusted position at the second time.