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Publication Number
US-10993658-B2
Publication Date
2021-05-04
Expiration Date
Abstract
Systems and methods of monitoring a patient. Exemplary methods include receiving sensor data associated with the patient from a plurality of sensors of a patient monitoring device and determining whether the sensor data satisfies one or more trigger conditions. For each of the trigger conditions satisfied, one or more messages are sent to at least one of the patient monitoring device and an external computing device for display thereby to at least one of the patient, a caregiver, and a support person. Satisfaction of one or more of the trigger conditions may indicate the patient has edema and/or is trending toward decompensation. The sensor data may have been collected from a heart rate sensor, an oximeter, an accelerometer, and/or a sensor configured to detect a distance around a limb of a patient. In some embodiments, the trigger conditions are provided by the patient, caregiver, and/or support person.
Core Innovation
A computer-implemented method of managing heart failure receives feedback information comprising sensor data of a current state of a patient from a plurality of sensors of a patient monitoring device associated with a device identifier. The patient monitoring device measures distances at one or more locations around a limb of the patient, and the method generates a model of the limb based at least on one or more measured circumferences recorded in a patient record associated with the patient monitoring device, including a minimum circumference of the limb.
The method determines whether the sensor data satisfies one or more trigger conditions based at least on a comparison of the feedback information and reference information associated with the patient. The reference information comprises the minimum circumference of the limb and, in another aspect, a trend baseline and a swelling threshold value, and the feedback information comprises a measured circumference of the limb. For each trigger condition determined to be satisfied, the method generates an event driven message comprising instructions to the patient based at least on the current state of the patient and the patient record.
The method displays the event driven message on at least one of the patient monitoring device associated with the device identifier and an external computing device displayable thereby to at least one of the patient, a caregiver, and a support person. In another aspect, the method obtains plurality measurements of distances around a limb, generates a trend baseline based on the plurality of measurements, receives at least one new measurement, and determines whether the patient's limb has swelled by more than the swelling threshold value.
Claims Coverage
The provided material includes three independent claims. Across these, the main inventive features include limb distance and circumference measurement with a patient record, limb modeling with a minimum circumference, trigger-condition satisfaction based on comparison to reference information, event-driven messaging displayed to patient, caregiver, or support person, and trend baseline and swelling-threshold evaluation.
Limb model from measured circumferences including a minimum circumference
Generating a model of the limb of the patient based at least on one or more measured circumferences of the limb recorded in a patient record associated with a patient monitoring device, the one or more measured circumferences of the limb comprising a minimum circumference of the limb.
Trigger-condition satisfaction via comparison of feedback and reference information
Determining whether the sensor data satisfies one or more trigger conditions based at least on a comparison of the feedback information and reference information associated with the patient, the feedback information comprising a measured circumference of the limb and the reference information comprising the minimum circumference of the limb recorded in the patient record associated with the patient monitoring device.
Event driven patient instructions generated for satisfied trigger conditions
For each of the one or more trigger conditions determined to be satisfied, generating an event driven message comprising instructions to the patient based at least on the current state of the patient and the patient record.
Display of event driven message on patient monitoring and external computing device
Displaying the event driven message on at least one of the patient monitoring device associated with the device identifier and an external computing device displayable thereby to at least one of the patient, a caregiver, and a support person.
Trend baseline from plurality of distance measurements around a limb
Generating a trend baseline based at least on the plurality of measurements of the distances around the limb of the patient.
Swelling determination based on trend baseline and swelling threshold
Receiving reference information comprising the trend baseline and a swelling threshold value of the limb; and determining whether the patient's limb has swelled by more than the swelling threshold value based at least on the trend baseline and the at least one new measurement.
Threshold-associated message displayed when swelling exceeds the threshold
If it is determined the patient's limb has swelled by more than the swelling threshold value, displaying a message associated with the swelling threshold value on at least one of the patient monitoring device associated with the device identifier and an external computing device displayable thereby to at least one of the patient, the caregiver, and the support person indicating the patient's limb has swelled by more than the swelling threshold value.
Non-transitory computer-readable media for generating and displaying event driven messages
Storing computer-executable instructions that upon execution cause one or more computing devices to perform acts comprising receiving feedback information comprising sensor data of a current state of a patient from a plurality of sensors of a patient monitoring device associated with a device identifier; generating a model of the limb of the patient based at least on one or more measured circumferences of the limb, the one or more measured circumferences of the limb comprising a minimum circumference of the limb; determining whether the sensor data satisfies one or more trigger conditions based at least on a comparison of the feedback information and reference information associated with the patient; for each of the one or more trigger conditions determined to be satisfied, generating an event driven message comprising instructions to the patient; and displaying the event driven message on at least one of the patient monitoring devices associated with the device identifier and an external computing device displayable thereby to at least one of the patient, a caregiver, and a support person.
Across the independent claims, the coverage centers on measuring distances around a limb and using measured circumferences to generate a limb model including a minimum circumference, determining trigger satisfaction by comparing feedback information to patient-associated reference information, and generating event driven instructions that are displayed to the patient and/or caregiver/support. A separate independent claim additionally evaluates limb swelling using a trend baseline and a swelling threshold, with display of a message when swelling exceeds the threshold.
Stated Advantages
Provides event driven messages comprising instructions to the patient when one or more trigger conditions are determined to be satisfied.
Displays messages on at least one of the patient monitoring device and an external computing device for at least one of the patient, a caregiver, and a support person.
Determines whether a patient's limb has swelled by more than a swelling threshold value based on a trend baseline and new measurements.
Documented Applications
Heart-failure management using a patient monitoring device that measures distances around a limb and a computer-implemented method that generates and displays event driven messages and instructions based on trigger conditions.
Peripheral edema indication and trending toward decompensation based on trigger conditions in a heart-failure monitoring context.
Swelling monitoring by generating a trend baseline and determining whether a patient's limb has swelled by more than a swelling threshold value, with a displayed message when exceeded.
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