System and method for patient monitoring

1. A computer-implemented method of managing heart failure, comprising:

receiving, at a computing device, 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 measuring distances at one or more locations around a limb of the patient;

generating, by the computing device, 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;

determining, by the computing device, 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;

for each of the one or more trigger conditions determined to be satisfied, generating, by the computing device, an event driven message comprising instructions to the patient based at least on the current state of the patient and the patient record; and

displaying, by the computing device, 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.

2. The computer-implemented method of claim 1 , wherein satisfaction of at least a first trigger condition of the one or more trigger conditions indicates the patient has edema.

3. The computer-implemented method of claim 1 , wherein satisfaction of at least a first trigger condition of the one or more trigger conditions indicates the patient is trending toward decompensation.

4. The computer-implemented method of claim 1 , wherein the sensor data comprises data collected from at least one of a heart rate sensor, an oximeter, an accelerometer, and a sensor configured to detect a distance around the limb of the patient.

5. The computer-implemented method of claim 1 , wherein the event driven message further comprises instructions to be executed by the patient to message additional patients via the external computing device.

6. The computer-implemented method of claim 1 , further comprising:

calculating, by the computing device, a digital signal value based at least on the sensor data; and

determining, by the computing device, a circumference of the limb based at least on the digital signal value and the model of the limb.

7. A computer-implemented method, comprising:

obtaining, at a computing device, from a patient monitoring device associated with a device identifier, a plurality of measurements of distances at one or more locations around a limb of a patient, the plurality of measurements associated with the patient monitoring device, the plurality of measurements of distances comprising a minimum circumference of the limb;

generating, by the computing device, a trend baseline based at least on the plurality of measurements of the distances around the limb of the patient;

obtaining, at the computing device, from the patient monitoring device, at least one new measurement of a distance around the limb of the patient, the at least one new measurement associated with the patient monitoring device;

receiving, at the computing device, reference information comprising the trend baseline and a swelling threshold value of the limb;

providing, via a user interface, to at least one of the patient, a caregiver, and a support person, the reference information;

determining, by the computing device, 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 of the distance around the patient's limb; and

if it is determined the patient's limb has swelled by more than the swelling threshold value, displaying, by the computing device, 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.

8. The computer-implemented method of claim 7 , wherein the message comprises instructions to be executed by the patient based at least on the trend baseline and the at least one new measurement.

9. The computer-implemented method of claim 8 , wherein the instructions comprise a predefined treatment plan.

10. The computer-implemented method of claim 9 , wherein the predefined treatment plan comprises an instruction to modify a dosage of at least one medication.

11. The computer-implemented method of claim 7 , further comprising:

generating, by the computing device, a model of the limb of the patient based at least on the plurality of measurements of distances around the limb;

receiving, at the computing device, sensor data from the patient monitoring device; and

determining, by the computing device, a measurement of the distance around the limb of the patient based at least on the model of the limb and the sensor data.

12. The computer-implemented method of claim 7 , wherein the minimum circumference corresponds to a measurement at a wrist or an ankle of the patient.

13. The computer-implemented method of claim 12 , further comprising:

determining, by the computing device, a circumference differential value based at least on the plurality of measurements of distances around the limb; and

if the circumference differential value is greater than zero, determining, by the computing device, that a position of the patient monitoring device is above the wrist or the ankle.

14. One or more non-transitory computer-readable media 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, the patient monitoring device measuring distances at one or more locations around a limb of the patient;

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, the feedback information comprising a measured circumference of the limb and the reference information comprising the minimum circumference of the limb recorded in a patient record associated with the patient monitoring device;

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; 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.

15. The one or more non-transitory computer-readable media of claim 14 , wherein satisfaction of at least a first trigger condition of the one or more trigger conditions indicates the patient has edema.

16. The one or more non-transitory computer-readable media of claim 14 , wherein satisfaction of at least a first trigger condition of the one or more trigger conditions indicates the patient is trending toward decompensation.

17. The one or more non-transitory computer-readable media of claim 14 , wherein the sensor data comprises data collected from at least one of a heart rate sensor, an oximeter, an accelerometer, and a sensor configured to detect a distance around the limb of the patient.

18. The one or more non-transitory computer-readable media of claim 14 , wherein the instructions include modifying a dosage of at least one medication.

19. The one or more non-transitory computer-readable media of claim 14 , the acts further comprising:

calculating a digital signal value based at least on the sensor data; and

determining a circumference of the limb based at least on the digital signal value and the model of the limb.

20. The one or more non-transitory computer-readable media of claim 14 , the acts further comprising:

generating a trend baseline based at least on the one or more measured circumferences of the limb;

obtaining, from the patient monitoring device, at least one new measurement of a distance around the limb of the patient, the at least one new measurement associated with the patient monitoring device;

receiving reference information comprising the trend baseline and a swelling threshold value of the limb;

providing, via a user interface of at least one of the patient monitoring devices associated with the device identifier and an external computing device, the reference information;

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 of the distance around the patient's limb; and

if it is determined the patient's limb has swelled by more than the swelling threshold value, displaying an additional message associated with the swelling threshold value, 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, the caregiver, and the support person indicating the patient's limb has swelled by more than the swelling threshold value.