A triage system that determines whether a user is likely to have contracted a disease based on sensor data received from a user device (e.g., a smartphone or activity tracker). Each symptom is identified by comparing sensor data to a predetermined baseline and comparing the difference to a predetermined symptom threshold. Because direct measurement of symptoms using the sensors available to the user may not be feasible or sufficiently accurate, the triage system also uses surrogates the identify certain symptoms. For example, a fever may be identified using heart data, a cough or shortness of breath may be identified by analyzing recorded sound, fatigue may be identified by analyzing the movement of the user device, and loss of smell or taste may be identified by recording sound and using speech detection algorithms to identify phrases in the recorded sound indicative of loss of smell or taste.
Claim CLM-00001. 1. A computer implemented method for determining whether a user is likely to have contracted a disease, the method comprising:
receiving sensor data from a user device; receiving and storing locations of the user device; for each of a plurality of symptoms of the disease, calculating a symptom metric indicative of the likelihood that the user is experiencing the symptom, wherein:
at least some of the plurality of symptom metrics are calculated by comparing the sensor data to a predetermined baseline and comparing a difference between the sensor data and the predetermined baseline to at least one predetermined symptom threshold;and at least one of the symptoms is anosmia or ageusia and the symptom metric indicative of the likelihood that the user is experiencing anosmia or ageusia is determined by analyzing sound recorded by a microphone using a speech detection algorithm to identify phrases in the recorded sound indicative of anosmia or ageusia;
weighing each of the symptom metrics to form a composite metric indicative of the likelihood that the user is likely to have contracted the disease; determining whether the user is likely to have contracted the disease by comparing the composite metrics to one or more predetermined composite thresholds; and in response to a determination that the user is likely to have contracted the disease, identifying additional devices in the location of the user device and outputting information to the users of the additional devices.
Claim CLM-00011. 11. A system for determining whether a user is likely to have contracted a disease, the method comprising:
a server in network communication with a user device; a software application that is downloadable to and executable by the user device; non-transitory computer readable storage media storing instructions that, when executed by the server and/or the user device, cause the system to:
receive data from the user device;store locations of the user device;for each of a plurality of symptoms of the disease, calculate a symptom metric indicative of the likelihood that the user is experiencing the symptom, wherein:
at least some of the plurality of symptom metrics are calculated by comparing the sensor data to a predetermined baseline and comparing a difference between the sensor data and the predetermined baseline to at least one predetermined symptom threshold; andat least one of the symptoms is anosmia or ageusia and the symptom metric indicative of the likelihood that the user is experiencing anosmia or ageusia is determined by analyzing sound recorded by a microphone using a speech detection algorithm to identify phrases in the recorded sound indicative of anosmia and ageusia;weigh each of the symptom metrics to form a composite metric indicative of the likelihood that the user is likely to have contracted the disease;determine whether the user is likely to have contracted the disease by comparing the composite metrics to one or more predetermined composite thresholds; andin response to a determination that the user is likely to have contracted the disease, identify additional devices in the location of the user device and outputting information to the users of the additional devices.
