US 11,232,869 B2 · Detecting infection using personalized criteria

Abstract

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). Some symptoms are identified by comparing sensor data to a predetermined baseline and comparing the difference to a predetermined symptom threshold. Those comparisons are weighted to form a composite metric, which is compared to a composite threshold to determine if the user is likely to have contracted the disease. Because different individuals are at higher risk of contracting certain diseases, the determined based on specific characteristics of the user (e.g., potential comorbidities, age, gender, ethnic, racial, cultural, or economic status, geographic location, level of interaction with other individuals, etc.) that that have been identified in medical literature as increasing the individual's risk.

Claims24

Dependent claims

A computer implemented method for determining whether a user is likely to have contracted a communicable disease, the method comprising:

identifying one or more personal characteristics of a user indicative of an increased likelihood of contracting the communicable disease;
receiving sensor data from a user device;
for each of a plurality of symptoms of the communicable disease, calculating a symptom metric indicative of the likelihood that the user is experiencing the symptom, wherein at least one of the plurality of symptom metrics is 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 symptom threshold;
weighing each of the symptom metrics to form a composite metric indicative of the likelihood that the user is likely to have contracted the communicable disease;
identifying a composite threshold for determining if the user is likely to have contracted the communicable disease based on the one or more personal characteristics of the user;
and
determining whether the user is likely to have contracted the disease by comparing the composite metric to the composite threshold.

4 more elements

A system for determining whether a user is likely to have contracted a communicable 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:
identify one or more personal characteristics of a user indicative of an increased likelihood of contracting the communicable disease;
receive sensor data from the user device;
for each of a plurality of symptoms of the corn communicable disease, calculate a symptom metric indicative of the likelihood that the user is experiencing the symptom, wherein at least one of the plurality of symptom metrics is 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 symptom threshold;
weigh each of the symptom metrics to form a composite metric indicative of the likelihood that the user is likely to have contracted the communicable disease;
identify a composite threshold for determining if the user is likely to have contracted the communicable disease based on the one or more personal characteristics of the user;
and
determine whether the user is likely to have contracted the communicable disease by comparing the composite metric to the composite threshold.

7 more elements

Dependencies are inferred from the claim text.

Detecting infection using personalized criteria

Life of this patent

Detecting infection using personalized criteria

Life of this patent

Abstract

Claims24