Automated susceptibility identification and alerting in infectious disease outbreaks

One or more non-transitory computer-readable storage media having instructions embodied thereon, the instructions being executable by one or more processors to perform a method for automated susceptibility identification and alerting, the method comprising:

• determining, by a computing device, an occurrence of an outbreak of an infectious disease that is (a) transmittable from one human to another human, and (b) occurring at a particular time or time range and at a particular location;
• in response to determining the occurrence of the outbreak, automatically scanning a plurality of patient records stored in a database for a plurality of patients, the plurality of patient records comprising medical history information for the plurality of patients;
• in response to determining the occurrence of the outbreak, automatically scanning literature sources for susceptibility and risk factors corresponding to the outbreak;
• generating training data, for training a neural network model, from the susceptibility and risk factors;
• training the neural network model, using the training data, to determine when a patient has at least one high risk factor corresponding to the outbreak;
• determining a GPS location of a mobile computing device associated with a patient of the plurality of patients, wherein the GPS location of the mobile computing device is a current location of the mobile computing device as determined by a Global Positioning System;
• responsive to determining that the GPS location of the mobile computing device is within a predetermined range of the particular location of the outbreak:
• determining that the patient, associated with the mobile computing device, is within a predetermined range of the particular location of the outbreak;
• determining, by applying the trained neural network model to the plurality of patient records, that the patient has at least one high risk factor corresponding to the outbreak;
• in response to determining, by the computing device, that (a) the patient is within the predetermined range of the particular location of the outbreak and (b) the patient has at least one high risk factor corresponding to the outbreak, identifying the patient as highly susceptible to the infectious disease;
• and
• in response to identifying the patient as highly susceptible to the infectious disease, automatically transmitting, by the computing device, an escalated alert to at least one computing device associated with the patient;
• wherein the escalated alert comprises a percentage of an increased risk to the outbreak for (a) the patient, with the at least one high risk factor, that is within the predetermined range of the particular location of the outbreak compared to (b) patients who are within the predetermined range of the particular location of the outbreak but do not have the at least one high risk factor.

A system for automated susceptibility identification and alerting, the system comprising:

• one or more processors;
• and
• one or more computer storage media storing computer-useable instructions that, when used by the one or more processors, cause the one or more processors to perform a method, the method comprising:
• determining, by a computing device, an occurrence of an outbreak of an infectious disease that is (a) transmittable from one human to another human, and (b) occurring at a particular time or time range and at a particular location;
• in response to determining the occurrence of the outbreak, automatically scanning a database for electronic medical record (EMR) data for a plurality of patients;
• determining a GPS location of a mobile computing device associated with at least one patient of the plurality of patients, wherein the GPS location of the mobile computing device is a current location of the mobile computing device as determined by a Global Positioning System;
• in response to determining the occurrence of the outbreak, automatically scanning, by the computing device, literature sources for susceptibility and risk factors corresponding to the outbreak;
• generating training data, for training a neural network model, from the susceptibility and risk factors;
• training the neural network model, using the training data, to determine when a patient has at least one high risk factor corresponding to the outbreak;
• based on the GPS location of the mobile computing device and the EMR data, determining that the at least one patient is at a distance above a threshold from the particular location of the outbreak;
• determining, by applying the trained neural network model to the EMR data, that the at least one patient has the at least one high risk factor;
• in response to determining that (a) the at least one patient is at a distance above the threshold from the particular location of the outbreak and (b) the at least one patient has the at least one high risk factor, identifying the at least one patient as highly susceptible to the infectious disease;
• and
• in response to identifying the at least one patient as highly susceptible to the infectious disease, automatically transmitting, by the computing device, an escalated alert to at least one computing device associated with the at least one patient or a caretaker of the patient;
• wherein the escalated alert comprises a percentage of an increased risk to the outbreak for (a) the at least one patient, with the at least one high risk factor, that is within a predetermined range of the particular location of the outbreak compared to (b) patients who are within the predetermined range of the particular location of the outbreak but do not have the at least one high risk factor.