Infection risk and illness alerting method

Patent metadata

Field	Value
Publication number	US-11826180-B2
Application number	US-202217985530-A
Country	US
Kind code	B2
Filing date	Nov 11, 2022
Priority date	Oct 10, 2013
Publication date	Nov 28, 2023
Grant date	Nov 28, 2023

Abstract

A method, system, and/or apparatus for automatically monitoring for possible infection or other physical health concerns, such as from Covid-19. The method or implementing software application uses or relies upon location information available on the mobile device from any source, such as cell phone usage and/or other device applications. The method and system automatically uses and/or learns user location and activity patterns and determines and infection risk or illness-based deviation that can be communicated as a warning to community members.

First claim

What is claimed is:

1. A method of determining infection risks for individuals during an epidemic or pandemic, the method executed by a computer system and comprising:
automatically determining positional destinations of a user using a first mobile electronic device of the user;
automatically determining context information about each of the positional destinations without input by the user;
automatically deducing as user information a location type and/or user activity of each of the positional destinations from the context information, wherein the user activity comprises an eating activity or an exercise activity, and with any one or more community members;
automatically learning activity patterns at the positional destinations from the user information;
assigning a user risk assessment to the user according to locations and/or activities of the user during a predetermined timeframe, wherein the user risk assessment is a compilation of a plurality of risk metrics determined for the locations and/or activities during the predetermined time period, and the predetermined timeframe is at least a predetermined incubation or latency period of a contagion or pathogen;
providing the user risk assessment to a community member via a community member electronic device before an in-person meeting with the user, wherein the user risk assessment is automatically displayed to the community member upon an electronic meeting request and/or the in-person meeting being entered into an electronic calendar;
automatically determining a deviation in the learned activity patterns during or after the predetermined timeframe from further monitoring of further user locations or further user activities;
automatically analyzing the deviation to identify a significance of the deviation;
automatically correlating the significance of the deviation to a possible infection condition; and
automatically alerting the first user via the first electronic device or a second user via a second electronic device of the possible infection condition.

2. The method of claim 1 , wherein analyzing the deviation comprises: correlating the deviation to a current location of the first user to identify a temporary change in the learned activity patterns as a function of the current location not allowing for the first user activity at the at least one of the destinations, and/or identifying words and/or ideas from sent or received messages via the first electronic device to identify an explanation for the deviation.

3. A method of determining infection risks for individuals during an epidemic or pandemic, the method executed by a computer system and comprising:
automatically determining positional destinations of a user using a first mobile electronic device of the user;
automatically determining context information about each of the positional destinations without input by the user;
automatically deducing as user information a location type and/or user activity of each of the positional destinations from the context information, wherein the user activity comprises an eating activity or an exercise activity, and with any one or more community members;
automatically learning activity patterns at the positional destinations from the user information;
assigning a user risk assessment to the user according to locations and/or activities of the user during a predetermined timeframe, wherein the predetermined timeframe is at least a predetermined incubation or latency period of a contagion or pathogen;
determining any in-person contact of the user for the each of the locations and/or activities;
obtaining a contact person risk assessment for the in-person contact;
adjusting the user risk assessment as a function of the contact person risk assessment;
providing the user risk assessment to a community member via a community member electronic device before an in-person meeting with the user, wherein the user risk assessment is automatically displayed to the community member upon an electronic meeting request and/or the in-person meeting being entered into an electronic calendar;
automatically determining a deviation in the learned activity patterns during or after the predetermined timeframe from further monitoring of further user locations or further user activities;
automatically analyzing the deviation to identify a significance of the deviation;
automatically correlating the significance of the deviation to a possible infection condition; and
automatically alerting the first user via the first electronic device or a second user via a second electronic device of the possible infection condition.

4. The method of claim 1 , further comprising:
determining a risk metric for each of the locations and/or activities for the first user, to provide a plurality of risk metrics during the predetermined timeframe; and
computing the user risk assessment from the plurality of risk metrics.

5. The method of claim 4 , wherein the risk metric is determined from a predetermined assessment score for each of the location and any activity performed at the location, as a function of time at the location and/or performing the activity.

6. A method of determining infection risks for individuals during an epidemic or pandemic, the method executed by a computer system and comprising:
automatically determining positional destinations of a user using a first mobile electronic device of the user;
automatically determining context information about each of the positional destinations without input by the user;
automatically deducing as user information a location type and/or user activity of each of the positional destinations from the context information, wherein the user activity comprises an eating activity or an exercise activity, and with any one or more community members;
automatically learning activity patterns at the positional destinations from the user information;
assigning a user risk assessment to the user according to locations and/or activities of the user during a predetermined timeframe, wherein the predetermined timeframe is at least a predetermined incubation or latency period of a contagion or pathogen;
determining a risk metric for each of the locations and/or activities for the first user, to provide a plurality of risk metrics during the predetermined timeframe;
computing the user risk assessment from the plurality of risk metrics;
determining a corresponding user participation time for the each of the locations and/or activities;
scaling the risk metric for the each of the locations and/or activities according to the corresponding user participation time;
providing the user risk assessment to a community member via a community member electronic device before an in-person meeting with the user, wherein the user risk assessment is automatically displayed to the community member upon an electronic meeting request and/or the in-person meeting being entered into an electronic calendar;
automatically determining a deviation in the learned activity patterns during or after the predetermined timeframe from further monitoring of further user locations or further user activities;
automatically analyzing the deviation to identify a significance of the deviation;
automatically correlating the significance of the deviation to a possible infection condition; and
automatically alerting the first user via the first electronic device or a second user via a second electronic device of the possible infection condition.

7. The method of claim 4 , wherein the determining the risk metric for the each of the locations and/or activities comprises comparing a location and/or an activity to a predetermined risk scale.

8. The method of claim 4 , further comprising increasing a risk metric of the use

Assignees

• Aura Home Inc

Inventors

• Frieder Ophir
• Chowdhury Abdur
• Jensen Eric

Classifications

• A61B5/746 Primary

  Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms · CPC title

• A61B5/1112

  Global tracking of patients, e.g. by using GPS · CPC title

• A61B5/1118

  Determining activity level · CPC title

• A61B5/1123

  Discriminating type of movement, e.g. walking or running (A61B5/1116, A61B5/112 take precedence) · CPC title

• A61B5/4866

  Evaluating metabolism (using breath test A61B5/083) · CPC title