Health maintenance advisory technology

Patent metadata

Field	Value
Publication number	US-2017039336-A1
Application number	US-201514971538-A
Country	US
Kind code	A1
Filing date	Dec 16, 2015
Priority date	Aug 6, 2015
Publication date	Feb 9, 2017
Grant date	—

Abstract

A computing system comprises a client computing device configured to execute a personal assistant application program. The personal assistant application program is configured to receive user data from interaction of a user with the client computing device, user interaction with additional devices, or system networked to the client computing device, to sense a user condition based on the user data received, to analyze the user condition to identify a user health issue, present, via a user interface associated with the client computing device, a suggestion for the user to treat, overcome or improve the user health issue, assess a degree to which the user has followed the suggestion, and modify subsequent suggestions to the user based on the degree to which the suggestion was followed.

First claim

1 . A computing system, comprising:
a wearable client computing device configured to execute a personal assistant application program, the personal assistant application program being configured to:
receive user data from interaction of a user with a biometric sensor of the client computing device or system networked to the client computing device;
sense a user condition based on the user data received;
analyze the user condition to identify a user health issue;
present, via a user interface associated with the client computing device, a suggestion for the user to treat the user health issue;
assess a degree to which the user has followed the suggestion; and
modify subsequent suggestions to the user based on the degree to which the suggestion was followed.

2 . The computing system of claim 1 wherein the personal assistant application program is configured to sense the user condition based on user data pushed from the system networked to the client computing device.

3 . The computing system of claim 1 wherein the biometric sensor is arranged in the client computing device, and wherein the personal assistant application program is configured to sense the user condition via signal from the biometric sensor.

4 . The computing system of claim 3 wherein the client computing device further includes a location sensor, and wherein the personal assistant application program is configured to sense the user condition at least in part by accessing a travel path determined by the location sensor.

5 . The computing system of claim 1 wherein the client computing device is configured to execute an Internet browser, and wherein the personal assistant application program is configured to sense the user condition by accessing a browsing history of the Internet browser.

6 . The computing system of claim 1 wherein the personal assistant application program is configured to sense the user condition by accessing a user calendar.

7 . The computing system of claim 1 wherein the computing system is privy to purchasing activity of the user, and the personal assistant application program is configured to sense the user condition based on the purchasing activity.

8 . The computing system of claim 1 wherein the personal assistant application program is further configured to record the user condition over a period of time to identify a repeating pattern of user behavior, and wherein the health issue is identified based on the user behavior.

9 . The computing system of claim 1 wherein the health issue includes a medical condition.

10 . The computing system of claim 1 wherein the health issue includes an undesired behavior of the user.

11 . The computing system of claim 1 wherein the health issue includes absence of a desired behavior of the user.

12 . The computing system of claim 1 wherein the personal assistant application program is further configured to sense an ancillary condition in an environment of the user and to formulate the suggestion in view of the ancillary condition.

13 . The computing system of claim 1 wherein the user interface includes a display configured to present the suggestion as text and/or imagery.

14 . The computing system of claim 1 wherein the biometric sensor is one of a plurality of biometric sensors of the client computing device or system networked to the client computing device, and wherein the user condition is a composite condition sensed via user data received from the plurality of biometric sensors.

15 . Enacted in a wearable client computing device configured to execute a personal assistant application program and having user interface hardware, a method comprising:
sensing a user condition based on user data received from a biometric sensor; analyzing the user condition to identify a user health issue; formulating a suggestion for the user to treat or improve the user health issue; presenting the suggestion to the user via the user interface hardware; assessing a degree to which the user has followed the suggestion; and assessing persistence of the user health issue by follow-up biometric sensing of the user condition.

16 . The method of claim 15 further comprising modifying subsequent suggestion formulation or presentation based on the assessed persistence of the user health issue.

17 . The method of claim 15 further comprising modifying subsequent suggestion formulation or presentation based on the degree to which the suggestion was followed.

18 . The method of claim 15 wherein sensing the user condition includes executing a personal assistant application program on the client device, and wherein said analyzing, formulating, and presenting include receiving user data in the personal assistant application program from a system networked to the client computing device.

19 . Enacted in a computing system including a plurality of wearable client computing devices, each client computing device configured to execute a personal assistant application program and having user interface hardware, a method comprising:
sensing a user condition of first and second users based on user data received from biometric sensors; analyzing the user condition of the first and second users to identify a health issue common to the first and second users; formulating a first suggestion for the first user and a second suggestion for the second user, to treat the common health issue; presenting the first suggestion to the first user and the second suggestion to the second user, on the client computing devices of the first and second users; comparing persistence of the common health issue in the first and second users by follow-up sensing of the user condition of the first and second users; ranking the first and second suggestions based on efficacy of treating the health issue in the first and second users; presenting the first suggestion to a third user, on the client computing device of the third user, if the first suggestion is ranked higher than the second suggestion; and presenting the second suggestion to the third user, on the client computing device of the third user, if the second suggestion is ranked higher than the first suggestion.

20 . The method of claim 19 wherein the first, second, and third users share a commonality besides the common health issue, and wherein the suggestion is presented to all users sharing that commonality.

Assignees

• Microsoft Technology Licensing Llc

Inventors

• Bitran Hadas
• Holmdahl Todd
• Horvitz Eric
• Tan Desney S
• Schmuland Dennis Paul
• Berns Adam T
• White Ryen William

Classifications

• G16H50/20

  for computer-aided diagnosis, e.g. based on medical expert systems · CPC title

• G16H20/70

  relating to mental therapies, e.g. psychological therapy or autogenous training · CPC title

• H04W4/70

  Services for machine-to-machine communication [M2M] or machine type communication [MTC] · CPC title

• G06Q10/10

  Office automation; Time management · CPC title

• H04B1/385

  Transceivers carried on the body, e.g. in helmets · CPC title