IP Library Patent Application 16799978
Patent Application
App. No. 16/799,978

MANAGING INTERVENTION CHARACTERISTICS FOR REMOTE HEALTH SERVICES

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Quick Facts
Patent No.
US None
App. No.
16/799,978
Abstract

Remotely providing a health service to a person includes predefining a plurality of analysis types, predefining a rule specifying a condition under which to apply the plurality of analysis types, performing the health service on the person, selecting the analysis type to perform based on the rule and information about the person, performing a type of analysis on the information to determine what interventions to be undertaken based on the information as part of performing the health service, and remotely communicating a determined intervention to the person. Each analysis type represents a type of analysis to be performed on information about the person to determine an intervention as part of providing a health service. The intervention may include altering a health treatment administered to the person as part of the health service. The analysis type may be autonomous based on machine learning and/or based on predefined rules.

Claims (40)

1 . A method of remotely providing a first health service to a person for a health condition, comprising:

predefining a plurality of analysis types, each analysis type representing a type of analysis to be performed on information about the person to determine an intervention as part of providing a health service;

predefining a first rule specifying a condition under which to apply a first of the plurality of analysis types;

performing the first health service on the person, including detecting health values of one or more health metrics of the person associated with performance of the first health service;

selecting the first analysis type to perform based on the first rule and information about the person, including the health values;

performing a first type of analysis on the information to determine what interventions to be undertaken based on the information as part of performing the first health service; and

remotely communicating a determined intervention to the person.

2 . The method of claim 1 , wherein a part of the first health service is performed by a first health device locally coupled to the person, the method further comprising:

the first health device detecting the health values and transmitting the health values to a second device remotely located from the first health device, wherein the second device remotely communicates the determined intervention to the first health device, and the first health device performs a first action based on the remote communication.

3 . The method of claim 2 , wherein the intervention includes altering a health treatment administered to the person as part of the first health service.

4 . The method of claim 2 , further comprising:

predefining a plurality of communication types, including a notification, an instruction, an inquiry, feedback, a live conversation and an automated conversation, wherein performing the first type of analysis on the information includes determining a first communication type from among the plurality of communication types for the communication, and wherein the intervention is remotely communicated as a communication of the first communication type.

5 . The method of claim 1 , further comprising:

predefining a plurality of media types, including text, audio, images and video, wherein performing the first type of analysis on the information includes determining one or more of the plurality of media types with which to communicate with the person, and wherein the intervention is remotely communicated to the person using the media types.

6 . The method of claim 1 , wherein the first analysis type is autonomous analysis based on machine learning.

7 . The method of claim 1 , wherein the first analysis type is autonomous analysis based on predefined rules.

8 . A system for remotely providing a first health service to a person for a health condition based on remotely detected values of health metrics of the person associated with performance of the first health service, the system comprising:

one or more processors; and

a memory having code stored thereon that, when executed, predefines a plurality of analysis types, each analysis type representing a type of analysis to be performed on information about the person to determine an intervention as part of providing a health service, predefines a first rule specifying a condition under which to apply a first of the plurality of analysis types, selects the first analysis type to perform based on the first rule and on information about the person, including the one or more detected values, performs a first type of analysis on the information to determine what interventions to be undertaken based on the information as part of performing the first health service, and remotely communicates a determined intervention to the person.

9 . The system of claim 8 , wherein a part of the first health service is performed by a first health device locally coupled to the person and wherein the first health device detects the detected values and transmits the one or more detected values to a second device remotely located from the first health device, the second device remotely communicating the determined intervention to the first health device, and the first health device performing a first action based on the remote communication.

10 . The system of claim 9 , wherein the determined intervention includes altering a health treatment administered to the person as part of the first health service.

11 . The system of claim 9 , wherein a plurality of communication types are predefined to include a notification, an instruction, an inquiry, feedback, a live conversation and an automated conversation and wherein performing the first type of analysis on the information includes determining a first communication type from among the plurality of communication types for the communication, the determined intervention being remotely communicated as a communication of the first communication type.

12 . The system of claim 8 , wherein a plurality of media types are predefined to include text, audio, images and video and wherein performing the first type of analysis on the information includes determining one or more of the plurality of media types with which to communicate with the person, the determined intervention being remotely communicated to the person using the media types.

13 . The system of claim 8 , wherein the first analysis type is autonomous analysis based on machine learning.

14 . The system of claim 8 , wherein the first analysis type is autonomous analysis based on predefined rules.

15 . Non-transitory computer-readable media having software stored thereon that remotely provides a health service to a person for a health condition based remotely detected values of health metrics of the person associated with performance of the health service, the software comprising:

executable code that defines a plurality of analysis types, each analysis type representing a type of analysis to be performed on information about the person to determine an intervention as part of providing the health service;

executable code that defines a first rule specifying a condition under which to apply a first of the plurality of analysis types;

executable code that selects the first analysis type to perform based on the first rule and on information about the person, including the one or more detected values;

executable code that performs a first type of analysis on the information to determine what interventions to be undertaken based on the information as part of performing the first health service; and

executable code that remotely communicates a determined intervention to the person.

16 . The non-transitory computer-readable media of claim 15 , wherein at least part of the first health service is performed by a first health device locally coupled to the person, the software further comprising:

executable code that controls the first health device to detect the values and transmits the values to a second device remotely located from the first health device, wherein the second device remotely communicates the determined intervention to the first health device, and the first health device performs an action based on the remote communication.

17 . The non-transitory computer-readable media of claim 16 , wherein the first intervention includes altering a health treatment administered to the person as part of the first health service.

18 . The non-transitory computer-readable media of claim 16 , the software further comprising:

executable code that predefines a plurality of communication types, including a notification, an instruction, an inquiry, feedback, a live conversation and an automated conversation, wherein performing the first type of analysis on the information includes determining a first communication type from among the plurality of communication types for the communication, and wherein the determined intervention is remotely communicated as a communication of the first communication type.

19 . The non-transitory computer-readable media of claim 15 , the software further comprising:

executable code that predefines a plurality of media types, including text, audio, images and video, wherein performing the first type of analysis on the information includes determining one or more of the plurality of media types with which to communicate with the person, and wherein the at least first intervention is remotely communicated to the person using the one or more media types.

20 . The non-transitory computer-readable media of claim 15 , wherein the first analysis type is autonomous analysis based at least in part on machine learning.

21 .- 150 . (canceled)

Assignments (3)
CONFIRMATORY GRANT OF SECURITY INTEREST IN UNITED STATES PATENTS Recorded Jul 18, 2025
From: TELADOC HEALTH, INC.
To: JPMORGAN CHASE BANK, N.A.
Reel/Frame 072066/0931 →
NUNC PRO TUNC ASSIGNMENT Recorded Dec 28, 2021
From: LIVONGO HEALTH, INC.
To: TELADOC HEALTH, INC.
Reel/Frame 058595/0554 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 25, 2020
From: BOULOS, MICHAEL ISKANDER; ENGBERG, DAVID; KAPPAGANTHU, KARTHIK; KENDALE, AMAR; SCHEP, ALICIA NATHALIE; TOWNLEY-SMITH, EMMA
To: LIVONGO HEALTH, INC.
Reel/Frame 051914/0163 →