GB2612931A - A computer-implemented method for providing care - Google Patents

A computer-implemented method for providing care Download PDF

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Publication number
GB2612931A
GB2612931A GB2302625.5A GB202302625A GB2612931A GB 2612931 A GB2612931 A GB 2612931A GB 202302625 A GB202302625 A GB 202302625A GB 2612931 A GB2612931 A GB 2612931A
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GB
United Kingdom
Prior art keywords
user
input
output
dialogue
reply
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
GB2302625.5A
Other versions
GB202302625D0 (en
Inventor
Blackwell Andrew
Barbara Tangen Danah
Ewbank Michael
Fabian James Clelford Thomas
Valentin Tablan Mihai
Gentile Jennifer
Nicole Buchholz Sabine
Freer Stephen
Maria Ferreira Paradela Catarino Wingfield Ana
Patrick Cummins Ronan
Mehew Shaun
Marshall Emily
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Ieso Digital Health Ltd
Original Assignee
Ieso Digital Health Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from GBGB2109185.5A external-priority patent/GB202109185D0/en
Priority claimed from GB2204292.3A external-priority patent/GB2616912A/en
Application filed by Ieso Digital Health Ltd filed Critical Ieso Digital Health Ltd
Priority claimed from PCT/GB2022/051629 external-priority patent/WO2022269286A1/en
Publication of GB202302625D0 publication Critical patent/GB202302625D0/en
Publication of GB2612931A publication Critical patent/GB2612931A/en
Pending legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/70—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mental therapies, e.g. psychological therapy or autogenous training
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/30—Semantic analysis
    • G06F40/35—Discourse or dialogue representation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/40—Processing or translation of natural language
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/20—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H70/00—ICT specially adapted for the handling or processing of medical references
    • G16H70/20—ICT specially adapted for the handling or processing of medical references relating to practices or guidelines
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

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  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • Theoretical Computer Science (AREA)
  • Epidemiology (AREA)
  • Primary Health Care (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Computational Linguistics (AREA)
  • Artificial Intelligence (AREA)
  • Databases & Information Systems (AREA)
  • Pathology (AREA)
  • Data Mining & Analysis (AREA)
  • Biomedical Technology (AREA)
  • Child & Adolescent Psychology (AREA)
  • Developmental Disabilities (AREA)
  • Hospice & Palliative Care (AREA)
  • Psychiatry (AREA)
  • Psychology (AREA)
  • Social Psychology (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

A conversational agent is provided for maintaining or improving the wellbeing of a user presenting with mental health needs by the delivery of a care protocol. The conversational agent comprises: a plurality of sub-dialogue units, each configured to deliver an element of the care protocol, and an orchestrator configured to present the sub-dialogue units to the user, sequentially, wherein each sub-dialogue unit and the orchestrator comprises: a natural language understanding module configured to receive an input and/or reply and determine at least one intent and, where present, at least one slot within the input and/or reply; a dialogue planning module configured to determine an output based, at least in part, on the at least one intent and/or slot associated within the input and/or reply, and a natural language generation module configured to provide the output to the user.

Claims (25)

1. A conversational agent for maintaining or improving the wellbeing of a user presenting with mental health needs by the delivery of a care protocol, the conversational agent comprising: a plurality of sub-dialogue units, each configured to deliver an element of the care protocol; and an orchestrator configured to present the sub-dialogue units to the user, sequentially, wherein each sub-dialogue unit and the orchestrator comprises: a natural language understanding module configured to receive an input and/or reply and determine at least one intent and, where present, at least one slot within the input and/or reply; a dialogue planning module configured to determine an output based, at least in part, on the at least one intent and/or slot associated within the input and/or reply, and a natural language generation module configured to provide the output to the user.
2. The conversational agent according to claim 1, wherein the care protocol is a clinical protocol.
3. The conversational agent according to claim 1 or claim 2, wherein the care protocol is a transdiagnostic CBT protocol.
4. The conversational agent according to any one of claims 1 to 3, wherein the conversational agent comprises in excess of ten sub-dialogue units.
5. The conversational agent according to any one of claims 1 to 4, wherein the orchestrator is configured to select which sub-dialogue unit is presented to the user.
6. The conversational agent according to any one of claims 1 to 5, further comprising a risk assessment sub-dialogue unit which comprises a natural language understanding module configured to receive an input and/or reply for a user and analyse the input to determine, if present within the input and/or reply, at least one intent indicating a risk and, where present, at least one slot within the input and/or reply.
7. The conversational agent according to claim 6, wherein the risk assessment sub-dialogue unit is configured to receive and analyse all inputs from the user.
8. The conversational agent according to claim 6 or claim 7, wherein the risk assessment sub dialogue unit further comprises a dialogue planning module configured to determine an output based, at least in part, on the at least one intent and/or slot associated within the input and/or reply, and a natural language generation module configured to provide the output to the user.
9. The conversational agent according to any one of claims 6 to 8, wherein the risk assessment sub dialogue unit is configured to identify whether one or more intents identified in each user input and/or reply correspond to a predetermined list of intents associated with risk.
10. The conversational agent according to any one of claims 6 to 9, further comprising an adjudicator configured to identify each sub-dialogue unit comprising a natural language understanding module that identifies and intent; determine which of the identified sub-dialogue units meets a predetermined criterion; and select the sub-dialogue unit that meets the predetermined criterion such that only the selected sub-dialogue unit determines and provides an output to the user in response to each input.
11. The conversational agent according to claim 10, wherein the adjudicator is configured to enable the risk assessment sub-dialogue unit to provide an output to the user, where an intent relating to risk is identified.
12. A computer-based system for maintaining or improving the wellbeing of a user presenting with mental health needs, the system comprising a conversational agent according to any one of claims 1 to 11, and a treatment model module configured to provide a computer-readable representation of a treatment protocol.
13. The system according to claim 12, further comprising a dialogue history module configured to store previous inputs, outputs and, where present, replies.
14. The system according to claim 12 or claim 13, further comprising a user data module configured to store information about the user.
15. The system according to any of claims 12 to 14, further comprising a content module configured to store predefined data for providing to the user.
16. A computer-implemented method for maintaining or improving the wellbeing of a user presenting with mental health needs, the method comprising: receiving an input from a user; analysing the input using a natural language understanding module configured to determine at least one intent and, where present, at least one slot within the input; determining an output using a dialogue planning module, wherein the output is based, at least in part, on the at least one intent and/or slot associated with the input; providing the output to the user using a natural language generation module; and receiving, in response to the output, a reply from the user.
17. The method according to claim 16, further comprising: determining a user engagement level, wherein the output is based, at least in part, on the user engagement level.
18. The method according to claim 17, further comprising: determining if the user engagement level is below a predetermined threshold; and sending an alert to a second user upon determining a user engagement level below the predetermined threshold.
19. The method according to claim 18, wherein after having received the alert, the second user provides a second output to the user and/or amends the output determined by the dialogue planning module.
20. The method according to claim 19, further comprising: reviewing, using the natural language understanding module, the second output and/or amended output and providing, using the dialogue planning module, further amendments to the second output and/or amended output where needed.
21. The method according to claim 16 or claim 17, wherein the method is entirely autonomous.
22. The method according to any one of claims 16 to 21, further comprising: reviewing a memory configured to store at least one event, wherein each event comprises: an intent and, where present, at least one slot corresponding to a previous input; a previous output corresponding to the previous input, and where present, a previous reply received in response to the previous output, wherein the output is based, at least in part, on an event stored within the memory.
23. The method according to any one of claims 16 to 22, wherein the output is based, at least in part, on at least one of: the next stage in a psychotherapy treatment model for the user; the need to obtain a piece of information from the user; the piece of information required next from the user; a question contained within the input; the frequency of questions contained within the input; the frequency of questions generated by the natural language generation module; the amount of repetition within an input compared to a previous input or reply; and the amount of repetition within an output compared to a previous output.
24. The method according to any one of claims 16 to 23, wherein the input, output and/or reply is written, audio and/or visual.
25. The method according to any one of claims 16 to 24, wherein the method further comprises: alerting a second user in response to: determining when the input and/or reply is outside of a predetermined treatment model; or determining when the natural language understanding module is unable to determine the intent or, where present, slot associated with the input.
GB2302625.5A 2021-06-25 2022-06-24 A computer-implemented method for providing care Pending GB2612931A (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
GBGB2109185.5A GB202109185D0 (en) 2021-06-25 2021-06-25 A computer-implemented method for providing care
GB2204292.3A GB2616912A (en) 2022-03-25 2022-03-25 A pet litter pickup device
PCT/GB2022/051629 WO2022269286A1 (en) 2021-06-25 2022-06-24 A computer-implemented method for providing care

Publications (2)

Publication Number Publication Date
GB202302625D0 GB202302625D0 (en) 2023-04-12
GB2612931A true GB2612931A (en) 2023-05-17

Family

ID=85794136

Family Applications (1)

Application Number Title Priority Date Filing Date
GB2302625.5A Pending GB2612931A (en) 2021-06-25 2022-06-24 A computer-implemented method for providing care

Country Status (1)

Country Link
GB (1) GB2612931A (en)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20170324868A1 (en) * 2016-05-06 2017-11-09 Genesys Telecommunications Laboratories, Inc. System and method for monitoring progress of automated chat conversations
US20210098110A1 (en) * 2019-09-29 2021-04-01 Periyasamy Periyasamy Digital Health Wellbeing
US20210134179A1 (en) * 2019-10-30 2021-05-06 Happify, Inc. Systems And Methods For Managing Dynamic User Interactions With Online Services For Enhancing Mental Health Of Users
KR20210058449A (en) * 2019-11-14 2021-05-24 주식회사 셀바스에이아이 Apparatus and method for mental healthcare based on artificial intelligence

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20170324868A1 (en) * 2016-05-06 2017-11-09 Genesys Telecommunications Laboratories, Inc. System and method for monitoring progress of automated chat conversations
US20210098110A1 (en) * 2019-09-29 2021-04-01 Periyasamy Periyasamy Digital Health Wellbeing
US20210134179A1 (en) * 2019-10-30 2021-05-06 Happify, Inc. Systems And Methods For Managing Dynamic User Interactions With Online Services For Enhancing Mental Health Of Users
KR20210058449A (en) * 2019-11-14 2021-05-24 주식회사 셀바스에이아이 Apparatus and method for mental healthcare based on artificial intelligence

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