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A Method And A System For Assisting Adviser During User Evaluation

Abstract: A method and a system are described for assisting an adviser during user evaluation using a medical data processing system. The method includes classifying a medical record of a user into a plurality of data-segments based on a plurality of data layers. The method includes tagging the plurality of data-segments with associated data-segment parameters where the associated data-segment parameters indicates a context of each of the plurality of data segments. The method further includes determining one or more data-segments of the plurality of data-segments, in response to a conversation, wherein the one or more data-segments are determine based on a comparison of the context of each of the plurality of data segments with a context of the conversation. Further, the method includes rendering the determined one or more data-segments to the adviser based on the comparison. Fig. 2

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Notices, Deadlines & Correspondence

Patent Information

Application #
Filing Date
29 December 2018
Publication Number
27/2020
Publication Type
INA
Invention Field
BIO-MEDICAL ENGINEERING
Status
Email
bangalore@knspartners.com
Parent Application
Patent Number
Legal Status
Grant Date
2023-08-23
Renewal Date

Applicants

WIPRO LIMITED
Doddakannelli, Sarjapur Road, Bangalore

Inventors

1. MANJUNATH RAMACHANDRA IYER
80, Sadhana, 2nd Main, BSK 3rd Stage, Katriguppe East, Bangalore 560085x

Specification

Claims:WE CLAIM:
1. A method of assisting an adviser during user evaluation, the method comprising:
classifying, by a medical data processing system, a medical record of a user into a plurality of data-segments based on a plurality of data layers, wherein the plurality of data layers includes a public data layer, a shareable-with-consent data layer and a private data layer;
tagging, by the medical data processing system, the plurality of data-segments with one or more associated data-segment parameters, wherein the one or more associated data-segment parameters include at least one of one or more keywords, medical disorders, adviser s, therapy prescribed, a start date and an end date associated with the therapy, and clinical tests undergone, wherein the one or more associated data-segment parameters indicates a context of each of the plurality of data segments;
determining, by the medical data processing system, one or more data-segments of the plurality of data-segments, in response to a conversation, wherein the one or more data-segments are determined based on a comparison of the context of each of the plurality of data segments with a context of the conversation.
rendering, by the medical data processing system, the determined one or more data-segments to the adviser based on the comparison.

2. The method of claim 1, further comprising a classifier to classify the plurality of data segments into each of the public data layer, the shareable-with-consent data layer and the private data layer.

3. The method of claim 2, further comprising classifying the plurality of data segments is based on repetition of occurrence of the plurality of data segments in the medical record.

4. The method of claim 1, wherein the conversation generated is based on at least a face to face conversation, or a tele-conversation or a natural language processing conversation with the medical data processing system.

5. The method of claim 1, wherein determination of the one or more data-segments is based on:
parsing the conversation into at least one or more words or phrases; and
comparing the at least one or more words or phrases with the one or more associated data-segment parameters.

6. The method of claim 1, further comprising updating the medical record based on the adviser’s evaluation of the user.

7. A medical data processing system for assisting an adviser during user evaluation, the medical data processing system comprising:
a processor; and
a memory communicatively coupled to the processor, wherein the memory stores processor executable instructions, which on execution causes the processor to:
classify a medical record of a user into a plurality of data-segments based on a plurality of data layers, wherein the plurality of data layers includes a public data layer, a shareable-with-consent data layer and a private data layer, using a classifier;
tag the plurality of data-segments with one or more associated data-segment parameters, wherein the one or more associated data-segment parameters include at least one of one or more keywords, medical disorders, adviser, therapy prescribed, a start date and an end date associated with the therapy, and clinical tests undergone, wherein the one or more associated data-segment parameters indicates a context of each of the plurality of data segments;
determine one or more data-segments of the plurality of data-segments, in response to a conversation, wherein the one or more data-segments are determined based on a comparison of the context of each of the plurality of data segments with a context of the conversation.
render the determined one or more data-segments to the adviser based on the comparison.

8. The medical data processing system of claim 7, further comprising classifying the plurality of data segments is based on repetition of occurrence of the plurality of data segments in the medical record and wherein determination of the one or more data-segments is based on:

parsing the conversation into at least one or more words or phrases; and
comparing the at least one or more words or phrases with the one or more associated data-segment parameters.

9. The medical data processing system of claim 7, wherein the conversation generated is based on at least a face to face conversation, or a tele-conversation or a natural language processing conversation with the medical data processing system.

10. The medical data processing system of claim 7, further comprising updating the medical record based on the adviser ’s evaluation of the user.

Dated this 29th day of December, 2018

Naveen Suriya
Of K&S Partner
Agent for the Applicant
IN/PA-1419
, Description:TECHNICAL FIELD
The present subject matter is related, in general, to healthcare informatics and more specifically, but not exclusively, to a method and a system for assisting adviser during user evaluation.

Documents

Application Documents

# Name Date
1 201841049823-STATEMENT OF UNDERTAKING (FORM 3) [29-12-2018(online)].pdf 2018-12-29
2 201841049823-REQUEST FOR EXAMINATION (FORM-18) [29-12-2018(online)].pdf 2018-12-29
3 201841049823-POWER OF AUTHORITY [29-12-2018(online)].pdf 2018-12-29
4 201841049823-FORM 18 [29-12-2018(online)].pdf 2018-12-29
5 201841049823-FORM 1 [29-12-2018(online)].pdf 2018-12-29
6 201841049823-DRAWINGS [29-12-2018(online)].pdf 2018-12-29
7 201841049823-DECLARATION OF INVENTORSHIP (FORM 5) [29-12-2018(online)].pdf 2018-12-29
8 201841049823-COMPLETE SPECIFICATION [29-12-2018(online)].pdf 2018-12-29
9 201841049823-Request Letter-Correspondence [04-01-2019(online)].pdf 2019-01-04
10 201841049823-Power of Attorney [04-01-2019(online)].pdf 2019-01-04
11 201841049823-Form 1 (Submitted on date of filing) [04-01-2019(online)].pdf 2019-01-04
12 201841049823-Proof of Right (MANDATORY) [07-05-2019(online)].pdf 2019-05-07
13 Correspondence by Agent_Proof of Right_10-05-2019.pdf 2019-05-10
14 201841049823-PETITION UNDER RULE 137 [22-09-2021(online)].pdf 2021-09-22
15 201841049823-OTHERS [22-09-2021(online)].pdf 2021-09-22
16 201841049823-Information under section 8(2) [22-09-2021(online)].pdf 2021-09-22
17 201841049823-FORM 3 [22-09-2021(online)].pdf 2021-09-22
18 201841049823-FER_SER_REPLY [22-09-2021(online)].pdf 2021-09-22
19 201841049823-DRAWING [22-09-2021(online)].pdf 2021-09-22
20 201841049823-COMPLETE SPECIFICATION [22-09-2021(online)].pdf 2021-09-22
21 201841049823-CLAIMS [22-09-2021(online)].pdf 2021-09-22
22 201841049823-FER.pdf 2021-10-17
23 201841049823-PatentCertificate23-08-2023.pdf 2023-08-23
24 201841049823-IntimationOfGrant23-08-2023.pdf 2023-08-23
25 201841049823-PROOF OF ALTERATION [15-11-2023(online)].pdf 2023-11-15

Search Strategy

1 searchAE_17-02-2022.pdf
2 2020-12-1012-16-01E_10-12-2020.pdf

ERegister / Renewals

3rd: 15 Nov 2023

From 29/12/2020 - To 29/12/2021

4th: 15 Nov 2023

From 29/12/2021 - To 29/12/2022

5th: 15 Nov 2023

From 29/12/2022 - To 29/12/2023

6th: 15 Nov 2023

From 29/12/2023 - To 29/12/2024

7th: 18 Dec 2024

From 29/12/2024 - To 29/12/2025