Medical survey trigger and presentation
US-2024062856-A1 · Feb 22, 2024 · US
US12245865B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12245865-B2 |
| Application number | US-202117453659-A |
| Country | US |
| Kind code | B2 |
| Filing date | Nov 5, 2021 |
| Priority date | Nov 5, 2021 |
| Publication date | Mar 11, 2025 |
| Grant date | Mar 11, 2025 |
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
What the patent document calls the invention.
A short plain-language summary of the technical disclosure.
Who owns or filed the patent and who is credited as inventor.
Filing, priority, publication, and grant dates set the timeline.
The legal scope of protection — read this for what is actually claimed.
Technology tags used to group this patent with similar filings.
Prior art links and similar publications in this corpus.
Official abstract text for this publication.
In an approach to monitoring and querying autobiographical events, one or more computer processors receive data from one or more sensors associated with a user. Based on the received data from the one or more sensors, one or more computer processors detect an autobiographical event associated with the user. One or more computer processors convert the received data from the one or more sensors into one or more observations associated with the autobiographical event. One or more computer processors convert the one or more observations into one or more questions associated with the one or more observations. One or more computer processors query the user with the one or more questions. One or more computer processors receive at least one response to the one or more questions from the user.
Opening claim text (preview).
What is claimed is: 1. A computer-implemented method comprising: receiving, by one or more computer processors, data from one or more sensors associated with a user; based on the received data from the one or more sensors, detecting, by one or more computer processors, an autobiographical event associated with the user; converting, by one or more computer processors, the received data from the one or more sensors into one or more observations associated with the autobiographical event, wherein the one or more observations are statements describing the autobiographical event, wherein converting the received data into the one or more observations comprises: utilizing natural language processing (NLP) and artificial intelligence (AI) techniques to extract contextual information from the sensor data; converting, by one or more computer processors, the one or more observations into one or more questions associated with the one or more observations and the contextual information; utilizing a conversational agent to query, by one or more computer processors, the user through a user interface, with the one or more questions; receiving, by one or more computer processors, through the user interface at least one response to the one or more questions from the user; and comparing the at least one response to the one or more observations associated with the at least one query to determine that the received at least one response matches one or more stored observations. 2. The computer-implemented method of claim 1 , further comprising: prior to querying the user with the one or more questions, determining, by one or more computer processors, a pre-defined time threshold is exceeded. 3. The computer-implemented method of claim 2 , wherein the pre-defined time threshold is a defined period of time after the autobiographical event. 4. The computer-implemented method of claim 1 , further comprising: storing, by one or more computer processors, the one or more observations and the one or more questions associated with the one or more observations. 5. The computer-implemented method of claim 1 , further comprising: determining, by one or more computer processors, an accuracy of the at least one response to the one or more questions from the user; determining, by one or more computer processors, the accuracy of the at least one response to the one or more questions from the user does not exceed a pre-defined accuracy threshold; and transmitting, by one or more computer processors, an alert to one or more caregivers of the user. 6. The computer-implemented method of claim 5 , wherein the pre-defined accuracy threshold is selected from the group consisting of a percentage of the one or more questions answered correctly by the user in one sitting and a number of matching details in a response to one question of the one or more questions. 7. The computer-implemented method of claim 1 , further comprising: generating, by one or more computer processors, a report based on one or more of the received data from the one or more sensors, the one or more observations, the one or more questions, and the at least one response to the one or more questions; transmitting, by one or more computer processors, the report to one or more caregivers of the user; and storing, by one or more computer processors, the report. 8. The computer-implemented method of claim 1 , wherein detecting the autobiographical event associated with the user based on the received data from the one or more sensors includes using one or more natural language processing techniques. 9. A computer program product comprising: one or more computer readable storage media and program instructions collectively stored on the one or more computer readable storage media, the stored program instructions comprising: program instructions to receive, by one or more computer processors, data from one or more sensors associated with a user; based on the received data from the one or more sensors, program instructions to detect, by one or more computer processors, an autobiographical event associated with the user; program instructions to convert, by one or more computer processors, the received data from the one or more sensors into one or more observations associated with the autobiographical event, wherein the one or more observations are statements describing the autobiographical event, wherein converting the received data into the one or more observations comprises: program instructions to utilize natural language processing (NLP) and artificial intelligence (AI) techniques to extract contextual information from the sensor data; program instructions to convert, by one or more computer processors, the one or more observations into one or more questions associated with the one or more observations and the contextual information; program instructions to utilize a conversational agent to query, by one or more computer processors, the user through a user interface, with the one or more questions; program instructions to receive, by one or more computer processors, through the user interface at least one response to the one or more questions from the user; and program instructions to compare the at least one response to the one or more observations associated with the at least one query to determine that the received at least one response matches one or more stored observations. 10. The computer program product of claim 9 , the stored program instructions further comprising: prior to querying the user with the one or more questions, program instructions to determine a pre-defined time threshold is exceeded. 11. The computer program product of claim 10 , wherein the pre-defined time threshold is a defined period of time after the autobiographical event. 12. The computer program product of claim 9 , the stored program instructions further comprising: program instructions to determine an accuracy of the at least one response to the one or more questions from the user; program instructions to determine the accuracy of the at least one response to the one or more questions from the user does not exceed a pre-defined accuracy threshold; and program instructions to transmit an alert to one or more caregivers of the user. 13. The computer program product of claim 12 , wherein the pre-defined accuracy threshold is selected from the group consisting of a percentage of the one or more questions answered correctly by the user in one sitting and a number of matching details in a response to one question of the one or more questions. 14. The computer program product of claim 9 , the stored program instructions further comprising: program instructions to generate a report based on one or more of the received data from the one or more sensors, the one or more observations, the one or more questions, and the at least one response to the one or more questions; program instructions to transmit the report to one or more caregivers of the user; and program instructions to store the report. 15. A computer system comprising: one or more computer processors; one or more computer readable storage media; program instructions collectively stored on the one or more computer readable storage media for execution by at least one of the one or more computer processors, the stored program instructions comprising: program instructions to receive, by one or more computer processors, data from one or more sensors associated with a user; based on the received data from the one or more sensors, program instructions to detect, by one or more computer processors, an autobiographical event
Natural language analysis (semantic analysis of natural language G06F40/30) · CPC title
Monitoring progression or stage of a disease · CPC title
for patient-specific data, e.g. for electronic patient records · CPC title
ICT specially adapted for medical reports, e.g. generation or transmission thereof · CPC title
Evaluating the state of mind, e.g. depression, anxiety · CPC title
Related publications grouped by family.
Answers are generated from the same data shown on this page.