Method for Monitoring Interactions to Generate a Cognitive Persona
US-2017185920-A1 · Jun 29, 2017 · US
US11031109B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11031109-B2 |
| Application number | US-201715857114-A |
| Country | US |
| Kind code | B2 |
| Filing date | Dec 28, 2017 |
| Priority date | Dec 28, 2017 |
| Publication date | Jun 8, 2021 |
| Grant date | Jun 8, 2021 |
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A mechanism is provided in a data processing system comprising a processor and a memory, the memory comprising instructions that are executed by the processor to specifically configure the processor to implement a relevant information graphical presentation engine for providing a graphical user interface (GUI) that presents information from a patient electronic medical record (EMR). The relevant information graphical presentation engine generates a GUI presenting patient EMR data pertinent to a condition of the patient. The relevant information graphical presentation engine identifies a change in treatment recorded in the patient EMR, submits a question to a healthcare cognitive system to query the patient EMR for a reason for the change in treatment, and receives at least one answer from the healthcare cognitive system identifying of a reason portion of the patient EMR that provides a reason for the change in treatment. The relevant information graphical presentation engine generates a GUI element that references the reason portion of the patient EMR and inserts the GUI element in the GUI in association with the information from the patient EMR pertinent to the outcome. The relevant information graphical presentation engine outputs the GUI to the healthcare professional.
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What is claimed is: 1. A method, in a data processing system comprising a processor and a memory, the memory comprising instructions that are executed by the processor to specifically configure the processor to implement a relevant information graphical presentation engine for providing a graphical user interface (GUI) that presents information from a patient electronic medical record (EMR), the method comprising: generating, by a graphical user interface generation component executing within the relevant information graphical presentation engine, a GUI presenting patient EMR data pertinent to a condition of the patient; identifying, by the relevant information graphical presentation engine, a change in treatment recorded in the patient EMR; selecting, by a question selection component executing within the relevant information graphical presentation engine, a question from a set of prototypical questions corresponding to the change in treatment using a trained machine learning model; submitting, by a question submission component executing within the relevant information graphical presentation engine, the selected question to a healthcare cognitive system to query the patient EMR for a reason for the change in treatment; receiving, by an answer processing component executing within the relevant information graphical presentation engine, at least one answer from the healthcare cognitive system identifying of a reason portion of the patient EMR that provides a reason for the change in treatment; generating, by a GUI element insertion component executing within the relevant information graphical presentation engine, a GUI element that links to the reason portion of the patient EMR; inserting, by the GUI element insertion component, the GUI element in the GUI in association with the information from the patient EMR pertinent to the change in treatment; outputting, by the relevant information graphical presentation engine, the GUI to the healthcare professional; and presenting, by the relevant information graphical presentation engine, the reason portion of the patient EMR responsive to user selection of the GUI element. 2. The method of claim 1 , wherein the GUI comprises a treatment timeline. 3. The method of claim 2 , wherein inserting the GUI element in the GUI comprises inserting the GUI element in the treatment timeline at a point corresponding to a time of the change in treatment. 4. The method of claim 1 , wherein the user selection comprises a mouseover operation or a mouse click operation. 5. The method of claim 1 , wherein presenting the reason portion of the patient EMR comprises presenting a pop-up window containing information derived from the reason portion of the patient EMR. 6. The method of claim 5 , wherein the pop-up window presents a link to the reason portion of the patient EMR. 7. A computer program product comprising a computer readable storage medium having a computer readable program stored therein, wherein the computer readable program, when executed on at least one processor of a data processing system, causes the data processing system to implement a relevant information graphical presentation engine for providing a graphical user interface (GUI) that presents information from a patient electronic medical record (EMR), wherein the computer readable program causes the data processing system to: generate, by a graphical user interface generation component executing within the relevant information graphical presentation engine, a GUI presenting patient EMR data pertinent to a condition of the patient; identify, by the relevant information graphical presentation engine, a change in treatment recorded in the patient EMR; select, by a question selection component executing within the relevant information graphical presentation engine, a question from a set of prototypical questions corresponding to the change in treatment using a trained machine learning model; submit, by a question submission component executing within the relevant information graphical presentation engine, the selected question to a healthcare cognitive system to query the patient EMR for a reason for the change in treatment; receive, by an answer processing component executing within the relevant information graphical presentation engine, at least one answer from the healthcare cognitive system identifying of a reason portion of the patient EMR that provides a reason for the change in treatment; generate, by a GUI element insertion component executing within the relevant information graphical presentation engine, a GUI element that links to the reason portion of the patient EMR; insert, by the GUI element insertion component, the GUI element in the GUI in association with the information from the patient EMR pertinent to the change in treatment; output, by the relevant information graphical presentation engine, the GUI to the healthcare professional; and present, by the relevant information graphical presentation engine, the reason portion of the patient EMR responsive to user selection of the GUI element. 8. The computer program product of claim 7 , wherein the GUI comprises a treatment timeline. 9. The computer program product of claim 8 , wherein inserting the GUI element in the GUI comprises inserting the GUI element in the treatment timeline at a point corresponding to a time of the change in treatment. 10. The computer program product of claim 7 , wherein the user selection comprises a mouseover operation or a mouse click operation. 11. The computer program product of claim 7 , wherein presenting the reason portion of the patient EMR comprises presenting a pop-up window containing information derived from the reason portion of the patient EMR. 12. The computer program product of claim 11 , wherein the pop-up window presents a link to the reason portion of the patient EMR. 13. An apparatus comprising: a processor; and a memory coupled to the processor, wherein the memory comprises instructions which, when executed by the processor, cause the processor to implement a relevant information graphical presentation engine for providing a graphical user interface (GUI) that presents information from a patient electronic medical record (EMR), wherein the instructions cause the processor to: generate, by a graphical user interface generation component executing within the relevant information graphical presentation engine, a GUI presenting patient EMR data pertinent to a condition of the patient; identify, by the relevant information graphical presentation engine, a change in treatment recorded in the patient EMR; select, by a question selection component executing within the relevant information graphical presentation engine, a question from a set of prototypical questions corresponding to the change in treatment using a trained machine learning model; submit, by a question submission component executing within the relevant information graphical presentation engine, the selected question to a healthcare cognitive system to query the patient EMR for a reason for the change in treatment; receive, by an answer processing component executing within the relevant information graphical presentation engine, at least one answer from the healthcare cognitive system identifying of a reason portion of the patient EMR that provides a reason for the change in treatment; generate, by a GUI element insertion component executing within the relevant information graphical presentation engine, a GUI element that links to the reason portion of the patient EMR; insert, by the GUI element insertion component, the GUI element in the GUI in association with the information fr
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