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Method and system to automatically generate meaningful statements in plain natural language from quantitative personalized content for patient centric tools

A natural language, patient-based technology, applied in the field of clinical and/or patient decision-making, can solve problems such as difficulty in understanding quantitative decision-making content for patients

Inactive Publication Date: 2015-12-09
KONINKLJIJKE PHILIPS NV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these systems often provide only quantitative decision content in a manner suitable only for physicians to understand
On the other hand, patients often have difficulty understanding quantitative decision making

Method used

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  • Method and system to automatically generate meaningful statements in plain natural language from quantitative personalized content for patient centric tools
  • Method and system to automatically generate meaningful statements in plain natural language from quantitative personalized content for patient centric tools
  • Method and system to automatically generate meaningful statements in plain natural language from quantitative personalized content for patient centric tools

Examples

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Embodiment Construction

[0021] The invention relates to a method and system for automatically generating common language explanations of quantified personalized decision-making content. Automated plain-language interpretation is designed to deliver the same message that quantifies personalized decision-making without the many numbers, probabilities, and other content that patients struggle to understand under the stress of being diagnosed with cancer.

[0022] According to one embodiment, the quantified personalized decision content is decomposed into different factors that contribute to the quantified results of different treatment options. These contributing factors were ranked based on importance, and a set of plain language interpretations for exhaustively covering all situations in treatment options and factor rankings was prepared. The feasible treatment options are ranked according to the main quantitative measures of the quantified results, and the highest ranked option is selected for detail...

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PUM

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Abstract

A system (50) and method (100) translates quantitative personalized decision content to natural language. Quantitative personalized decision content for a patient is received. The quantitative personalized decision content includes quantitative outcomes of treatment options. Contributing factors for the quantitative outcomes are determined. The treatment options are ranked based on a quantitative measure of the quantitative outcomes. Natural language explanations are presented to the patient describing the most highly ranked treatment option in terms of the contributing factors.

Description

technical field [0001] The following generally relates to clinical and / or patient decision making. It finds particular application in connection with shared decision making and will be described with particular reference to shared decision making. It should be understood, however, that it is also applicable to other application scenarios and is not necessarily limited to the above-mentioned applications. Background technique [0002] Shared decision making is the method by which the clinician and patient sit together and discuss the different treatment options available to the patient, taking into account the patient's preferences and the best available evidence, to jointly arrive at an informed decision. The shared decision tool supports patient reflection on the likely attributes and outcomes of treatment options, and patient consideration of individual preferences to allow the patient to make informed choices about the best course of action for the patient. In many cont...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
CPCG06F19/3431G06F19/3443G06F19/345G06F19/3487G16H10/60G16H50/30G16H50/70G16H50/20G16H15/00G06F16/285G06F16/24578G16H70/60G06F40/58G10L13/027
Inventor 张静雨P·M·达德拉尼马赫塔尼M·佩雷斯
Owner KONINKLJIJKE PHILIPS NV
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