Patient Engagement Strategy Selection via Text Analysis
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Solution Overview
Problem
Patient engagement is often overlooked in healthcare, leading to increased healthcare resource use and suboptimal health outcomes, as existing methods lack effective strategies to actively involve patients in their treatment decisions and health management.
Innovation Solution
A method that involves loading a software application onto a data capture device to generate and collect electronic texts from patients, using automatic text classification and sentiment analysis to identify perceptions, calculate engagement degrees, and select appropriate strategies for improving patient engagement by transmitting configuration data to update the software application.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If patient engagement is ignored in healthcare, then healthcare institutions can reduce operational complexity, but healthcare resource use increases and health outcomes deteriorate
Solution Approach 1:
The system enables patients to self-monitor and self-report their health data through mobile applications and wearable devices, allowing them to actively manage their own health conditions without requiring constant medical intervention, thus reducing healthcare resource consumption while improving engagement
Solution Approach 2:
The system implements continuous feedback loops where patient data is collected, analyzed, and used to generate personalized recommendations and alerts that are immediately communicated back to patients, enabling real-time health management and preventing resource-intensive interventions
2Productivity
If automated text classification and sentiment analysis are implemented to analyze patient perceptions, then patient engagement strategies can be optimized, but system complexity and computational requirements increase
Solution Approach 1:
The system replaces manual analysis of patient perceptions with automated text classification and sentiment analysis algorithms that process electronic health records, patient feedback, and communication data to automatically identify engagement opportunities and recommend strategies
Solution Approach 2:
The system employs multi-functional software applications that simultaneously perform data collection, text classification, sentiment analysis, strategy recommendation, and configuration updates across multiple patient engagement scenarios, reducing the need for separate specialized systems
Data Source
AI summary
A method includes loading a software application onto a data capture device of a subject, collecting electronic texts of a subject from a plurality of computer storage devices across the Internet, including electronic text generated by the data capture device, identifying, from the electronic texts, one or more perceptions held by the subject, generating a classification for each of the perceptions, wherein at least one of the perceptions is classified as a negative perception, defining an engagement degree of the subject with a current engagement model using the classifications of the perceptions, analyzing the negative perception, and defining a score for each of a plurality of strategies of engagement, wherein at least one strategy is selected, using the scores, for application to the subject, and the application of a selected strategy includes transmitting configuration data to the data capture device of the subject, the configuration data updates the software application.