SMS Patient Engagement Architecture for Real-Time Prequalification
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Solution Overview
Problem
The United States healthcare system faces challenges in patient engagement, qualification, and communication, particularly in surgical care, due to a lacking technical framework and infrastructure.
Innovation Solution
A multi-modal digital communication architecture utilizing a computing system to generate session identifiers, validate user registration, establish SMS-based communication channels, and leverage machine learning for patient prequalification through user journey analysis, including computer vision and patient data analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional communication channels are used for patient engagement, then patient communication can be established, but the system complexity and infrastructure requirements increase significantly
Solution Approach 1:
The patent introduces an SMS message gateway as an intermediary component that bridges the web server and patient mobile devices. This gateway handles all SMS communication tasks including sending appointment reminders, receiving patient responses, and managing communication state, thereby isolating the complexity from the main patient engagement system while maintaining ease of operation.
Solution Approach 2:
The system implements feedback mechanisms where patient responses to SMS messages are automatically captured, processed, and fed back into the user journey management system. This creates a closed-loop communication system that automatically adjusts subsequent interactions based on patient responses, reducing the need for complex manual intervention while maintaining ease of operation.
2Measurement precision
If manual patient qualification processes are used, then patient assessment can be performed, but the time consumption and processing speed increase
Solution Approach 1:
The patent implements preliminary action by pre-defining qualification criteria, user journey paths, and decision logic before patients arrive. The system pre-processes patient information as it is collected during registration and initial interactions, continuously assessing qualification status rather than waiting for complete data collection, thereby maintaining accuracy while reducing overall processing time.
Solution Approach 2:
The system enables self-service qualification assessment where patient-provided information and their responses to automated SMS messages are automatically analyzed against pre-defined criteria. The machine learning models perform self-directed evaluation of patient suitability, eliminating the need for manual reviewer intervention in routine cases while maintaining qualification accuracy.
3Reliability
If comprehensive patient data collection is implemented, then patient engagement quality improves, but the data management complexity and storage requirements increase
Solution Approach 1:
The patent segments patient data into distinct categories including personal information, medical history, communication preferences, and interaction logs. Each data segment is managed by specialized components within the data layer, with specific storage and processing rules applied to each type. This segmentation maintains data quality and reliability while reducing overall system complexity through modular data management.
4Productivity
If automated SMS communication is implemented, then patient engagement efficiency improves, but the communication channel reliability may decrease
Solution Approach 1:
The system implements feedback mechanisms where patient responses to SMS messages are automatically captured, processed, and fed back into the user journey management system. This creates a closed-loop communication system that automatically adjusts subsequent interactions based on patient responses, reducing the need for complex manual intervention while maintaining ease of operation.
Data Source
AI summary
A method of leveraging a multi-modal digital communication architecture for patient engagement according to one embodiment includes generating a session identifier for a session between the computing system and a client device of a user in response to loading a web resource on the client device, creating a user journey in a database of the computing system, associating the session identifier with the user journey, validating user registration information of the user, wherein the user registration information includes a name of the user and a mobile number of a user mobile device of the user, receiving a user message from the user via the client device, and sending a Short Message Service (SMS) message to the user mobile device in response to receiving the user message from the user via the client device to establish an SMS-based communication channel with the user.


