Algorithmic Medical Message Relay for Clinical Accuracy
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Solution Overview
Problem
Current medical message relaying systems are inefficient and often lack essential information, making it difficult for medical providers to determine symptom severity or urgency, which can lead to delayed or inappropriate responses to time-sensitive or life-threatening conditions.
Innovation Solution
Implementing an algorithmic system that uses deterministic, probabilistic, and heuristic techniques to analyze medical messages, prompt patients for additional information, and generate tailored questions to improve the accuracy and efficiency of medical information relay, leveraging advanced computer processing and communications to determine urgency levels and provide clinical decision support.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a message is left by the patient with a receptionist or answering service, then the medical practitioner can be contacted asynchronously, but the message may not include all needed information and may not indicate symptom severity
Solution Approach 1:
An automated message relay system acts as an intermediary between the patient and medical practitioner. The system receives the initial message, analyzes it using algorithmic techniques, generates additional diagnostic questions, collects responses, and relays the complete information package to the practitioner. This intermediary process ensures information completeness while maintaining asynchronous communication.
Solution Approach 2:
The system performs preliminary diagnostic questioning and information gathering before the practitioner receives the message. By pre-collecting additional information through automated questions and analyzing responses, the system prepares a comprehensive information package in advance, eliminating the need for the practitioner to perform preliminary information gathering.
2Device complexity
If traditional message relay methods are used, then communication simplicity is maintained, but medical safety and response accuracy are reduced
Solution Approach 1:
The message relay system performs self-service by automatically generating diagnostic questions, analyzing patient responses, determining symptom severity, and prioritizing messages without requiring manual intervention from receptionists or practitioners. This automated self-service maintains communication simplicity while significantly improving reliability through consistent application of diagnostic algorithms.
Solution Approach 2:
The system replaces the mechanical human-in-the-loop message relay process with an automated computational system. Instead of relying on manual message taking and forwarding by receptionists, the system uses algorithmic techniques, natural language processing, and automated questioning to relay messages, thereby improving accuracy while maintaining ease of use.
3Measurement precision
If additional diagnostic questions are generated and answered, then medical information accuracy is improved, but communication time and process complexity increase
Solution Approach 1:
The system uses periodic action by presenting questions in structured sequences and processing responses in discrete stages. Rather than conducting a continuous lengthy interview, the system delivers questions in organized batches, analyzes responses systematically, and progresses through diagnostic stages efficiently, reducing overall communication time while maintaining accuracy.
Solution Approach 2:
The system dynamically changes parameters such as question selection, questioning depth, and information gathering intensity based on the initial message content and patient responses. By adapting the diagnostic process to the specific case, the system avoids unnecessary questions and focuses on critical information, thereby improving accuracy without proportionally increasing time consumption.
Data Source
AI summary
A system and method are disclosed to enhance the efficiency and accuracy of medical information relayed to medical providers for real-time clinical decision support, using algorithmic techniques to automatically ask additional related questions to improve and enhance provider and patient communications. The present subject matter generally relates to improving medical safety, efficiency, and time management, reducing medical malpractice and system errors, and more particularly, to a system and method for intelligent and enhanced questions to be answered to submit to the provider for clinical actions. Among the many benefits provided by the subject matters disclosed herein are improved medical diagnostic of patient symptoms, service efficiency, and improved patient experience and satisfaction, all of which improve healthcare operations and patient outcomes in settings where a message about a patient's symptom is being related to the practitioner by the patient or a non-clinical agent.