Medical Side Effects Tracking Analytics System
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Solution Overview
Problem
Current medical practices result in unnecessary patient visits due to varying and often unpredictable side effects from treatments, leading to increased costs for both patients and medical offices, as existing systems fail to effectively monitor and notify patients of potential adverse effects in a timely manner.
Innovation Solution
A system utilizing processors to analyze both structured and unstructured medical information, applying text analytics to identify potential side effects and their time intervals, and sending notifications to patients before occurrence, thereby reducing unnecessary visits and improving health outcomes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If patients return to doctors when experiencing side effects, then medical attention is provided, but unnecessary visits increase costs for patients and medical offices
Solution Approach 1:
The system performs preliminary analysis of medical information and predicts potential side effects before they occur. By notifying patients in advance of expected side effects and their time intervals, the system enables patients to distinguish between normal treatment effects and actual adverse reactions, preventing unnecessary doctor visits while ensuring timely attention for genuine problems.
2Loss of energy
If patients are notified of potential side effects in advance, then unnecessary visits are reduced, but system complexity increases
Solution Approach 1:
The system employs a multi-functional analytics platform that processes various types of medical information (structured and unstructured data from electronic health records, medical literature, and patient histories) through a single unified analysis engine. This universal system performs multiple functions including side effect prediction, timing estimation, and patient notification, reducing the need for multiple separate systems while maintaining comprehensive monitoring capabilities.
Data Source
AI summary
According to one embodiment of the present invention, a system for monitoring medical events for adverse effects includes at least one processor. The processor may be configured to identify one or more medical events within patient medical information by applying first analytics to the medical information. The medical information may include unstructured information. The processor is further configured to determine adverse effects of the identified medical events and corresponding time intervals of occurrence by applying second analytics to medical reference information, wherein effect information includes the identified medical events, determined adverse effects, and corresponding time intervals of occurrence. In addition, the processor is configured to determine from the effect information any adverse effects for a patient and the corresponding time intervals of occurrence. Finally, the processor is configured to notify a user of the determined adverse effects prior to initiation of the corresponding time intervals of occurrence.