Contextual Assessment of Patient Data for Clinical Suggestions
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Solution Overview
Problem
The growing volume of data generated daily creates inefficiencies and undesirable outcomes due to the time required to sort through stored data, leading to a significant portion being ignored or abandoned, which affects decision-making processes.
Innovation Solution
A system is implemented to generate context-based evaluations and contextual suggestions for authorized users by transforming, aggregating, and managing data from various sources, including sensors and user devices, using transformative processing engines and transaction management engines to facilitate efficient data handling and decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If data is stored for future use, then data availability is improved, but time required to sort through data increases
Solution Approach 1:
The patent segments data into different categories based on context relevance (e.g., high-value data versus low-value data). By dividing the data into segments and processing them differently, the system can quickly identify and process only the relevant portions, reducing the time needed to sort through stored data while maintaining availability of important information.
Solution Approach 2:
The patent performs preliminary evaluation of data context before processing. By assessing the context of data in advance and pre-sorting it into relevant categories, the system reduces the time required for later data sorting and processing, while ensuring that important data remains available for decision-making.
2Reliability
If more data is processed, then decision-making quality is improved, but processing time increases
Solution Approach 1:
The patent applies local quality by evaluating and processing data based on its specific context and relevance. Rather than uniformly processing all data, the system identifies and prioritizes data segments with higher contextual value, improving decision-making quality from relevant data while reducing processing time by excluding less relevant data.
Solution Approach 2:
The patent changes the parameters of data processing based on context assessment. By adjusting processing depth, priority, and methods according to the contextual characteristics of different data segments, the system optimizes both decision-making quality and processing efficiency, ensuring high-quality decisions from relevant data without excessive time consumption.
3Measurement precision
If data is evaluated thoroughly, then decision-making accuracy is improved, but data evaluation time increases
Solution Approach 1:
The patent segments data evaluation into prioritized stages, first assessing contextual relevance and then performing detailed evaluation only on high-value data segments. This approach maintains decision-making accuracy by thoroughly evaluating relevant data while reducing overall evaluation time by skipping detailed analysis of irrelevant data.
Solution Approach 2:
The patent performs preliminary context assessment to identify the most relevant data before conducting thorough evaluation. This preliminary sorting action ensures that detailed evaluation time is spent only on data that will impact decision-making accuracy, thereby maintaining high accuracy while minimizing total evaluation time.
Data Source
AI summary
In some examples, systems, methods, and devices are described that generate contextual suggestions for patients. Generation of the contextual suggestions is triggered by certain events performed by a medical professional with respect to a patient (e.g., updating a patient record). The contextual suggestions are related to addressing health conditions of the patient and represent tasks or considerations which the medical professional should be made aware. The contextual suggestions are generated in a way that is considerate of patient context, medical professional context, and contexts of similar patients. The contextual suggestions can be presented to the medical professional for selection and execution.