Healthcare Decision Trees for Integrated Radiology Data Retrieval
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Solution Overview
Problem
Healthcare networks often lack integration of disparate data sources, requiring radiologists to manually retrieve medical information from various sources during analysis, leading to inefficiencies and inconsistencies in accessing and presenting relevant data.
Innovation Solution
A system that maintains an association between medical conditions and decision trees, enabling automatic retrieval and display of medical information on a user device by navigating through a tree structure based on received data, integrating disparate data sources and adapting the user interface accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If radiologists manually retrieve medical information from multiple disparate data sources, then they can access the needed information, but the process becomes time-consuming and inefficient
Solution Approach 1:
The patent merges multiple disparate data sources into a unified integrated environment that provides seamless access to medical information. The system combines patient data, imaging data, and other healthcare information from different sources into a single cohesive interface, eliminating the need for radiologists to manually access multiple separate systems.
Solution Approach 2:
The system implements automatic retrieval and adaptation of information from disparate data sources based on the radiologist's frame of reference and analysis stage. The system self-adjusts to provision relevant functions and data without requiring manual intervention, allowing radiologists to focus on analysis rather than data collection.
2Ease of operation
If the system integrates multiple data sources into a homogeneous environment, then information access is streamlined, but the device complexity increases
Solution Approach 1:
The patent creates a universal integrated healthcare environment that can access and present information from multiple different data sources through a single interface. The system is designed to be multi-functional, handling various types of medical data (imaging, patient records, lab results) from diverse sources uniformly, thereby simplifying the user experience despite the underlying complexity.
Solution Approach 2:
The system acts as an intermediary layer between radiologists and disparate data sources. This mediator automatically manages the complexity of integrating multiple sources by handling data retrieval, adaptation, and presentation transparently, shielding users from the underlying system complexity while providing seamless access.
3Productivity
If the system automatically retrieves and adapts information based on frame of reference, then analysis efficiency is enhanced, but the processing requirements increase
Solution Approach 1:
The system performs preliminary actions by automatically retrieving and adapting information from data sources based on the radiologist's frame of reference and current analysis stage before the radiologist needs it. This advance preparation ensures that relevant information is already processed and ready for analysis, improving productivity without requiring intensive real-time processing.
Solution Approach 2:
The system applies local quality by provisioning functions and retrieving information specifically tailored to the radiologist's current analysis stage and frame of reference. Rather than processing all possible data uniformly, the system selectively adapts and retrieves only the relevant information needed at each specific moment, optimizing computational resource usage while maintaining high analysis efficiency.
Data Source
AI summary
A system is used to control operation of a user device. An association between a medical condition and one or more decision trees is maintained. Each decision tree includes nodes organised in a tree structure originating at a root node and terminating at leaf nodes via branch nodes. The nodes are linked to each other via outputs and each output causes the system to differently control operation of the user device. Responsive to receiving medical information associated with the patient, using the association, a decision tree is identified. For the root node of the identified decision tree: a first node is selected, responsive to receiving data indicative of a first output regarding the root node; the user device is caused to retrieve medical information from one or more data sources based on the first node; and the retrieved medical information is caused to be displayed on the user device.