Codified Terminology Search System Using Historical Data
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Solution Overview
Problem
Clinicians face challenges in efficiently searching for appropriate codified terms in electronic medical records due to the need to memorize standardized codes and the time-consuming process of looking up relevant codes, which burdens busy healthcare professionals.
Innovation Solution
The system facilitates searching codified terminology sets by using user-friendly search terms and historical search data to identify relevant terms, constraining the search to a subset of terms based on context information, thereby improving search efficiency and reducing processing overhead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If clinicians use standardized codified terminology sets to ensure consistency in electronic medical records, then measurement precision and reliability are improved, but ease of operation deteriorates because clinicians must memorize codes and spend excessive time looking them up
Solution Approach 1:
The patent introduces an intermediary search system between the clinician and the codified terminology set. The system accepts natural language input from clinicians and automatically translates it into appropriate codified terms, eliminating the need for clinicians to directly interact with complex code structures while ensuring consistent documentation.
Solution Approach 2:
The system performs automatic code selection and suggestion based on the search term and historical data, allowing the system to serve itself in finding the appropriate codified terms without requiring manual browsing or memorization by clinicians.
2Measurement precision
If clinicians search through complete codified terminology sets to find appropriate terms, then measurement precision is improved, but loss of time increases due to the extensive search process
Solution Approach 1:
The system performs preliminary actions by pre-processing historical search data and establishing correlations between search terms and selected results before the actual search occurs. This pre-computed information is then used to rapidly retrieve relevant codified terms, eliminating the need for time-consuming searches through the complete terminology set.
Solution Approach 2:
The system uses feedback from historical search data, analyzing patterns of successful searches and term selections to improve and refine search results in real-time, thereby reducing the time required to achieve accurate term selection.
3Adaptability or versatility
If the system searches the entire codified terminology set without constraints, then completeness of results is improved, but device complexity and processing overhead increase
Solution Approach 1:
The patent segments the large codified terminology set into manageable subsets based on relevance to the search term and historical data. By dividing the search space into smaller, more focused segments, the system maintains result completeness while reducing processing overhead and complexity.
Solution Approach 2:
The system extracts and removes irrelevant portions of the codified terminology set from the search process by using constraints based on historical data and search context. This extraction of unnecessary elements reduces processing overhead while preserving all potentially relevant results.
Data Source
AI summary
Methods, apparatuses, and computer program products are provided for providing facilitating searching. A method may include determining a search term. The method may further include searching a database having at least one codified terminology set. The searching may be performed based at least in part upon the search term and historical search data. The method may additionally include determining one or more search results from the search. Each search result may include a codified term from the at least one codified terminology set. Corresponding apparatuses and computer program products are also provided.