Dynamic Patient Problem List Interface for EMR Standardization
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Solution Overview
Problem
Current electronic medical record (EMR) and electronic health record (EHR) systems face challenges in maintaining standardized patient problem lists, which hinders post-processing and analysis, and requires significant customization across different software platforms, making it difficult for clinicians to evaluate the significance and relevance of patient problems over time.
Innovation Solution
A dynamically-adjustable user interface that encodes patient problem list entries with a date of entry and maps them to external terminology concepts, categorizing entries into limited duration groups based on expected resolution times, allowing for the removal of outdated entries and highlighting relevant problems for timely attention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If problem list entries are normalized to provide consistency, then data standardization is improved, but contextual semantic meaning is lost
Solution Approach 1:
The patent implements a nested terminology mapping structure where problem list entries are mapped to interface terminology concepts, which are in turn mapped to external terminology concepts. This multi-layered nesting allows the system to maintain the original entry form while establishing standardized relationships through intermediate mapping layers, thus preserving contextual meaning while achieving data standardization.
2Loss of information
If problem list entries are maintained in original form to preserve semantic meaning, then contextual information is preserved, but post-processing and analysis become difficult
Solution Approach 1:
The patent introduces interface terminology concepts as intermediary elements between the original problem list entries and external standardized terminologies. These intermediary concepts serve as a bridge that preserves the original semantic meaning while enabling standardized processing and analysis through the mapping relationships, thus solving the contradiction between preserving meaning and enabling efficient post-processing.
3Loss of information
If problem list entries are arranged in chronological order, then relative ages of entries are clear, but present significance of entries becomes difficult to evaluate
Solution Approach 1:
The patent segments the problem list display by creating a visual indicator system that divides entries into those requiring attention and those that do not. This segmentation is based on the recency of the limited duration window closing, allowing clinicians to quickly identify which entries are currently significant without losing the chronological context of when problems were originally recorded.
4Adaptability or versatility
If different EMR/EHR software programs are customized to implement changes, then platform-specific requirements are met, but time and cost increase significantly
Solution Approach 1:
The patent implements a universal interface terminology layer that can map to multiple external terminologies and can be applied across different EMR/EHR software platforms. This universal mapping structure allows the same problem list optimization logic to function across diverse platforms without requiring significant customization, thus achieving platform compatibility while minimizing time and cost investment.
Data Source
AI summary
A user interface, system and method for optimizing a patient problem list in an electronic medical record or electronic health record in which entries in the problem list are removable or otherwise editable if they were entered into the problem list longer ago than a limited duration window to which the entries are categorized. In order to determine that categorization, the problem list entries are mapped to concepts or lexicals of an interface terminology, which in turn is mapped to concepts of another terminology, and those concepts are analyzed with respect to one or more criteria used to establish the limited duration window.