Dynamic Patient Visit Template System for Adaptive EHR Navigation
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Solution Overview
Problem
Existing computer-based patient record systems face challenges in providing an easy-to-use navigation interface while maintaining flexibility and power, as they often require extensive computer skills and can become cumbersome due to the need for manual typing and navigation, and the limitations of template-based approaches lead to inefficiencies and loss of structured data benefits.
Innovation Solution
A patient health record system that dynamically builds visit templates using knowledge bases to suggest content based on user profiles and current patient information, offering an intuitive graphical interface with a navigation pane and visit information window for easy data entry and editing, while maintaining structured data for decision support and reporting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If template-based approaches are used to simplify the interface, then ease of operation is improved, but adaptability deteriorates because templates cannot address unforeseen health issues
Solution Approach 1:
The system dynamically adjusts the template structure in real-time based on detected health issues. When a user encounters a health problem not covered by standard templates, the system automatically adds relevant fields and sections to the template, making it adaptive without requiring manual reconfiguration. This resolves the contradiction by making the template both simple to use (pre-structured) and flexible (dynamically adjustable).
Solution Approach 2:
The system enables itself to adapt to new health issues without requiring extensive reconfiguration by the developer. The template system includes self-adjusting mechanisms that automatically incorporate new health parameters when detected during use, allowing the system to serve itself in adapting to unforeseen conditions while maintaining ease of operation.
2Adaptability or versatility
If more templates are created to address diverse health issues, then adaptability is improved, but device complexity increases due to the need to know differences between templates
Solution Approach 1:
A single universal template framework handles all health issues by dynamically adjusting its structure. Instead of creating multiple specialized templates, the system uses one master template that can adapt to any health condition through dynamic field addition and reconfiguration. This eliminates the need for users to learn multiple template differences while maintaining comprehensive adaptability.
Solution Approach 2:
The template system transitions from static, fixed templates to a dynamic, self-adjusting framework. The template automatically reconfigures based on the detected health issue, adding relevant fields and sections as needed. This dynamic approach provides universality without requiring users to manually navigate multiple template variants, reducing operational complexity.
3Adaptability or versatility
If complexity is added to templates to handle more scenarios, then adaptability is improved, but ease of operation deteriorates as the template becomes less simple to use
Solution Approach 1:
The system maintains simplicity in the base template while adding complexity only when needed through dynamic adjustment. The template starts simple and pre-structured for common conditions, then automatically expands only when unforeseen health issues are detected. This ensures ease of operation for routine cases while providing adaptability when required, without permanently increasing complexity.
Solution Approach 2:
The template is segmented into a stable core structure for common health parameters and a dynamic extension area for condition-specific fields. This segmentation allows the majority of the template to remain simple and unchanged, while only the necessary portions expand when needed. Users interact with a simple interface most of the time, with complexity appearing only when and where required.
4Adaptability or versatility
If dictated notes are used to extend template functionality, then adaptability is improved, but loss of structured data occurs because dictated notes are unstructured text
Solution Approach 1:
The system replaces the mechanical process of manual typing with automated speech-to-text technology. When users dictate notes, the system automatically transcribes and structures the speech into organized data fields, maintaining structured data integrity while providing the flexibility of natural speech input. This eliminates the need to choose between structured data entry and flexible dictated notes.
Solution Approach 2:
The system introduces an intermediary layer (automated transcription system) between the user's spoken notes and the structured database. This intermediary automatically converts unstructured speech into structured data fields, preserving both the flexibility of natural language input and the benefits of structured storage for decision support and reporting.
Data Source
AI summary
A patient health record system uses knowledge bases to dynamically build visit templates and suggest content based on the user's profile and current patient information. The visit template is available to the health care provider using the system, and is presented within an easy-to-use graphical interface comprising a navigation pane for moving from one section of the template to another, and a visit information window that displays current visit information and allows the user to add and edit that information.