Adaptive Clinical Guideline Presentation System
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Solution Overview
Problem
Existing clinical decision support systems fail to tailor the presentation of guideline recommendations to varying devices, user interfaces, and working conditions, leading to suboptimal display and usability for caregivers.
Innovation Solution
A system and method for presenting guideline recommendations that adapt to different devices, user interfaces, and working conditions by selecting from multiple representation approaches based on device capabilities and user circumstances, including graphical, textual, and audio formats.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single presentation format is used for guideline recommendations, then the system is simple to implement, but it cannot adapt to different devices and user needs
Solution Approach 1:
The system implements multi-functionality by enabling a single CDS system to present guideline recommendations in multiple formats (detailed view, summary view, alert, notification, message) depending on the device type and user needs. The CIG engine dynamically selects the appropriate presentation format based on device capabilities, making the system universally adaptable across diverse clinical devices while maintaining a unified underlying architecture.
2Adaptability or versatility
If multiple presentation formats are provided for different devices, then adaptability improves, but the system complexity increases
Solution Approach 1:
The system applies parameter changes by dynamically adjusting the presentation parameters of guideline recommendations based on device characteristics and user context. The CIG engine modifies parameters such as level of detail, format type, and information prioritization according to the specific device being used, allowing the same underlying guideline logic to adapt its presentation without requiring separate systems for each device type.
3Loss of information
If detailed information is always displayed, then completeness is maintained, but usability under pressure decreases
Solution Approach 1:
The system implements partial action by providing different levels of information detail based on the clinical context and device type. For time-critical situations and mobile devices, the system delivers condensed summary views or alerts containing only essential information. For desktop workstations with more time available, more detailed presentations are provided. This ensures information completeness is maintained where needed while improving usability under pressure by reducing information overload in critical situations.
4Ease of operation
If the system tailors presentation to device capabilities, then user experience improves, but processing requirements increase
Solution Approach 1:
The system applies preliminary action by pre-defining multiple presentation formats and templates for guideline recommendations during system setup and CIG creation. These pre-configured presentation options are stored and readily available for selection. When a recommendation needs to be displayed, the CIG engine simply selects from these pre-prepared formats based on device capabilities, avoiding the need to generate custom presentations in real-time and thereby reducing processing requirements while still providing tailored user experiences.
Data Source
AI summary
A system (10) for presenting guideline recommendations to care givers includes at least one display device (54, 56), each displaying a user interface. The system (10) further includes at least one processor (122, 118). The processor (122, 118) is programmed to receive a guideline recommendation for a patient based on a computer interpretable guideline (CIG) and present the guideline recommendation to at least one associated user according to a plurality of alternative approaches for representing the guideline recommendation. At least one of the plurality of alternative approaches uses the user interface of one of the at least one display device (54, 56) to represent the guideline recommendation.