Thin Client Decision Support for Pet Health Queries
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Solution Overview
Problem
Existing pet health query systems are inefficient due to the need for frequent veterinary visits, lack of personalized advice, and difficulties in updating content, leading to unnecessary expenses and potential adverse health impacts on pets.
Innovation Solution
A decision support system that uses a thin client application to download question sets from a server, allowing for updates without recompiling the client application, and provides personalized health advice based on user inputs and pet-specific information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If stand-alone applications with integrated content are used, then the application is self-contained and can be used offline, but updating content requires recompiling and redistributing the entire application
Solution Approach 1:
The system divides the application into two separate components: a stable client application executable and a separate updateable content database. The client application downloads question sets and content from the server without requiring recompilation, while the content can be independently updated on the server side.
Solution Approach 2:
The content (question sets, answers, tutorials) is extracted from the application binary and stored separately on the server. This allows the content to be updated independently from the application code, eliminating the need to recompile and redistribute the entire application when content changes.
2Ease of manufacture
If web-based tutorials are used, then content can be updated easily on the server, but a constant internet connection is required and network disruptions cause loss of progress
Solution Approach 1:
The client application pre-downloads complete question sets and content from the server before the user needs them. This ensures that even if network connectivity is lost during tutorial use, the user can continue without interruption since all necessary content is already cached locally.
Solution Approach 2:
The system buffers complete question sets locally in the client application, creating a cushion against network disruptions. If the network connection fails during tutorial execution, the buffered content ensures uninterrupted access and preserves the user's place in the tutorial.
3Device complexity
If general health advice is provided without personalized information, then the system is simpler to implement, but the advice may not accurately reflect the necessary information for a specific pet
Solution Approach 1:
The system customizes health advice by incorporating specific pet characteristics (age, breed, weight, medical history) into the decision support algorithm. Each pet receives personalized recommendations rather than generic advice, with the question sets and scoring tailored to the individual pet's profile.
Solution Approach 2:
The decision support system dynamically adjusts recommendations based on the pet's specific characteristics and the answers provided during the health assessment. The algorithm modifies the evaluation criteria and scoring weights according to the individual pet's needs, making the advice adaptive rather than static.
4Reliability
If frequent veterinary visits are made for non-emergency situations, then pet health can be monitored closely, but it becomes expensive and inconvenient for the pet owner
Solution Approach 1:
The decision support system enables pet owners to independently assess their pet's health status using the mobile application. Owners can input symptoms and receive personalized recommendations without needing to visit a veterinarian for every minor issue, reducing unnecessary trips while maintaining health monitoring capability.
Solution Approach 2:
The system provides immediate feedback to pet owners based on the symptoms entered, helping them determine whether veterinary care is truly necessary. The algorithm analyzes the input data and gives actionable recommendations, allowing owners to make informed decisions about whether to seek professional veterinary care.
Data Source
AI summary
A decision support system is described that solves various technical problems associated with prior systems. The system may include a thin client application that downloads question sets from a server. The question sets may include a series of interlinked questions and answers as well as scores associated with the answers. Scores of selected answers may be tallied and a decision corresponding to the cumulative score of the selected answers may be provided to a user. As a result, the system may enable the ability to update (add, revise or delete) questions, answers and question lines without needing to recompile and redistribute the client application. In addition, the transmission of a complete question set reduces overall network traffic and technical problems arising from network disruptions among other technical benefits.