Medical Data Access Library Using Data Nodes and Local Cache
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Solution Overview
Problem
Front-end developers face challenges in efficiently accessing and integrating large amounts of medical data from hospital systems due to complex data structures, back-end API integration, and strict security requirements, leading to poor development efficiency and a focus on non-functional aspects rather than application design.
Innovation Solution
A front-end development library with data nodes serves as an intermediate layer between the front-end application and back-end system, allowing developers to interact with data nodes for simplified data access and presentation, using a hierarchical data structure and local caching to reduce complexity and improve efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If developers directly access back-end API to retrieve medical data, then data access is achieved, but development complexity and time consumption increase significantly
Solution Approach 1:
The patent introduces a front-end development library as an intermediary layer between the front-end application and the back-end data system. This library provides standardized data nodes that encapsulate complex API calls, allowing developers to access medical data through simple, intuitive interfaces without dealing with the underlying complexity of data structures and API integrations.
Solution Approach 2:
The patent segments the data access process into independent data nodes, each representing a specific medical data type (e.g., patient information, medical records, test results). This segmentation allows developers to access individual data types independently through standardized interfaces, reducing the overall complexity of data integration.
2Productivity
If developers manually integrate data from multiple sources, then data integration is achieved, but development time and experience requirements increase
Solution Approach 1:
The front-end development library pre-integrates and pre-processes data from multiple sources, organizing them into standardized data nodes before they are needed by the application. This preliminary action eliminates the need for developers to manually perform data integration tasks, significantly reducing development time and experience requirements.
Solution Approach 2:
The library provides universal data nodes that can access and integrate data from multiple back-end systems through a single standardized interface. These data nodes serve multiple functions including data retrieval, transformation, and presentation, eliminating the need for developers to write custom integration code for each data source.
3Reliability
If developers ensure data accuracy and security compliance, then data reliability is improved, but development complexity increases
Solution Approach 1:
The front-end development library implements self-service mechanisms for data accuracy and security compliance. The library automatically handles authentication, authorization, and data validation through its standardized data nodes, eliminating the need for developers to manually ensure compliance while maintaining high reliability standards.
Data Source
AI summary
The present application relates to a medical data access system and a medical data access method thereof. The method includes the following steps. A user interface element of a front-end application is executed. The user interface element is linked to a data node of a front-end development library. Via the data node of the front-end development library, a medical data set of the data node is called from a back-end data system or a local cache device. According to the medical data set of the data node, target data is presented at the user interface element.