Geographic Health Data Visualization via Cloud Extraction
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Solution Overview
Problem
Existing healthcare data analysis systems require extensive software installations and modifications on client devices to display geographic population health information, leading to data capacity limitations and the need for frequent updates, which complicates the integration and visualization of massive datasets.
Innovation Solution
A geographic population health information system that utilizes a client device's web browser to display data collected from disparate sources, using a map server, custom geographic data selection manager, and geo-spatial database to render dynamic, interactive visualizations without the need for client-side software installations, enabling on-demand data analysis through a server-based system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If existing software systems are used to store, compute, and manipulate healthcare data, then data processing capabilities are provided, but device complexity and maintenance requirements increase due to need for software installations and updates on client devices
Solution Approach 1:
The patent extracts the data processing and visualization functionality from client devices and relocates it to a centralized cloud-based platform. The system collects healthcare data from multiple sources, processes it through cloud-based computational resources, and delivers visualizations via web browser, eliminating the need for complex software installations and updates on user devices while maintaining full data processing capability.
Solution Approach 2:
The patent introduces a cloud-based intermediary platform that mediates between data sources and user interfaces. This intermediary handles all data manipulation, integration, and visualization tasks server-side, allowing users to access processed information through simple web browser interactions without managing complex software environments on their devices.
2Quantity of substance
If client-side software is used to display geographic health data, then data visualization is enabled, but data capacity limitations occur due to storage and processing constraints on user devices
Solution Approach 1:
The patent extracts data storage and processing capabilities from client devices to the cloud platform. The system collects and stores large volumes of healthcare data from multiple sources on centralized servers with virtually unlimited capacity, then processes and visualizes this data through web browser-based tools without consuming significant local resources, thereby overcoming data capacity limitations while maintaining ease of operation.
3Reliability
If existing methods are used to integrate disparate data assets with GIS software, then spatial distribution visualization is achieved, but system complexity increases due to requirement for specialized software integration
Solution Approach 1:
The patent merges multiple disparate data sources and GIS functionality into a single unified cloud-based platform. The system integrates healthcare data from various sources with geographic information systems, performs spatial analysis, and delivers comprehensive visualizations through a single web interface, thereby achieving reliable spatial distribution rendering while reducing the complexity of software integration requirements.
4Adaptability or versatility
If software updates are released to enable access to new datasets, then data accessibility is improved, but maintenance complexity and time loss increase due to frequent updates required
Solution Approach 1:
The patent inverts the traditional software update model by moving from client-side updates to server-side updates. Instead of requiring clients to download and install updates to access new datasets, the system maintains a centralized database that automatically incorporates new data sources and formats on the server side, making them immediately available to users through the web interface without any client-side updates or maintenance time loss.
Data Source
AI summary
A method and system for providing a data analysis in the form of a customized geographic visualization on a graphical user interface (GUI) on a remote client computing device using only a web browser on the remote client device. The system receives a user's selected data analysis to be performed by the system for display on the remote client device. The system verifies the data access permissions of the user to render a data analysis solution customized to that particular user, and automatically prevents that user from gaining access to data analysis solutions to which that user is prohibited. The system is configured to respond to the user's data analysis request, perform the necessary computations on the server side on the fly, and send a dataset interpretable by the client device's web browser for display on the client device or on a device associated with the client device.