Resource Cache Indexing Across Disparate Platforms
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Solution Overview
Problem
Existing systems face challenges in integrating with multiple electronic platforms due to the need for platform-specific application programming interfaces (APIs), leading to complex queries and inefficient data access.
Innovation Solution
A computer-based system with an interface gateway that includes a resource orchestrator, capable of generating normalized API calls across disparate resource platforms, parsing unstructured responses, and updating a resource cache with standardized resource objects, enabling efficient resource management and access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If platform-specific APIs are used for each electronic platform, then platform compatibility is achieved, but system complexity increases
Solution Approach 1:
The patent introduces an intermediary layer (API gateway or adapter) that sits between the client application and multiple platform-specific APIs. This intermediary handles the complexity of platform-specific protocols, data formats, and authentication mechanisms, while presenting a unified interface to the application. The intermediary translates generic requests into platform-specific calls and aggregates responses, thereby maintaining platform compatibility without exposing system complexity to the end user.
Solution Approach 2:
The patent implements a universal interface layer that can interact with multiple different electronic platforms through a single standardized API. This universal interface abstracts away platform-specific details and provides consistent access to diverse resources across different platforms. The system achieves multi-functionality by enabling one interface to serve multiple platform integration purposes, thereby reducing the need for separate platform-specific implementation code.
2Adaptability or versatility
If multiple platform-specific APIs are integrated, then access to diverse resources is enabled, but data access efficiency decreases
Solution Approach 1:
The patent merges multiple platform-specific API interactions into a single unified interface. Instead of making separate calls to each platform's API, the system combines resource access operations through one standardized interface. This merging reduces the overhead of managing multiple API connections, simplifies error handling, and improves data access efficiency by consolidating communication protocols and data processing pathways.
Solution Approach 2:
The patent implements preliminary actions by pre-configuring the intermediary layer with platform-specific connection parameters, authentication credentials, and data mapping rules before actual resource access is needed. This preliminary setup enables the system to quickly establish connections and retrieve data without performing complex configuration or authentication operations at the time of data access, thereby improving efficiency.
3Measurement precision
If system-specific query construction is required for each platform, then precise data retrieval is achieved, but development time increases
Solution Approach 1:
The patent creates a copy or abstraction of platform-specific query structures within the unified interface layer. Instead of requiring developers to write platform-specific queries, the system uses template-based query construction that automatically adapts generic query patterns to each platform's requirements. This copying approach maintains precise data retrieval by preserving the essential query logic while eliminating the need to manually replicate query construction for each platform.
Solution Approach 2:
The patent implements parameter changes by dynamically adjusting query parameters based on the target platform. The unified interface accepts generic query parameters and automatically transforms them into platform-specific parameter formats. This parameter transformation maintains precise data retrieval by preserving the semantic meaning of queries while adapting to different platform conventions, thereby reducing development time without sacrificing query accuracy.
Data Source
AI summary
Described herein are systems and methods for real-time automated data indexing of resources across disparate electronic platforms, including automated data mapping and message translation for improved resource platform access. A cache may refresh (e.g., on a periodic basis) resource objects regarding resources and resource availability from each resource platform. The resources may include providers, and the information can include name/identifier, capabilities, type, availability, etc. unstructured responses obtained from calls to refresh the objects may be parsed and reformatted into a common format using platform-specific configurations, and then stored in a resource cache such that subsequent users can request the resource that is secured by interacting with the resource cache instead of the resource platform. The resource cache may store, index, and/or query the objects using the platform-specific configurations to improve the speed and real-time nature of appointments by leveraging the information aggregated from disparate resource platforms.