Provider Scheduling Coordination for Interoperable Service Authorization
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Solution Overview
Problem
Inefficient data exchange and interoperability among devices of different entities lead to processing delays, increased memory and energy usage, and inclusion of extraneous data, particularly in service provisioning contexts like medical services, due to diverse data types, formats, and protocols, which complicates verification and payment processes.
Innovation Solution
A coordination server that utilizes predictive analytics and machine learning to determine a prioritized list of providers based on recipient and provider data, including geographic proximity, service compatibility, and capacity, and sends authorization to selected providers, while managing schedules and secure communication channels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If devices of different entities exchange data using their own data formats, data types, data protocols, then device autonomy and flexibility are maintained, but interoperability deteriorates and processing efficiency decreases
Solution Approach 1:
The patent introduces a coordination server as an intermediary between devices of different entities. This server receives data from multiple devices using their native formats and protocols, then translates and coordinates the data into a standardized format that all parties can understand. This mediator approach maintains device autonomy while enabling efficient interoperability, as devices continue to use their own protocols but the coordination server handles the translation and coordination overhead.
2Reliability
If comprehensive verification data is collected to verify service performance and prevent fraud, then security and reliability are improved, but data processing complexity and memory usage increase
Solution Approach 1:
The patent extracts verification data collection and processing functions from individual devices and centralizes them in a coordination server. Instead of each device independently managing complex verification protocols and storing extensive verification data, the coordination server consolidates these functions. This reduces the processing complexity and memory requirements at the device level while maintaining comprehensive verification capabilities at the system level.
3Adaptability or versatility
If multiple data formats and protocols are supported across devices, then adaptability is improved, but processing time and energy consumption increase
Solution Approach 1:
The patent implements preliminary action by having the coordination server establish translation rules and data format mappings in advance. Before actual data exchange occurs, the server pre-configures the necessary format conversions and protocol translations based on the participating devices. This preliminary setup eliminates the need for real-time format negotiation and conversion during data exchange, significantly reducing processing delays while maintaining support for multiple data formats and protocols.
Data Source
AI summary
This disclosure provides systems, methods, and apparatuses, including computer programs encoded on computer storage media, to coordinate provider selection, recommendation, and service scheduling for authorized services. In one aspect, a method includes receiving an indicator associated with authorization of a service and first data associated with a recipient of the service. A prioritized list of providers may be determined based on second data associated with the providers. An authorization of the service may then be sent to at least one provider selected based on the prioritized list of providers. Other aspects and features are also claimed and described.