Stream Orchestration Subsystem for Variable-Length Message Routing
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Solution Overview
Problem
Existing stream orchestration systems for healthcare environments are inflexible and inefficient due to reliance on fixed-length messages, stateless architectures, and limited interoperability, leading to cumbersome, time-consuming, and costly clinical tasks.
Innovation Solution
The implementation of a stream orchestration subsystem that uses a polyglot stream orchestration language (SOL) to manage variable-length message streams, enabling flexible routing and session management across multiple client devices and services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If fixed-length messages are used in stream orchestration systems, then message format simplicity is improved, but bandwidth efficiency and flexibility deteriorate
Solution Approach 1:
The system transitions from fixed-length messages to variable-length messages, allowing the message structure to dynamically adapt to the actual data size. This enables efficient bandwidth utilization by sending only the necessary amount of data without padding, while maintaining structured formatting through defined schemas for different message types in healthcare workflows.
Solution Approach 2:
The message length parameter is changed from fixed to variable, allowing messages to be optimized based on the actual information content. The system defines different message formats with variable fields that can be adjusted according to the specific healthcare data being transmitted, improving bandwidth efficiency while maintaining format simplicity through standardized schemas.
2Device complexity
If stateless architectures are used, then system complexity is reduced, but session management capability and interoperability deteriorate
Solution Approach 1:
The system introduces session identifiers as intermediary elements that enable stateful session management while maintaining the simplicity of stateless message processing. Each message includes a session identifier that allows the system to track and manage related messages within a healthcare workflow without requiring complex state storage, enabling multi-device collaboration while keeping the architecture relatively simple.
3Device complexity
If limited interoperability is used, then system complexity is reduced, but flexibility and adaptability in healthcare environments deteriorate
Solution Approach 1:
The system implements a universal message format with defined schemas that can accommodate multiple healthcare data types and workflows. The message structure is designed to be multi-functional, supporting different message types (e.g., patient data, clinical notes, diagnostic information) within a single standardized framework, enabling broad interoperability across diverse healthcare devices and systems without requiring separate protocols for each use case.
Data Source
AI summary
Techniques are disclosed for session management for variable-length message streams. In an example method, a computing system establishes a first session by receiving, from a first computer system, registration information including a first session identifier and a specification of a channel; determining a stream orchestration instance for the channel; and joining the first computer system to the first session for the stream orchestration instance based on the first session identifier. The computing system receives, from a second computer system, a message including context information, the context information including the first session identifier. The computing system identifies the first session based on the first session identifier, the first session having one or more member computer systems. The computing system outputs the message to at least one of the one or more member computer systems of the first session.