HL7 Inbound Testing Tool With Chunked Load Generation
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Solution Overview
Problem
Current load testing for inbound HL7 messages is hindered by data scarcity, as systems struggle to simulate real-world environments due to insufficient patient information, leading to inadequate performance analysis under high message volumes.
Innovation Solution
A tool is developed to generate large volumes of test HL7 transaction messages, utilizing multiple pipes for simultaneous transmission, with an HL7 generator that identifies different identifier types and message types, and a load generator that optimizes memory usage by loading transactions in chunks, allowing for realistic simulation and performance analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If large volumes of test HL7 messages are generated and transmitted simultaneously, then load testing effectiveness is improved, but system memory resources are overwhelmed
Solution Approach 1:
The test message transmission process is divided into multiple segments or batches. Instead of transmitting all test messages simultaneously, the system transmits them in controlled chunks, allowing memory to be freed between batches. This segmentation enables effective load testing while preventing memory exhaustion.
Solution Approach 2:
The system employs periodic transmission of test messages rather than continuous simultaneous transmission. By sending messages in periodic intervals with controlled timing, the system maintains high load testing effectiveness while allowing memory resources to be managed and released between transmission cycles.
2Manufacturing precision
If multiple identifier types are used for different message sets, then message routing accuracy is improved, but message generation complexity increases
Solution Approach 1:
The message generation system is designed with multi-functionality to handle multiple identifier types through a unified generation process. The system can generate messages with different identifier types (such as patient ID, message ID, facility ID) using the same generation engine, which selects and applies appropriate identifiers based on message type and routing requirements. This universal approach maintains routing accuracy while avoiding the need for separate generation systems for each identifier type.
Data Source
AI summary
Methods, systems, and computer-readable media are disclosed herein for enabling inbound testing. Aspects herein provide a tool that can, from with a single application, generate test HL7 transaction messages and send the generated test HL7 messages to an inbound testing interface to monitor performance of a testing interface. The tool provides a mechanism to generate a large number of test HL7 messages having different identifier types and message types simultaneously. The tool also provides a mechanism to send large numbers of test HL7 messages, of different identifier types and message types, simultaneously, to a testing environment via multiple pipes.