Sequencing Status Presentation for Faster Genetic Test Ordering
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Solution Overview
Problem
Current methods for ordering genetic tests in healthcare settings are cumbersome and result in delays of weeks or longer before sequencing data can be retrieved and presented with clinical significance, hindering timely diagnosis.
Innovation Solution
A computer-implemented method utilizing a genomics server to rapidly process and provide genetic test recommendations through a Clinical Decision Support (CDS) hook system, enabling real-time detection and forwarding of patient sequencing status and test data to healthcare providers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If traditional genetic testing ordering methods are used, then comprehensive genetic testing can be performed, but the process takes weeks or longer before results are available
Solution Approach 1:
The system performs preliminary actions by pre-processing and storing genetic test ordering workflows, templates, and sequencing status information before the actual testing begins. When a provider initiates a test order, the system already has the framework in place to rapidly assign tests, track sequencing status, and present results without requiring weeks of manual processing time.
Solution Approach 2:
The system implements continuous feedback mechanisms that automatically update sequencing status, generate real-time notifications, and provide dynamic recommendations to healthcare providers. This feedback loop enables the system to track test progress and deliver results much faster than traditional methods, directly reducing the weeks-long delay while maintaining comprehensive testing capabilities.
2Ease of operation
If manual genetic test ordering processes are used, then thorough patient evaluation can occur, but the ordering process becomes cumbersome and time-consuming
Solution Approach 1:
The system enables self-service by automatically generating test orders, assigning sequencing priorities, and tracking patient status without requiring extensive manual intervention from providers. The automated workflow handles routine ordering tasks, allowing providers to focus only on complex cases and reducing both the time and effort required for genetic test ordering.
Solution Approach 2:
The system changes operational parameters by implementing electronic workflows, automated status tracking, and digital communication protocols that replace manual paper-based processes. These parameter changes in how ordering is executed (from manual to automated, from physical to digital) dramatically reduce ordering duration while maintaining thorough patient evaluation through structured electronic forms and checklists.
3Loss of information
If comprehensive genetic testing is ordered, then complete patient data is obtained, but the data retrieval and presentation process is delayed
Solution Approach 1:
The system uses feedback mechanisms to continuously monitor sequencing status and automatically notify providers when data becomes available. This real-time status tracking and notification system ensures that comprehensive patient data is retrieved and presented as soon as it is generated, eliminating the delays associated with traditional batch processing and manual data retrieval.
Solution Approach 2:
The system performs preliminary actions by pre-configuring data retrieval protocols, establishing automated communication channels with laboratories, and preparing presentation formats before actual data generation. When sequencing completes, the infrastructure is already in place to rapidly extract, retrieve, and present comprehensive patient data without requiring additional time for data preparation or formatting.
Data Source
AI summary
Systems and methods herein provide for rapid patient information to healthcare providers such that the healthcare providers can make more informed decisions. One computer implemented method includes the use of a Clinical Decision Support (CDS) listener device. The CDS listener device detects, via a CDS hook, a request in a healthcare network from a healthcare provider for a patient. The CDS listener device forwards the request to a genomics server. The genomics server stores gene sequencing data of a plurality of genetic testing subjects. The genomics server then determines whether the patient is one of the plurality of genetic testing subjects, and, if the patient is one of the plurality of genetic testing subjects, the CDS listener device returns a sequencing status of the patient to the healthcare provider through the healthcare network.