Genetic Databank Application Unifying Disparate Lab Data Formats
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Solution Overview
Problem
Conventional systems lack a suitable method for conveniently sharing and interoperating genetic data across different sources, leading to 'genomic islands' where test results are scattered and difficult to access, especially for healthcare workers who need comprehensive patient data for treatment and research.
Innovation Solution
A computer-executable genetic databank application that receives, formats, and stores genetic test results from various laboratories in a uniform format, allowing access and transmission to healthcare workers and researchers, integrating with electronic health records (EHRs) for seamless data management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If genetic test results are stored in multiple discrete sources (genomic islands), then each source can maintain its own data format and storage method, but healthcare workers cannot easily access comprehensive patient genetic data across different laboratories
Solution Approach 1:
The patent combines multiple discrete genetic data sources into a single unified genetic databank that consolidates test results from various laboratories. The system merges data from different sources while maintaining a single point of access, eliminating the need for healthcare workers to contact multiple laboratories separately.
Solution Approach 2:
The genetic databank is designed as a universal system that can receive, store, and retrieve genetic test results from any laboratory regardless of the original data format. The system provides multi-functional capabilities including data reception, format conversion, storage, and retrieval through a single interface.
2Adaptability or versatility
If genetic test results are stored in various formats (PDF, JSON, XML, VCF), then each laboratory can use its preferred format, but it becomes difficult to analyze large sets of genetic data uniformly
Solution Approach 1:
The system changes the parameter of data format by converting incoming genetic test results from various formats (PDF, JSON, XML, VCF) into a unified standardized format. This parameter transformation enables uniform analysis while maintaining compatibility with diverse source formats.
Solution Approach 2:
The genetic databank acts as an intermediary that receives data in multiple formats, converts them to a standardized format, and stores them uniformly. This intermediary function bridges the gap between diverse laboratory formats and the need for uniform data analysis.
3Reliability
If healthcare workers must contact each genetic laboratory individually for test results, then each laboratory can maintain its own record-keeping system, but it consumes significant time and resources
Solution Approach 1:
The system performs preliminary action by proactively receiving and storing genetic test results from laboratories as they become available, rather than waiting for healthcare workers to request them. This advance preparation ensures data is ready for immediate retrieval, reducing access time.
Solution Approach 2:
The genetic databank enables self-service by automatically maintaining and updating the centralized repository of genetic test results. The system autonomously manages data reception, conversion, and storage, eliminating the need for manual intervention by healthcare workers to contact each laboratory.
4Reliability
If genetic data is consolidated in discrete sources, then data security and control can be maintained at each source, but interoperability between systems is hindered
Solution Approach 1:
The genetic databank serves as a secure intermediary that receives data from various laboratories through standardized interfaces. Each laboratory can maintain its own security protocols while the databank provides a controlled access point that ensures data protection and authorized retrieval by healthcare workers.
Data Source
AI summary
Described herein are various technologies pertaining to storing and transmitting formatted genetic test results. A server computing device receives genetic test results from several genetics laboratories, where the genetic test results are in different formats. The server computing device formats each of the genetic test results such that the resultant formatted genetic test results have a uniform format. The server computing device receives a query from a client computing device that is displaying a graphical user interface (GUI) of an electronic health records application (EHR), and searches over the formatted genetic test results to generate search results, wherein the query includes an identifier for a patient whose medical record is being displayed in the GUI of the EHR. The server computing device transmits the search results to the client computing device, whereupon the search results are displayed on the display of the client computing device.