Cancer Genomics Data Architecture for Modular Treatment Planning
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Solution Overview
Problem
Current cancer treatment planning systems face challenges in capturing and integrating genomic data, optimizing treatment plans, and providing user-friendly interfaces due to the complexity and variability of cancer states, lack of standardized guidelines, and inefficiencies in data integration and analysis.
Innovation Solution
A system architecture utilizing micro-services that compartmentalize data processing into loosely coupled modules, enabling rapid adaptation to new data types and user needs, with separate databases for raw data, structured data, and user-specific interfaces, facilitating efficient data handling and analytics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a comprehensive cancer treatment planning system integrates multiple data types (clinical, genomic, imaging), then the treatment optimization capability is improved, but the system complexity increases
Solution Approach 1:
The system is divided into independent microservices including genomic data processing service, clinical data processing service, imaging data processing service, treatment planning service, and results analysis service. Each microservice handles specific data types and functions independently, allowing the system to manage complexity through modular decomposition while maintaining comprehensive cancer treatment optimization capabilities.
2Loss of information
If the system processes and stores large volumes of diverse cancer data (clinical records, genomic sequencing, imaging), then the data analysis capability is improved, but the data integration complexity increases
Solution Approach 1:
The system employs microservices as intermediary components that facilitate data integration between different data sources (clinical, genomic, imaging) and the treatment planning core. Each microservice acts as a mediator that transforms and standardizes data from its specific domain into a unified format suitable for comprehensive analysis, reducing integration complexity while preserving all relevant information.
3Ease of operation
If the system provides customized interfaces for different user groups (physicians, researchers, patients), then the user accessibility is improved, but the interface complexity increases
Solution Approach 1:
The system implements customized user interfaces with local quality characteristics tailored to each user group's specific needs. Physicians receive comprehensive treatment planning tools with detailed genomic and clinical data visualization, researchers access analytical interfaces for data exploration, and patients receive simplified interfaces for understanding their treatment plans. Each interface layer is optimized for its specific user type while drawing from the same underlying microservice architecture.
Data Source
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AI summary
A method and system for conducting genomic sequencing, the method comprising storing a set of user application programs wherein each of the programs requires an application specific subset of data, for each of a plurality of patients that have cancerous cells and that receive cancer treatment, obtaining clinical records data in original forms including cancer state information, treatment types and treatment efficacy information, storing the clinical records data in a semi-structured first database, for each patient, using a genomic sequencer to generate genomic sequencing data for the patient's cancerous cells and normal cells, storing the sequencing data in the first database, shaping at least a subset of the first database data to generate system structured data including clinical record data and sequencing data wherein the system structured data is optimized for searching, storing the system structured data in a second database, for each user application program, selecting the application specific subset of data from the second database and storing the application specific subset of data in a structure optimized for application program interfacing in a third database.