Biological Entity Information Management System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for managing and tracking biological processes are inefficient, leading to siloed information, loss of valuable data, and errors in recording and sharing biological process inputs, outputs, and their derived forms, particularly in manual systems, which hinders research and development.
Innovation Solution
A system and method for managing, tracking, and recording biological process inputs, outputs, and their derived forms, featuring a user interface module for data input, a dashboard and reports module for visualization, collaboration services, search functionality, and an inventory management module, utilizing a data repository with an Entity-Attribute-Value model to store and retrieve information effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If manual methods are used to capture and store biological process information, then researchers can record data using simple tools like index cards and notebooks, but the information becomes siloed, difficult to trace, and prone to loss
Solution Approach 1:
The patent replaces manual mechanical recording systems (index cards, notebooks, personal computers) with an automated electronic information management system that uses databases, barcodes, RFID tags, and software modules to capture, store, and retrieve biological process information, thereby eliminating information silos and traceability issues
Solution Approach 2:
The patent introduces an intermediary information management system that acts as a bridge between researchers and biological process data. This system includes centralized databases, tracking modules, and reporting tools that mediate information flow across the research organization, preventing information loss and enabling efficient retrieval
2Ease of operation
If information is captured manually on index cards and personal computers, then researchers can record data individually, but the information is not effectively captured, filed, or shared across the organization
Solution Approach 1:
The patent merges分散的 (dispersed) individual recording efforts into a unified centralized information management system. Multiple data sources from different researchers and laboratories are consolidated into a single database infrastructure, enabling efficient sharing, cross-referencing, and collaborative access to biological process information
Solution Approach 2:
The patent creates a universal information management platform that serves multiple functions: data capture, storage, tracking, analysis, reporting, and sharing. This multi-functional system handles diverse biological process information (cell lines, proteins, plasmids, antibodies, transgenics) through a single integrated interface, greatly improving information management productivity
3Loss of time
If manual tracking methods are used for biological process inputs and outputs, then researchers can monitor samples individually, but tracking through multiple generations and processes becomes error-prone and inefficient
Solution Approach 1:
The patent replaces manual tracking methods with automated electronic tracking systems that use databases, barcodes, and RFID technology to automatically monitor biological process inputs and outputs through multiple generations and transformations, eliminating human error and improving both speed and accuracy
Solution Approach 2:
The patent implements feedback mechanisms where the information management system automatically updates and cross-references data as biological processes occur. The system provides real-time feedback on sample status, lineage, and transformations, enabling researchers to quickly identify and correct any tracking issues while maintaining high reliability
Data Source
AI summary
A system and method for managing, tracking and recording one or more biological process inputs, outputs and their derived forms is provided. The inputs pertaining to the biological process inputs, outputs and their derived forms are received and processed. The inputs include information related to the biological processes and the biological process inputs, outputs and their derived forms. The inputs further include information related to modifications in the biological process inputs, outputs and their derived forms. The inputs also include outputs of the biological processes. The inputs are processed by modifying the received inputs into a predefined format. Thereafter, the received inputs and processed inputs are stored. The stored inputs are accessed for managing, tracking and recording the biological processes, biological process inputs, outputs and their derived forms.