Biological Sample Library Management SystemThe core functions revolve around three dimensions: sample lifecycle management, environmental equipment monitoring, and data security and sharing. Through digital means, standardized, intelligent, and traceable sample management is achieved.
Biological Sample Library Management SystemDetailed description:
1、 Sample lifecycle management: full process control from collection to destruction
Sample collection and registration
Standardized information input: supports scanning, batch import, manual input and other methods to record key parameters such as sample type (such as blood, tissue, cells), collection time, collection volume, cold ischemia time, hot ischemia time, etc.
Integration of related information: Automatically associate patient/donor information (such as name, age, gender, diagnosis results), informed consent forms, ethical approval numbers, etc., to ensure that the sample source is legal and compliant.
**Identification generation: Assign barcode or QR code to each sample to achieve precise tracking of "one item, one code".
Sample transportation and reception
Transport process monitoring: Record the transport route, handover person, and delivery time, support GPS positioning and temperature monitoring (such as real-time data upload through intelligent transport boxes).
Abnormal state warning: If the temperature exceeds the standard or there is turbulence during transportation, the system will automatically trigger an alarm and notify the management personnel.
Receiving quality control: Conduct visual inspection (such as hemolysis, contamination), quantity verification, and record the receiving status (qualified/unqualified) of the samples.
Sample storage and quality control
Storage space management:
Graphic display: supports 3D visualization of refrigerators, liquid nitrogen tanks, shelf maps, and pipe maps, visually displaying storage locations and occupancy status.
Intelligent allocation: Automatically recommend the best storage location based on sample type and storage conditions (such as -80 ℃, liquid nitrogen) to avoid space waste.
Quality control process:
Regular testing: Record indicators such as RNA concentration, DNA integrity, cell activity, and contamination detection (such as mycoplasma and bacteria) of the sample.
Quality control report generation: Automatically generate quality control reports, support exporting in PDF or Excel format for scientific research analysis.
Abnormal sample handling: Mark the quality control unqualified samples as "frozen" or "destroyed", and record the reason for handling.
Sample outbound and usage
Multi level approval process: After the researchers submit the outbound application, it needs to be approved by the laboratory manager, ethics committee, and other levels to ensure that the sample is used in compliance.
Outbound Record: Record the outbound time, quantity, purpose, recipient, and other information, and associate it with the experimental project number.
Remaining sample management: Support the re storage or destruction of remaining samples after partial outbound to avoid sample waste.
Sample destruction and archiving
Destruction approval: The reason and method of destruction (such as high-pressure sterilization or incineration) must be submitted and reviewed by the ethics committee.
Destruction record: Record the destruction time, location, and executor, and upload proof of destruction (such as photos and videos).
Data archiving: Retain sample metadata (such as source and collection time) after destruction, but mark it as "destroyed" to ensure historical traceability.
2、 Environmental and equipment monitoring: ensuring sample storage quality
Real time environmental monitoring
Temperature and humidity monitoring: Real time collection of temperature and humidity data from the sample library through sensors, and automatic alarm when exceeding the standard.
Gas concentration monitoring: Monitor the oxygen and carbon dioxide concentrations in liquid nitrogen tanks to prevent sample hypoxia or contamination.
Equipment status monitoring: Record the operating status (such as on/off, fault codes) of refrigerators, liquid nitrogen tanks, centrifuges, and other equipment.
Abnormal warning and handling
Multi channel notification: push abnormal information (such as temperature exceeding the standard, equipment failure) through SMS, email, and WeChat.
Emergency plan triggering: The system automatically generates emergency response procedures (such as activating backup refrigerators, transferring samples) to guide management personnel to respond quickly.
Equipment maintenance management
Maintenance plan development: Based on equipment usage frequency and manufacturer recommendations, generate regular maintenance plans (such as quarterly calibration of temperature sensors).
Maintenance record retention: Record maintenance time, content, replacement parts, and other information to ensure equipment reliability.
3、 Data Management and Analysis: Exploring the Scientific Research Value of Samples
Data Integration and Standardization
Multi system integration: Interconnect with peripheral systems such as Hospital Information System (HIS), Laboratory Information Management System (LIMS), and Electronic Medical Record (EMR) to achieve automatic data synchronization.
Data standardization: Adopt internationally recognized standards (such as SNOMED CT, ICD-10) to encode sample attributes and ensure data consistency.
Multidimensional Retrieval and Statistics
Complex query: supports multi-dimensional combination retrieval based on sample type, collection time, diagnostic results, genotype, and other factors.
Visual report: Generate charts for sample quantity statistics, type distribution, storage capacity utilization, sample flow direction, etc., to assist decision-making.
Research support function
Sample sharing platform: Establish internal or cross institutional sample sharing libraries, supporting online application, approval, and sample allocation.
Data mining tools: integrating AI algorithms to analyze the correlation between sample data and clinical outcomes, assisting in new drug development or disease mechanism research.
4、 Permission and Security Management: Guarding Data and Sample Security
Hierarchical and hierarchical permission control
Role management: Define roles such as administrator, researcher, ethics committee member, etc., and assign different operational permissions (such as view only, editable, and approveable).
Data anonymization: anonymize sensitive information (such as patient names) to protect privacy.
Audit Tracking and Compliance
Operation trace: Record all user operations (such as login, modification, deletion), support tracing by time, user, and operation type.
Compliance certification: Complies with international standards such as 21 CFR Part 11, GDPR, HIPAA, and meets ethical audit requirements.
System security protection
Data encryption: SSL/TLS encryption is used to transmit data, and AES-256 encryption algorithm is used for storage.
Backup and Recovery: Regularly and automatically backup data, support remote disaster recovery, and ensure that data is not lost.
5、 Extended Function: Adapt to Diverse Needs
Mobile application: supports researchers to query sample information, submit outbound applications, and receive warning notifications through mobile apps.
IoT integration: seamlessly integrate with IoT devices such as smart refrigerators, liquid nitrogen tanks, and transfer boxes to achieve automated data collection.
Multi language support: meets the needs of cross-border cooperation, supports switching between multiple language interfaces such as Chinese and English.