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Sample Bank Laboratory Data Management System

The Sample Bank Laboratory Data Management System (LIMS) enables centralized laboratory information management, visualization, automation, data management and traceability. The LIMS system provides timely, accurate, reliable and traceable experimental data, strengthens the monitoring of each testing process in the experimental process, improves experimental management and resource deployment, and enhances laboratory resource utilization.

-- Customized full process control

-- Support delayed reminding and recording functions

-- Display of current personnel pending tasks, delay management and list of all specimen tasks according to role

Specimen Bank Information Management System

-- Standardized management of the entire sample cycle, from collection, incoming, storage, outgoing, quality control and management of biological samples.

-- Data binding of case, case and sample information for biological samples, correlating the internal physical structure of the freezing equipment and realizing the integrity and visualization of biological sample data

-- Automation of statistical analysis of scientific research.

Sample bank research sharing platform

-- A national level data sharing platform for biological sample repositories, to be subsequently extended to city and county hospitals, requiring software coverage, compatibility and convenience of sample information for each hospital

-- To achieve all-round aggregation of sample information data from multiple centers and regions to help research collaboration projects.

In December 2017, Digital Health China (DHC) Medical assumed the "Special Project on Prevention and Control of Major Chronic Non-Communicable Diseases" of the National Key Research and Development Program of the Ministry of Science and Technology - research on the construction of clinical big data platform and biospecimen database for malignant tumors.

The projects in which Digital Health China (DHC) Medical participated are as follows.

Topic 1: Big data network technology for medical institutions, research on storage, transmission security and sharing mechanism.

Topic 2: Research on the standardized collection and analysis of medical big data based on electronic medical records and information integration platform.

Topic 3: Research on tumor big data analysis technology and artificial intelligence diagnosis standard based on super computing.

1. Based on the national standard GB/T 37864-2019 General Requirements for Quality and Competence of Biospecimen Bank, the information system of biospecimen bank is constructed, and the storage and use of data are in line with the standard specification.

2. With the construction of the specialized disease database, the system has accumulated a comprehensive standard data set covering a variety of specialized diseases, including oncology, which facilitates the standardization of disease data management requirements in the construction of the sample bank information system.

3. With big data cleaning, structuring, data compression and transmission, and multi-omics data calculation and analysis and fusion technology, the system establishes the core data storage, management and fusion analysis system of clinical multi-dimensional data with the data of the sample bank information center, and enhances the data utilization capacity of the sample bank.