Literature DB >> 31910345

Utilization of Mobile Application for Better Implementation of Good Clinical Practice in a Biorepository Sample Collection Process: Functions of PancMoBio in Biobanking.

Lei Tian1,2,3, Kai Zhang1,2,3, Xiao Wang4, Kuirong Jiang1,2,3, Wentao Gao1,2,3, Ningxia Liang5, Xiuqin Wang5, Yi Miao1,2,3, Zipeng Lu1,2,3.   

Abstract

Preanalytical variables of biospecimens play a vital role in biobanking. Currently, there is a lack of a convenient and precise methods to document these variables. Paper documentation and computer-based Lab Information Management System software are the most common solutions, but both have clear disadvantages. An application named PancMoBio was newly developed in our pancreas biobank, with the guidance of good clinical practice principles as well as the incorporation of technical support from professional software companies. With portable electronic devices running this application, all data can be precisely collected in a synchronous manner during sample collection and processing. PancMoBio comprises two major modules-recording and searching-and five submodules in the recording module: blood sample collection, solid tumor tissue sample collection, cystic tumor sample collection, plasma sample separation, and serum sample separation. Compared with other methods, our application was found to be more convenient and accurate in recording preanalytical variables and demonstrated improved capability in facilitating real-time quality control and quality assurance. It was apparent that PancMoBio could improve the integrity of biospecimen and biobank quality management. Thus, it should be considered for further utilization in biobanking.

Entities:  

Keywords:  biobanking; good clinical practice; preanalytical variables; sample collection; smartphone application

Mesh:

Year:  2020        PMID: 31910345     DOI: 10.1089/bio.2019.0025

Source DB:  PubMed          Journal:  Biopreserv Biobank        ISSN: 1947-5543            Impact factor:   2.300


  1 in total

1.  Prevalence of Germline Sequence Variations Among Patients With Pancreatic Cancer in China.

Authors:  Lingdi Yin; Jishu Wei; Zipeng Lu; Shimeng Huang; Hao Gao; Jianmin Chen; Feng Guo; Min Tu; Bin Xiao; Chunhua Xi; Kai Zhang; Qiang Li; Junli Wu; Wentao Gao; Kuirong Jiang; Jun Yu; Yi Miao
Journal:  JAMA Netw Open       Date:  2022-02-01
  1 in total

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