Literature DB >> 27807749

LIMS and Clinical Data Management.

Yalan Chen1,2, Yuxin Lin1, Xuye Yuan1, Bairong Shen3.   

Abstract

In order to achieve more accurate disease prevention, diagnosis, and treatment, clinical and genetic data need extensive and systematically associated study. As one way to achieve precision medicine, a laboratory information management system (LIMS) can effectively associate clinical data in a macrocosmic aspect and genomic data in a microcosmic aspect. This chapter summarizes the application of the LIMS in a clinical data management and implementation mode. It also discusses the principles of a LIMS in clinical data management, as well as the opportunities and challenges in the context of medical informatics.

Keywords:  Big data; Clinical laboratory techniques; Data management; Database

Mesh:

Year:  2016        PMID: 27807749     DOI: 10.1007/978-981-10-1503-8_9

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  4 in total

Review 1.  The ins and outs of molecular pathology reporting.

Authors:  Véronique Tack; Kelly Dufraing; Zandra C Deans; Han J van Krieken; Elisabeth M C Dequeker
Journal:  Virchows Arch       Date:  2017-03-26       Impact factor: 4.064

2.  The High-Throughput Analyses Era: Are We Ready for the Data Struggle?

Authors:  Valeria D'Argenio
Journal:  High Throughput       Date:  2018-03-02

3.  One tool to find them all: a case of data integration and querying in a distributed LIMS platform.

Authors:  Alberto Grand; Emanuele Geda; Andrea Mignone; Andrea Bertotti; Alessandro Fiori
Journal:  Database (Oxford)       Date:  2019-01-01       Impact factor: 3.451

4.  Semalytics: a semantic analytics platform for the exploration of distributed and heterogeneous cancer data in translational research.

Authors:  Andrea Mignone; Alberto Grand; Alessandro Fiori; Enzo Medico; Andrea Bertotti
Journal:  Database (Oxford)       Date:  2019-01-01       Impact factor: 3.451

  4 in total

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