PMID- 33170177
OWN - NLM
STAT- MEDLINE
DCOM- 20210625
LR  - 20210625
IS  - 2531-6745 (Electronic)
IS  - 0392-4203 (Print)
IS  - 0392-4203 (Linking)
VI  - 91
IP  - 13-S
DP  - 2020 Nov 9
TI  - appMAGI: A complete laboratory information management system for clinical 
      diagnostics.
PG  - e2020015
LID - 10.23750/abm.v91i13-S.10521 [doi]
LID - e2020015
AB  - BACKGROUND: The increasing demand for genetic testing for clinical diagnosis and 
      research challenges genetic laboratory capacity to track an increasing number of 
      patient samples through all steps of analysis, from sample collection to report 
      generation. This task is usually performed with the help of a laboratory 
      information management system (LIMS), software that makes it possible to collect, 
      store and retrieve laboratory and sample data. To date there are no open-source 
      options that can manage the entire analytical flow of a genetic laboratory. 
      appMAGI seeks to include all the management aspects of a clinical diagnostic 
      laboratory, making it simpler to process many samples while maintaining the high 
      security and quality standards required in clinical diagnostic practice. METHODS: 
      appMAGI is written in python using Django. It is a web application that does not 
      require local installation, making development, updates and maintenance a much 
      easier task. appMAGI runs on the Ubuntu server and uses SQLite as engine 
      database. RESULTS: In this work we describe an innovative LIMS called appMAGI 
      designed to support all aspects of a clinical diagnostic laboratory. appMAGI can 
      track samples throughout the diagnostic workflow and NGS analysis by virtue of a 
      customizable bioinformatics pipeline. It can handle sample non-compliance, manage 
      laboratory stocks, help generate reports and provide insights into sample data by 
      means of special tools. CONCLUSIONS: appMAGI is a LIMS endowed with all the 
      features required to manage thousands of samples. Allowing efficient management 
      of patient samples from sample collection to diagnostic report generation.
FAU - Marceddu, Giuseppe
AU  - Marceddu G
AD  - MAGI Euregio, Bolzano, Italy. giuseppe.marceddu@assomagi.org.
FAU - Dallavilla, Tiziano
AU  - Dallavilla T
AD  - MAGI'S Lab, Rovereto (TN), Italy. tiziano.dallavilla@assomagi.org.
FAU - Xhuvani, Aleksander
AU  - Xhuvani A
AD  - Polytechnic University of Tirana, Tirana, Albania. aleksander.xhuvani@upt.al.
FAU - Daja, Muharrem
AU  - Daja M
AD  - MAGI Euregio, Bolzano, Italy. muharrem.daja@assomagi.org.
FAU - De Antoni, Luca
AU  - De Antoni L
AD  - MAGI Euregio, Bolzano, Italy. luca.deantoni@assomagi.org.
FAU - Casadei, Arianna
AU  - Casadei A
AD  - MAGI Euregio, Bolzano, Italy. arianna.casadei@assomagi.org.
FAU - Bertelli, Matteo
AU  - Bertelli M
AD  - MAGI Euregio, Bolzano, Italy; MAGI'S Lab, Rovereto (TN), Italy; EBTNA-LAB, 
      Rovereto (TN), Italy. matteo.bertelli@assomagi.org.
LA  - eng
PT  - Journal Article
DEP - 20201109
PL  - Italy
TA  - Acta Biomed
JT  - Acta bio-medica : Atenei Parmensis
JID - 101295064
SB  - IM
MH  - Computer Systems
MH  - Humans
MH  - Information Management
MH  - *Laboratories
MH  - *Software
MH  - Workflow
PMC - PMC8023141
COIS- Each author declares that he or she has no commercial associations (e.g. 
      consultancies, stock ownership, equity interest, patent/licensing arrangement 
      etc.) that might pose a conflict of interest in connection with the submitted 
      article
EDAT- 2020/11/11 06:00
MHDA- 2021/06/29 06:00
PMCR- 2020/01/01
CRDT- 2020/11/10 12:12
PHST- 2020/08/24 00:00 [received]
PHST- 2020/09/17 00:00 [accepted]
PHST- 2020/11/10 12:12 [entrez]
PHST- 2020/11/11 06:00 [pubmed]
PHST- 2021/06/29 06:00 [medline]
PHST- 2020/01/01 00:00 [pmc-release]
AID - ACTA-91-15 [pii]
AID - 10.23750/abm.v91i13-S.10521 [doi]
PST - epublish
SO  - Acta Biomed. 2020 Nov 9;91(13-S):e2020015. doi: 10.23750/abm.v91i13-S.10521.