Laboratory Information Management Systems

2016 ◽  
pp. 313-326
Author(s):  
Patrizia Colangeli ◽  
Fabrizio De Massis ◽  
Francesca Cito ◽  
Maria Teresa Mercante ◽  
Lucilla Ricci
Keyword(s):  
Public Health ◽  
Information Management ◽  
Data Exchange ◽  
Laboratory Data ◽  
Information Management System ◽  
Veterinary Public Health ◽  
Data Encoding ◽  
Outbreak Investigations ◽  
Information Management Systems ◽  
Laboratory Information Management

The Laboratory Information Management System (LIMS) is recognized as a powerful tool to improve laboratory data management and to report human health as well as veterinary public health. LIMS plays an essential role in public health surveillance, outbreak investigations, and pandemic preparedness. The chapter aims is to provide an overview of LIMS use in veterinary fields as well as to report 20 years of experience of a Veterinary Public Institute in working with LIMS, illustrating the features of the LIMS currently in use in the institute and highlighting the different aspects that should be considered when evaluating, choosing, and implementing a LIMS. In depth, the chapter illustrates how LIMS simplifies the accreditation path according to ISO IEC 17025 and the role in the epidemiology and veterinary public health. For this aspect, it is very important to collect clear data, and for this reason, a LIMS has to activate formal checks and controls on business rules. To facilitate this issue, an interconnection between LIMS and other applications (internal or external to laboratory) could be improved to allow automatic data exchange. At the same time, the unique data encoding at national/international level should be used.

Laboratory Information Management Systems

2015 ◽  
pp. 297-309 ◽  
Author(s):  
Patrizia Colangeli ◽  
Fabrizio De Massis ◽  
Francesca Cito ◽  
Maria Teresa Mercante ◽  
Lucilla Ricci
Keyword(s):  
Public Health ◽  
Information Management ◽  
Data Exchange ◽  
Laboratory Data ◽  
Information Management System ◽  
Veterinary Public Health ◽  
Data Encoding ◽  
Outbreak Investigations ◽  
Information Management Systems ◽  
Laboratory Information Management

The Laboratory Information Management System (LIMS) is recognized as a powerful tool to improve laboratory data management and to report human health as well as veterinary public health. LIMS plays an essential role in public health surveillance, outbreak investigations, and pandemic preparedness. The chapter aims is to provide an overview of LIMS use in veterinary fields as well as to report 20 years of experience of a Veterinary Public Institute in working with LIMS, illustrating the features of the LIMS currently in use in the institute and highlighting the different aspects that should be considered when evaluating, choosing, and implementing a LIMS. In depth, the chapter illustrates how LIMS simplifies the accreditation path according to ISO IEC 17025 and the role in the epidemiology and veterinary public health. For this aspect, it is very important to collect clear data, and for this reason, a LIMS has to activate formal checks and controls on business rules. To facilitate this issue, an interconnection between LIMS and other applications (internal or external to laboratory) could be improved to allow automatic data exchange. At the same time, the unique data encoding at national/international level should be used.

scholarly journals Laboratory Information Management Systems for Electron Microscopy: Evaluation of the 4CeeD Data Curation Platform

2019 ◽  
Vol 124 ◽  
Author(s):  
June W. Lau ◽  
Rachel F. Devers ◽  
Marcus Newrock ◽  
Gretchen Greene
Keyword(s):  
Electron Microscopy ◽  
Information Management ◽  
Laboratory Information Management System ◽  
Information Management System ◽  
Lessons Learned ◽  
Management Systems ◽  
Data Infrastructure ◽  
Information Management Systems ◽  
Laboratory Information Management Systems ◽  
Laboratory Information Management

An evaluation of the feasibility and the requirements associated with a facility-wide deployment of a laboratory information management system (LIMS) at an electron microscopy facility was conducted. 4CeeD, an open-source LIMS, was selected for the focus study. This report summarizes data infrastructure prerequisites, critical and desirable features, and lessons learned from using and interacting with 4CeeD, and broader LIMS adoption recommendations for this facility.

scholarly journals Managing data: LIMS implementation in drug discovery

2005 ◽  
Vol 27 (6) ◽  
pp. 27-29 ◽  
Author(s):  
Don Crossett
Keyword(s):  
Drug Discovery ◽  
Information Management ◽  
Development Process ◽  
Laboratory Information Management System ◽  
Laboratory Data ◽  
Information Management System ◽  
Federal Drug Administration ◽  
Drug Discovery And Development ◽  
Bioinformatic Tools ◽  
Laboratory Information Management

It is estimated that it takes approximately $1.25 billion1 and more than 10 years for the drug discovery and development process to be completed and a new drug to be brought to market. During all of this long process, from pre-clinical testing to product development and approval from the FDA (Federal Drug Administration), a wealth of data from a wide variety of bioinformatic tools are collected, integrated and analysed in order to lead to the next big discovery. This is why there are many analysts who believe that an effective Laboratory Information Management System (LIMS) to collect and manage laboratory data can save millions of dollars from the overall associated costs.

scholarly journals Laboratory Information Management System Chain of Custody: Reliability and Security

2006 ◽  
Vol 2006 ◽  
pp. 1-4 ◽  
Author(s):  
J. J. Tomlinson ◽  
W. Elliott-Smith ◽  
T. Radosta
Keyword(s):  
Information Management ◽  
Drugs Of Abuse ◽  
Information Management System ◽  
Regulatory Agencies ◽  
Electronic Signatures ◽  
Chain Of Custody ◽  
Information Management Systems ◽  
Laboratory Information Management Systems ◽  
A Chain ◽  
Laboratory Information Management

A chain of custody (COC) is required in many laboratories that handle forensics, drugs of abuse, environmental, clinical, and DNA testing, as well as other laboratories that want to assure reliability of reported results. Maintaining a dependable COC can be laborious, but with the recent establishment of the criteria for electronic records and signatures by US regulatory agencies, laboratory information management systems (LIMSs) are now being developed to fully automate COCs. The extent of automation and of data reliability can vary, and FDA- and EPA-compliant electronic signatures and system security are rare.

Overview of Requirements and Future Perspectives on Current Laboratory Information Management Systems

2015 ◽  
pp. 67-82
Author(s):  
Viroj Wiwanitkit
Keyword(s):  
Information Management ◽  
Point Of Care ◽  
Information Management System ◽  
Advanced Technology ◽  
Future Perspectives ◽  
Medical Laboratories ◽  
Information Management Systems ◽  
Laboratory Information Management Systems ◽  
General Work ◽  
Laboratory Information Management

The chapter argues that a Laboratory Information Management System (LIMS) is the application of computational technology in laboratory medicine. This is an advanced technology that can support the general work in medical laboratories. The LIMS can also be useful in all steps of the laboratory cycle (pre-, intra-, and post-analytical phases). There are many LIMSs at present, and those LIMSs are used worldwide. The present concern is on the standardization of the existing system. In this context, international collaboration to set the standards is required. In addition, the multidisciplinary approach to add up the advantage and application of the technology is promising. With the more advanced computational and wireless information technology, the next step of LIMS will be big wireless LIMS networks that extend from medical laboratories and wards within the hospital to outside units as well as patient homes. The point-of-care LIMSs are the actual future perspectives.

scholarly journals Contributing to Communicable Diseases Intelligence Management in Canada: CACMID Meeting, March 2007, Halifax, Nova Scotia

2007 ◽  
Vol 18 (6) ◽  
pp. 353-356 ◽  
Author(s):  
Shamir Mukhi ◽  
Jeff Aramini ◽  
Amin Kabani
Keyword(s):  
Public Health ◽  
Information Management ◽  
Data Exchange ◽  
Public Health Surveillance ◽  
New Technologies ◽  
Health Agency ◽  
Information Management System ◽  
Health Surveillance ◽  
Data Repositories ◽  
National Public Health

In the spring of 2003, the Public Health Agency of Canada (then, Health Canada) partnered with several provincial/territorial and regional public health stakeholders to improve pan-Canadian public health surveillance, communications and response through the application of new technologies. This resulted in the creation of the Canadian Network for Public Health Intelligence (CNPHI), a comprehensive framework of applications and resources designed to fill critical gaps in Canada's national public health infostructure. Over the past four years, the CNPHI has evolved into Canada's only pan-Canadian public health information management system. With over 2000 registered users, the current CNPHI environment consists of more than 30 integrated applications and systems that can be loosely categorized into four functional groups: data exchange; data analysis and integration; communication, collaboration and coordination; and knowledge management. Despite poor data repositories, legacy information management systems, and the lack of standards and agreements, the CNPHI has demonstrated that much can be accomplished in these areas. Over the next decade, significant barriers impeding additional advances will be bridged through the implementation of the Electronic Health Record, and through ongoing efforts to address gaps in standards, and data- and information-sharing agreements. Together with new technologies coming on-line, opportunities to further enhance public health surveillance and response will be limited only by one's imagination.

scholarly journals Data standardization implementation and applications within and among diagnostic laboratories: integrating and monitoring enteric coronaviruses

2021 ◽  
pp. 104063872110021
Author(s):  
Giovani Trevisan ◽  
Leticia C. M. Linhares ◽  
Kent J. Schwartz ◽  
Eric R. Burrough ◽  
Edison de S. Magalhães ◽  
...  
Keyword(s):  
Seasonal Pattern ◽  
Laboratory Data ◽  
Information Management System ◽  
Transmissible Gastroenteritis Virus ◽  
Test Results ◽  
Diarrhea Virus ◽  
Oral Fluids ◽  
Transmissible Gastroenteritis ◽  
Technology Processes ◽  
Laboratory Information Management

Every day, thousands of samples from diverse populations of animals are submitted to veterinary diagnostic laboratories (VDLs) for testing. Each VDL has its own laboratory information management system (LIMS), with processes and procedures to capture submission information, perform laboratory tests, define the boundaries of test results (i.e., positive or negative), and report results, in addition to internal business and accounting applications. Enormous quantities of data are accumulated and stored within VDL LIMSs. There is a need for platforms that allow VDLs to exchange and share portions of laboratory data using standardized, reliable, and sustainable information technology processes. Here we report concepts and applications for standardization and aggregation of data from swine submissions to multiple VDLs to detect and monitor porcine enteric coronaviruses by RT-PCR. Oral fluids, feces, and fecal swabs were the specimens submitted most frequently for enteric coronavirus testing. Statistical algorithms were used successfully to scan and monitor the overall and state-specific percentage of positive submissions. Major findings revealed a consistently recurrent seasonal pattern, with the highest percentage of positive submissions detected during December–February for porcine epidemic diarrhea virus, porcine deltacoronavirus, and transmissible gastroenteritis virus (TGEV). After 2014, very few submissions tested positive for TGEV. Monitoring VDL data proactively has the potential to signal and alert stakeholders early of significant changes from expected detection. We demonstrate the importance of, and applications for, data organized and aggregated by using LOINC and SNOMED CTs, as well as the use of customized messaging to allow inter-VDL exchange of information.

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