Laboratory informatics explained
Laboratory informatics is the specialized application of information technology aimed at optimizing and extending laboratory operations.[1] It encompasses data acquisition (e.g. through sensors and hardware[2] or voice[3] [4] [5]), instrument interfacing, laboratory networking, data processing, specialized data management systems (such as a chromatography data system), a laboratory information management system, scientific data management (including data mining and data warehousing), and knowledge management (including the use of an electronic lab notebook). It has become more prevalent with the rise of other "informatics" disciplines such as bioinformatics, cheminformatics and health informatics. Several graduate programs are focused on some form of laboratory informatics, often with a clinical emphasis.[6] A closely related - some consider subsuming - field is laboratory automation.
Capability Areas
In the context of Public Health Laboratories, the Association of Public Health Laboratories has identified 19 areas for self-assessment of laboratory informatics in their Laboratories Efficiencies Initiative.[7] These include the following Capability Areas.
- Laboratory Test Request and Sample Receiving
- Test Preparation, LIMS Processing, Test Results Recording and Verification
- Report Preparation and Distribution
- Laboratory Test Scheduling
- Prescheduled Testing
- Specimen and Sample Tracking/Chain of Custody
- Media, Reagents, Controls: Manufacturing and Inventory
- Interoperability and Data Exchange
- Statistical Analysis and Surveillance
- Billing for Laboratory Services
- Contract and Grant Management
- Training, Education and Resource Management
- Laboratory Certifications/Licensing
- Customer Relationship Management
- Quality Control (QC) and Quality Assurance (QA) Management
- Laboratory Safety and Accident Investigation
- Laboratory Mutual Assistance/Disaster Recovery
- Core IT Service Management: Hardware, Software and Services
- Policies and Procedures, including Budgeting and Funding
Sub-topics
Organizations
Publications
See also
Further reading
- Nakagawa, Allen S., LIMS implementation and management, Cambridge: Royal Society of Chemistry, 1994
- Liscouski, Joe, Laboratory and Scientific Computing a Strategic Approach, John Wiley & Sons, New York, 1995
- Gibbon, Gerst, "A Brief History of LIMS", Laboratory Automation and Information Management 1996, 32(1), 1-5
- Myers, J. D.; Fox-Dobbs, C.; Laird, J.; Le, Dai; Reich, D.; Curtz, T., "Electronic laboratory notebooks for collaborative research", In Proceedings of the 5th International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises (WET ICE'96) (WET-ICE '96) IEEE Computer Society, Washington, DC, USA, 1996, 47-.
- Paszko, Christine; Pugsley, Carol, "Considerations in selecting a laboratory information management system (LIMS)", American Laboratory, 2000, 32(18), 38-42
- Paszko, Christine; Turner, Elizabeth; Hinton, Mary D., Laboratory Information Management Systems, Revised & Expanded. CRC Press, 2001
- Tracy, Douglas S.; Nash, Robert A., "A Validation Approach for Laboratory Information Management Systems", Journal of Validation Technology, 2002, 9(1), 6-14
- Perry, Douglas, "Laboratory Informatics: Origin, Scope, and its Place in Higher Education", Journal of the Association for Laboratory Automation, 2004, 9(6), 421 - 428
- Sterling, James D., "Laboratory Automation Education", Journal of the Association for Laboratory Automation, 2004, 9(5), A11-A12
- Sterling, James D., "Laboratory automation curriculum at Keck Graduate Institute", Journal of the Association for Laboratory Automation, 2004, 9(5), 331-335
- Taylor, Keith, "The status of electronic laboratory notebooks for chemistry and biology", Current Opinion in Drug Discovery & Development, 2006, 9(3): 348-353
- Wood, Simon, "Comprehensive Laboratory Informatics: A Multilayer Approach", American Laboratory, 2007, 39(16), 20-23
- Metrick, Gloria, "Three Issues of LIMS/Laboratory Informatics That Can Cost Money", American Laboratory, 2007, 39(21), 10-11
- Calva, Diana; Lehman, Mario, "An analysis of the possible applications of Artificial Intelligence Techniques to a Clinical Laboratory Information Management System", International Journal of Computer Science and Network Security, 2008, 8(12), 82-86
- Shah, Kim, "Elevating laboratory informatics to assist decision-making", Pharmaceutical Technology Europe, 2009, 21(5)
Notes and References
- Perry, Douglas. Laboratory Informatics: Origin, Scope, and its Place in Higher Education: Journal of Laboratory Information, December 2004, 9(6), 421-428
- Book: Padhee. Subhransu. Prusty. Sankata Bhanjan. Biswal. Aditya P.. Pati. Umesh Chandra. 2016 IEEE Students' Conference on Electrical, Electronics and Computer Science (SCEECS) . Design of an educational laboratory for measurement and data acquisition system . 2016. Bhopal, India. IEEE. 1–6. 10.1109/SCEECS.2016.7509298. 978-1-4673-7918-2. 8891397.
- Web site: LabTwin's AI-powered Digital Assistant Now Talks Back and Connects Data Sources in the Lab with New Open API. The Scientist Magazine®. en. 2020-02-26.
- Web site: Why We Use Voice Technology. Singh. Guru. www.labtwin.com. en. 2020-02-26.
- Book: Behrman, Alison. Speech and Voice Science, Third Edition. 2017-08-28. Plural Publishing. 978-1-63550-075-2. en.
- Web site: Laboratory Informatics . University of Nebraska Medical Center . 2016-04-09 . https://web.archive.org/web/20150512064733/http://www.unmc.edu/pathology/clinical/clinical-programs/lab-informatics.html . 2015-05-12 . dead.
- Web site: Informatics Self-Assessment Tool for Public Health Laboratories . www.aphl.org . 2016-12-17 . 2013 . https://web.archive.org/web/20161220185749/https://www.aphl.org/MRC/Documents/LEI_2013Jun_Informatics-Self-Assessment-Tool-for-PHLs.pdf . 2016-12-20 . dead.
