Laboratory informatics

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

gollark: Oh, you are.
gollark: I repeatedly said so in esolangs. You're not there I guess.
gollark: As I repeatedly said, the issue is more the meta-level... issue... than the actual rule.
gollark: I'll contact baidicoot.
gollark: People can be on both, and they will not magically lose all those things?

See also

Further reading

References

  1. Perry, Douglas. Laboratory Informatics: Origin, Scope, and its Place in Higher Education: Journal of Laboratory Information, December 2004, 9(6), 421-428
  2. Padhee, Subhransu; Prusty, Sankata Bhanjan; Biswal, Aditya P.; Pati, Umesh Chandra (2016). "Design of an educational laboratory for measurement and data acquisition system". IEEE Students' Conference on Electrical, Electronics and Computer Science (SCEECS). Bhopal, India: IEEE: 1–6. doi:10.1109/SCEECS.2016.7509298. ISBN 978-1-4673-7918-2.
  3. "LabTwin's AI-powered Digital Assistant Now Talks Back and Connects Data Sources in the Lab with New Open API". The Scientist Magazine®. Retrieved 2020-02-26.
  4. Singh, Guru. "Why We Use Voice Technology". www.labtwin.com. Retrieved 2020-02-26.
  5. Behrman, Alison (2017-08-28). Speech and Voice Science, Third Edition. Plural Publishing. ISBN 978-1-63550-075-2.
  6. http://www.unmc.edu/pathology/clinical/clinical-programs/lab-informatics.html. Retrieved 2016-04-09
  7. https://www.aphl.org/MRC/Documents/LEI_2013Jun_Informatics-Self-Assessment-Tool-for-PHLs.pdf. Retrieved 2016-12-17
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