1887

Chapter 24 : The Laboratory Information System: Making the Most of It in the Clinical Microbiology Laboratory

MyBook is a cheap paperback edition of the original book and will be sold at uniform, low price.

Ebook: Choose a downloadable PDF or ePub file. Chapter is a downloadable PDF file. File must be downloaded within 48 hours of purchase

Buy this Chapter
Digital (?) $30.00

Preview this chapter:
Zoom in
Zoomout

The Laboratory Information System: Making the Most of It in the Clinical Microbiology Laboratory, Page 1 of 2

| /docserver/preview/fulltext/10.1128/9781555817282/9781555817275_Chap24-1.gif /docserver/preview/fulltext/10.1128/9781555817282/9781555817275_Chap24-2.gif

Abstract:

A transformation affecting the workflow and information management in microbiology laboratories is the shift from diagnostic testing based on culture, antigen detection, antibody detection, and microscopy to a greater dependence upon molecular technologies. The responsibilities of the microbiology laboratory leadership team are becoming more informatics-centric as well. This chapter reviews the principles of laboratory informatics and the architecture of information system. A laboratory information system (LIS) consists of one or more servers that provide the array of services, and the information entered into, stored within, and reported from the LIS is directly or indirectly related to laboratory testing. Typically encountered interfaces between the LIS and other information systems include admission/discharge/transfer (ADT) interface and order-entry interface. Long-term storage and retrieval of laboratory data can be easily accommodated by a suitably configured LIS. The current emphasis by payors and healthcare accrediting agencies on utilization review of laboratory services and quality assurance analysis of laboratory testing requires that laboratory activity be evaluated on a regular basis. The chapter discusses the manner in which the LIS can serve to enhance the cost-effectiveness and accuracy of microbiology testing. The clinical laboratory, including the microbiology laboratory, is an ideal candidate for lean/Six Sigma reorganization. Leveraging the capabilities of the LIS to track bar-coded specimens, to connect with testing instruments to improve error-free data flow, and to display laboratory productivity snapshots on workstation dashboards are all important components of a program to pursue excellence in laboratory testing.

Citation: Campos J. 2014. The Laboratory Information System: Making the Most of It in the Clinical Microbiology Laboratory, p 458-470. In Garcia L (ed), Clinical Laboratory Management, Second Edition. ASM Press, Washington, DC. doi: 10.1128/9781555817282.ch24

Key Concept Ranking

Antimicrobial Susceptibility Testing
0.42919204
0.42919204
Highlighted Text: Show | Hide
Loading full text...

Full text loading...

References

/content/book/10.1128/9781555817282.chap24
1. Balis, U. J. 1999. Alternative careers in the laboratory reengineering paradigm. Clin. Lab. Med. 19:453461. [PubMed]
2. Bazzoli, F. 1999. Laboratory systems evolve to meet data demands. Health Data Manag. 7:6671. [PubMed]
3. Block, C. 1997. Benefits and limitations of computerized laboratory data. J. Clin. Pathol. 50:448449. [PubMed]
4. Campos, J. M., 2007. Laboratory consultation, communication, and information systems, p. 3042. In P. R. Murray,, E. J. Baron,, J. H. Jorgensen,, M. A. Pfaller,, and R. H. Yolken (ed.), Manual of Clinical Microbiology, 9th ed. ASM Press, Washington, DC.
5. Carter, E.,, J. R. Stubbs,, and B. Bennett. 2004. A model for consolidation of clinical microbiology laboratory services within a multihospital health-care system. Clin. Leadersh. Manag. Rev. 18:211215. [PubMed]
6.Clinical and Laboratory Standards Institute. 2009. Analysis and presentation of cumulative antimicrobial susceptibility test data; approved guideline,3rd ed. CLSI document M39-A3. Clinical and Laboratory Standards Institute, Wayne, PA.
7. Elevitch, F. R. 1999. Prospecting for gold in the data mine. Clin. Lab. Med. 19:373384. [PubMed]
8. Greub, G.,, and G. Prod'hom. 2011. Automation in clinical bacteriology: what system to choose? Clin. Microbiol. Infect. 17:655660. [PubMed][CrossRef]
9. Grisson, R.,, J. Y. Kim,, V. Brodsky,, I. K. Kamis,, B. Singh,, S. M. Belkziz,, S. Batra,, H. J. Myers,, A. Demyanov,, and A. S. Dighe. 2010. A novel class of middleware: promoting information flow and improving computerized provider order entry. Am. J. Clin. Pathol. 133:860869. [PubMed][CrossRef]
10. Hacek, D. M.,, R. L. Cordell,, G. A. Noskin,, and L. R. Peterson. 2004. Computer-assisted surveillance for detecting clonal outbreaks of nosocomial infection. J. Clin. Microbiol. 42:11701175. [PubMed]
11. Harrison, J. P.,, and G. M. McDowell. 2008. The role of laboratory information systems in healthcare quality improvement. Int. J. Health Care Qual. Assur. 21:679691. [PubMed]
12. Henricks, W. H. 2011. “Meaningful use” of electronic health records and its relevance to laboratories and pathologists. J. Pathol. Inform. 2:7. [PubMed][CrossRef]
13. Huet, B. 1998. Hospital information system: reusability, designing, modeling, recommendations for implementing. Medinfo 9:952956.
14. Kay, J. D. 2001. Communicating with clinicians. Ann. Clin. Biochem. 38(Pt 2):103110. [PubMed]
15. Kenney, C. 2011. Transforming Health Care: Virginia Mason Medical Center's Pursuit of the Perfect Patient Experience. Productivity Press, New York, NY.
16. Kern, D. A.,, and S. T. Bennett. 1999. Quality improvement in the information age. MLO Med. Lab. Obs. 31:2428. [PubMed]
17. Lincoln, T. L. 1999. Re-engineering the clinical laboratory. An overview. Clin. Lab. Med. 19:265276. [PubMed]
18. McClintock, D. S.,, B. P. Levy,, W. J. Lane,, R. E. Lee,, J. M. Baron,, V. E. Klepeis,, M. L. Onozato,, J. Y. Kim,, A. S. Dighe,, B. A. Beckwith,, F. Kuo,, S. Black-Schaffer,, and J. R. Gilbertson. 2012. A core curriculum for clinical fellowship training in pathology informatics. J. Pathol. Inform. 3:31. [PubMed][CrossRef]
19. McPherson, R. A. 1999. Perspective on the clinical laboratory: new uses for informatics. J. Clin. Lab. Anal. 13:5358. [PubMed]
20. Meyer, R.,, and C. Lovis. 2011. Interoperability in hospital information systems: a return-on-investment study comparing CPOE with and without laboratory integration. Stud. Health Technol. Inform. 169:320324. [PubMed]
21. Miller, W. G. 2000. The changing role of the medical technologist from technologist to information specialist. Clin. Leadersh. Manag. Rev. 14:285288. [PubMed]
22. Nichols, L. M. 2012. Accountable care organization pathways: diverse but ultimately parallel. Mayo Clin. Proc. 87:710713. [PubMed][CrossRef]
23. Nutting, P. A.,, D. S. Main,, P. M. Fischer,, T. M. Stull,, M. Pontious,, M. Seifert, Jr.,, D. J. Boone,, and S. Holcomb. 1996. Toward optimal laboratory use. Problems in laboratory testing in primary care. JAMA 275:635639. [PubMed]
24. Oakley, S. 1999. Data mining, distributed networks, and the laboratory. Health Manag. Technol. 20:2631. [PubMed]
25. Pantanowitz, L.,, W. LaBranche,, and W. Lareau. 2010. Stepwise approach to establishing multiple outreach laboratory information system–electronic medical record interfaces. J. Pathol. Inform. May 26:1. [PubMed][CrossRef]
26. Pantanowitz, L.,, W. H. Henricks,, and B. A. Beckwith. 2007. Medical laboratory informatics. Clin. Lab. Med. 27:823843. [PubMed][CrossRef]
27. Park W. S.,, S. Y. Yi,, S. A. Kim,, J. S. Song,, and Y. H Kwak. 2005. Association between the implementation of a laboratory information system and the revenue of a general hospital. Arch. Pathol. Lab. Med. 129:766771. [PubMed][CrossRef]
28. Peterson, K. E.,, D. Hacek,, A. Robicsek,, R. B. Thomson Jr.,, and L. R. Peterson. 2012. Electronic surveillance for infectious disease trend analysis following a quality improvement intervention. Infect. Control Hosp. Epidemiol. 33:790795. [PubMed][CrossRef]
29. Workman, R. D.,, M. J. Lewis,, and B. T. Hill. 2000. Enhancing the financial performance of a health system laboratory network using an information system. Am. J. Clin. Pathol. 114:915. [PubMed][CrossRef]

This is a required field
Please enter a valid email address
Please check the format of the address you have entered.
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error