Volume 4, Issue 6, November 2019, Page: 97-100
How Laboratory Information System Improves Patient Safety
Raid Jastania, Department of Pathology, Faculty of Medicine, Umm Al-Qura University, Makkah, Saudi Arabia
Received: Oct. 20, 2019;       Accepted: Nov. 4, 2019;       Published: Nov. 8, 2019
DOI: 10.11648/j.ajlm.20190406.12      View  114      Downloads  43
One of the major principles in healthcare is patient safety. Any intervention in healthcare should be safe, regardless of its benefits. The implementation of laboratory information system (LIS) has a multidimensional effect on the healthcare system. LIS plays a role in medical informatics, consumer informatic and translational bioinformatics. Nevertheless, implementation of LIS impacts patient safety in many different aspects. The aim of this paper is to investigate how patient safety can be improved by laboratory information system. The author conducted this review by searching PubMed, Google Scholar, and the World Wide Web (reports, blogs, news) for articles published in English on the following keywords were searched: laboratory information system, patient safety, and quality. We found that there is a broad framework of dimensions to evaluate LIS. The framework is based on two concepts: brain-to-brain loop process, and HOT-fit dimensions. The brain-to-brain loop process can be divided into five phases: 1) pre-test, 2) pre-analytic, 3) analytic, 4) post-analytic and 5) post-test phases. In each phase, LIS provides functions to facilitate performing different tasks. In the HOT-fit model, there are three broad dimensions that need to be analyzed and considered in LIS. These are: 1) Human dimension, 2) Organizational dimensions, and 3) Technology dimensions. LIS plays a critical role in patient safety in the components of this framework. We concluded that Implementation of LIS has certainly a multidimensional impact on patient safety in different aspects on informatics. This includes LIS roles in three field of health informatics: medical informatics, consumer informatics and translational bioinformatics. LIS can integrate these fields to provide safer healthcare.
Laboratory Information System, LIS, Patient Safety, Health Informatics, Bioinformatics
To cite this article
Raid Jastania, How Laboratory Information System Improves Patient Safety, American Journal of Laboratory Medicine. Vol. 4, No. 6, 2019, pp. 97-100. doi: 10.11648/j.ajlm.20190406.12
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Emergency Care Research Institute. Top 10 patient safety concerns for healthcare organizations 2018. Accessed March 28, 2019. https://www.ecri.org/EmailResources/PSRQ/Top10/2018_PSTop10_ExecutiveBrief.pdf.
Barry C, Edmonston TB, Gandhi S, Ganti K, Kim N, Bierl C. Implementation of Laboratory Review of Test Builds Within the Electronic Health Record Reduces Errors. Archives of Pathology & Laboratory Medicine. 2019 Oct 24.
Durning SJ, Trowbridge RL, Schuwirth L. Clinical Reasoning and Diagnostic Error: A Call to Merge Two Worlds to Improve Patient Care. Academic Medicine. 2019 Oct 15.
White R. Laboratory automation is no longer optional MLO-ONLINE.COM August 2018.
Henricks WH. Laboratory information systems. Surgical pathology clinics. 2015 Jun 1; 8 (2): 101-8.
Brenner SK, Kaushal R, Grinspan Z, Joyce C, Kim I, Allard RJ, Delgado D, Abramson EL. Effects of health information technology on patient outcomes: a systematic review. Journal of the American Medical Informatics Association. 2015 Nov 13; 23 (5): 1016-36.
Moumtzoglou A, editor. Laboratory Management Information Systems: Current Requirements and Future Perspectives: Current Requirements and Future Perspectives. IGI Global; 2014 Jul 31.
Yusof MM, Arifin A. Towards an evaluation framework for laboratory information systems. Journal of infection and public health. 2016 Nov 1; 9 (6): 766-73.
Chu RW, Cheng AY. Using information technology to eliminate wrong blood transfusions. ISBT Science Series. 2015 Apr; 10 (S1): 101-7.
Harrison JP, McDowell GM. The role of laboratory information systems in healthcare quality improvement. International journal of health care quality assurance. 2008 Oct 3; 21 (7): 679-91.
Petrides AK, Bixho I, Goonan EM, Bates DW, Shaykevich S, Lipsitz SR, Landman AB, Tanasijevic MJ, Melanson SE. The benefits and challenges of an interfaced electronic health record and laboratory information system: effects on laboratory processes. Archives of pathology & laboratory medicine. 2017 Mar; 141 (3): 410-7.
Meyer R, Lovis C. Interoperability in hospital information systems: a return-on-investment study comparing CPOE with and without laboratory integration. Studies in health technology and informatics. 2011; 169: 320-4.
Kopanitsa G, Semenov I. Patient facing decision support system for interpretation of laboratory test results. BMC medical informatics and decision making. 2018 Dec; 18 (1): 68.
Schmidt M. A culture of lab quality begins with data integrity. MLO-ONLINE.COM March 2018.
Tieman B. The role of lab automation in reducing diagnostic errors. MLO-ONLINE.COM October 2017.
Wang S, Ho V. Corrections of clinical chemistry test results in a laboratory information system. Archives of pathology & laboratory medicine. 2004 Aug; 128 (8): 890-2.
Oral B, Cullen RM, Diaz DL, Hod EA, Kratz A. Downtime procedures for the 21st century: using a fully integrated health record for uninterrupted electronic reporting of laboratory results during laboratory information system downtimes. American journal of clinical pathology. 2015 Jan 1; 143 (1): 100-4.
Renshaw AA, Gould EW. Extended laboratory information system downtime: Implementing a backup laboratory information system in the cytology laboratory. Cancer cytopathology. 2015 Jan; 123 (1): 5-6.
O’Leary JJ. 18 Pathology 2026: The Future of Laboratory Medicine and Academic Pathology.
Wortmann SB, Tarailo-Graovac M, Langeveld M, Ferreira CR, Hollak CE, Wasserman WW, Waterham HR, Wevers RA, Haack TB, Wanders RJ, Boycott KM. The role of the clinician in the multi-omics era: are you ready? Journal of inherited metabolic disease. 2018 May; 41 (3): 571-82.
Medlab Middle East. The Future of Laboratory Medicine. Accessed March 31st, 2019 https://www.medlabme.com/en/media/Industry-Updates/The-Future-of-Laboratory-Medicine.html.
Nolen JD, Futrell K, Clifford LJ, Callahan R. Laboratory Information Systems: Industry experts look ahead. MLO: medical laboratory observer. 2016 Jun; 48 (6): 28.
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