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Combinatorial Chemistry & High Throughput Screening

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ISSN (Print): 1386-2073
ISSN (Online): 1875-5402

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Systematic Review Article

The Role of Laboratory Information System in Improving the Delivery of Laboratory Services: A Recent Systematic Review

Author(s): Souad Marwan Alenazi* and Bussma Ahmed Bugis

Volume 26, Issue 8, 2023

Published on: 24 October, 2022

Page: [1451 - 1460] Pages: 10

DOI: 10.2174/1386207325666220914112713

Price: $65

Abstract

Background: Recently, laboratory information systems (LIS) have become necessary for every laboratory to improve the decision-making process and achieve better treatment and diagnostic results. By standardizing laboratory's tests, procedures, and workflows, the software enables laboratories to improve patient care, reduce human error, and constructively lower operating costs. Implementing LIS has a multidimensional impact on improving the delivery of laboratory services.

Objectives: This paper aims to investigate how patient services can be improved by laboratory information system.

Methods: This paper is based on a review conducted by searching PubMed, Google Scholar, Saudi Digital Library and Research Gate for English language articles published from 2015 to 2021 and focused primarily on laboratory information systems.

Results: The literature searches yielded a total of 30 articles that were then initially screened based on the titles and abstracts. Seven articles were excluded because they did not primarily address LIMS for biosafety, automated verification of test results in the core clinical laboratory, clinical biochemistry, or the impact of health information technology on patient safety, or were not written in English. The remaining 23 articles were then screened in full text.

Conclusion: Advanced laboratory information systems may eliminate diagnostic errors in the preanalytical, analytical, and postanalytical phases. In addition, they can incorporate genomic data at the analytical stage to generate useful reports for providers and patients.

Keywords: Laboratory, Health services, Service delivery, Information system

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Graphical Abstract

[1]
Sinard, J.H.; Castellani, W.J.; Wilkerson, M.L.; Henricks, W.H. Stand-alone laboratory information systems versus laboratory modules incorporated in the electronic health record. Arch. Pathol. Lab. Med., 2015, 139(3), 311-318.
[http://dx.doi.org/10.5858/arpa.2013-0711-SO] [PMID: 25724027]
[2]
Agharezaei, Z.; Khajouei, R.; Ahmadian, L.; Agharezaei, L. Compliance with design principles: A case study of a widely used laboratory information system. East. Mediterr. Health J., 2020, 26(12), 1456-1464.
[http://dx.doi.org/10.26719/emhj.20.029] [PMID: 33355384]
[3]
Aldosari, B.; Gadi, H.A.; Alanazi, A.; Househ, M. Surveying the influence of laboratory information system: An end-user perspective. Inform. Med. Unlocked, 2017, 9, 200-209.
[http://dx.doi.org/10.1016/j.imu.2017.09.002]
[4]
Farzandipour, M.; Meidani, Z.; Sadeqi Jabali, M.; Dehghan Bnadaki, R. Designing and evaluating functional laboratory information system requirements integrated to hospital information systems. J. Eval. Clin. Pract., 2019, 25(5), 788-799.
[http://dx.doi.org/10.1111/jep.13074] [PMID: 30485608]
[5]
Wilkerson, M.L.; Henricks, W.H.; Castellani, W.J.; Whitsitt, M.S.; Sinard, J.H. Management of laboratory data and information exchange in the electronic health record. Arch. Pathol. Lab. Med., 2015, 139(3), 319-327.
[http://dx.doi.org/10.5858/arpa.2013-0712-SO] [PMID: 25724028]
[6]
Moumtzoglou, A.; Kastania, A.; Archondakis, S. Laboratory Management Information Systems: Current Requirements and Future Perspectives, 1st ed; IGI Global, 2015.
[http://dx.doi.org/10.4018/978-1-4666-6320-6]
[7]
Cucoranu, I.C. Laboratory information systems management and operations. Clin. Lab. Med., 2016, 36(1), 51-56.
[http://dx.doi.org/10.1016/j.cll.2015.09.006] [PMID: 26851664]
[8]
Leitmeyer, K.C.; Espinosa, L.; Broberg, E.K.; Struelens, M.J. Automated digital reporting of clinical laboratory information to national public health surveillance systems, results of a EU/EEA survey, 2018. Euro Surveill., 2020, 25(39)1900591
[http://dx.doi.org/10.2807/1560-7917.ES.2020.25.39.1900591] [PMID: 33006301]
[9]
Plebani, M. Performance specifications for the extra-analytical phases of laboratory testing: Why and how. Clin. Biochem., 2017, 50(10-11), 550-554.
[http://dx.doi.org/10.1016/j.clinbiochem.2017.02.002] [PMID: 28167246]
[10]
Boyar, K.; Pham, A.; Swantek, S.; Ward, G.; Herman, G. Laboratory information management systems (LIMS).In: Cannabis Laboratory Fundamentals; Shaun, R.O., Ed.; Springer International Publishing, 2021, pp. 131-151.
[http://dx.doi.org/10.1007/978-3-030-62716-4_7]
[11]
Mtonga, T.M.; Choonara, F.E.; Espino, J.U.; Kachaje, C.; Kapundi, K.; Mengezi, T.E.; Mumba, S.L.; Douglas, G.P. Design and implementation of a clinical laboratory information system in a low-resource setting. Afr. J. Lab. Med., 2019, 8(1), 841.
[http://dx.doi.org/10.4102/ajlm.v8i1.841] [PMID: 31745456]
[12]
Petrides, A.K.; Tanasijevic, M.J.; Goonan, E.M.; Landman, A.B.; Kantartjis, M.; Bates, D.W.; Melanson, S.E.F. Top ten challenges when interfacing a laboratory information system to an electronic health record: Experience at a large academic medical center. Int. J. Med. Inform., 2017, 106, 9-16.
[http://dx.doi.org/10.1016/j.ijmedinf.2017.06.008] [PMID: 28870384]
[13]
Petrides, A.K.; Bixho, I.; Goonan, E.M.; Bates, D.W.; Shaykevich, S.; Lipsitz, S.R.; Landman, A.B.; Tanasijevic, M.J.; Melanson, S.E.F. The benefits and challenges of an interfaced electronic health record and laboratory information system: Effects on laboratory processes. Arch. Pathol. Lab. Med., 2017, 141(3), 410-417.
[http://dx.doi.org/10.5858/arpa.2016-0146-OA] [PMID: 28234574]
[14]
Rimac, V.; Lapić, I.; Kules, K.; Rogic, D.; Miler, M. Implementation of the autovalidation algorithm for clinical chemistry testing in the laboratory information system. Lab. Med., 2018, 49(3), 284-291.
[http://dx.doi.org/10.1093/labmed/lmx089] [PMID: 29432621]
[15]
Thomas, J. Implementation of a laboratory information system in a simulated laboratory. Clin. Lab. Sci., 2017, 30(2), 92-98.
[http://dx.doi.org/10.29074/ascls.30.2.92]
[16]
Jin, D.; Wang, Q.; Peng, D.; Wang, J.; Li, B.; Cheng, Y.; Mo, N.; Deng, X.; Tao, R. Development and implementation of an LIS-based validation system for autoverification toward zero defects in the automated reporting of laboratory test results. BMC Med. Inform. Decis. Mak., 2021, 21(1), 174.
[http://dx.doi.org/10.1186/s12911-021-01545-3] [PMID: 34078363]
[17]
Wang, Z.; Peng, C.; Kang, H.; Fan, X.; Mu, R.; Zhou, L.; He, M.; Qu, B. Design and evaluation of a LIS-based autoverification system for coagulation assays in a core clinical laboratory. BMC Med. Inform. Decis. Mak., 2019, 19(1), 123.
[http://dx.doi.org/10.1186/s12911-019-0848-2] [PMID: 31269951]
[18]
Barry, C.; Edmonston, T.B.; Gandhi, S.; Ganti, K.; Kim, N.; Bierl, C. Implementation of laboratory review of test builds within the electronic health record reduces errors. Arch. Pathol. Lab. Med., 2020, 144(6), 742-747.
[http://dx.doi.org/10.5858/arpa.2019-0239-OA] [PMID: 31647317]
[19]
Raymond, L.; Maillet, É.; Trudel, M.C.; Marsan, J.; de Guinea, A.O.; Paré, G. Advancing laboratory medicine in hospitals through health information exchange: A survey of specialist physicians in Canada. BMC Med. Inform. Decis. Mak., 2020, 20(1), 44.
[http://dx.doi.org/10.1186/s12911-020-1061-z] [PMID: 32111203]
[20]
Song, Y.E.; Kang, H.; Park, H. Algorithm to estimate the extended turnaround time including outpatient waiting time for blood specimen collection when a stand-alone queue ticket system not connectable to laboratory information system is used. Ann. Clin. Lab. Sci., 2018, 48(6), 726-735.
[PMID: 30610042]
[21]
Ngafeeson, M.N. Healthcare information systems opportunities and challenges.In: Encyclopedia of Information Science and Technology, 3rd ed; Khosrow-Pour, M., Ed.; IGI Global; , 2015, pp. 3387-3395.
[http://dx.doi.org/10.4018/978-1-4666-5888-2.ch332]
[22]
Yan, C.; Zhang, Y.; Li, J.; Gao, J.; Cui, C.; Zhang, C.; Song, G.; Yu, M.; Mu, J.; Chen, F.; Han, X.; Cui, W. Establishing and validating of an laboratory information system‐based auto‐verification system for biochemical test results in cancer patients. J. Clin. Lab. Anal., 2019, 33(5)e22877
[http://dx.doi.org/10.1002/jcla.22877] [PMID: 30843281]
[23]
Zawawi, R.; Justinia, T. Laboratory information systems and analytical turnaround time. Global J. Res. Rev., 2017, 4(1), 1-12.
[http://dx.doi.org/10.21767/2393-8854.10005]
[24]
Henricks, W.H. Laboratory information systems. Surg. Pathol. Clin., 2015, 8(2), 101-108.
[http://dx.doi.org/10.1016/j.path.2015.02.016] [PMID: 26065785]
[25]
Westbrook, J.I.; Baysari, M.T.; Li, L.; Burke, R.; Richardson, K.L.; Day, R.O. The safety of electronic prescribing: Manifestations, mechanisms, and rates of system-related errors associated with two commercial systems in hospitals. J. Am. Med. Inform. Assoc., 2013, 20(6), 1159-1167.
[http://dx.doi.org/10.1136/amiajnl-2013-001745] [PMID: 23721982]
[26]
Pogue, J.M.; Potoski, B.A.; Postelnick, M.; Mynatt, R.P.; Trupiano, D.P.; Eschenauer, G.A.; Kaye, K.S. Bringing the “power” to cerner’s powerchart for antimicrobial stewardship. Clin. Infect. Dis., 2014, 59(3), 416-424.
[http://dx.doi.org/10.1093/cid/ciu271] [PMID: 24748518]
[27]
Laird-Maddox, M.; Mitchell, S.B.; Hoffman, M. Integrating research data capture into the electronic health record workflow: Real-world experience to advance innovation. Perspect. Health Inf. Manag., 2014, 11(Fall), 1e.
[PMID: 25593571]
[28]
Oracle Cerner 2022. Available from: https://www.cerner.com/ (cited 21 July 2022)

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