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Journal articles on the topic 'Laboratory management information system'

Author: Grafiati

Published: 4 June 2021

Last updated: 16 February 2022

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1

Riswanto, Nyoto Suseno, Partono, Purwiro Harjati, and HA Dedy. "School Laboratory Management Information System." Journal of Physics: Conference Series 1361 (November 2019): 012068. http://dx.doi.org/10.1088/1742-6596/1361/1/012068.

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2

Fushshilat, I., A. Rahmat, Y. Somantri, and E. Haritman. "Laboratory management: digital laboratory information system (DLIS) concept." IOP Conference Series: Materials Science and Engineering 434 (December 3, 2018): 012286. http://dx.doi.org/10.1088/1757-899x/434/1/012286.

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3

Fulton, Kate F., Shaun Ervine, Noel Faux, Richard Forster, Rachel A. Jodun, Wayson Ly, Lee Robilliard, et al. "CLIMS: Crystallography Laboratory Information Management System." Acta Crystallographica Section D Biological Crystallography 60, no. 9 (August 26, 2004): 1691–93. http://dx.doi.org/10.1107/s0907444904017615.

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4

Prasad, Poonam J., and G. L. Bodhe. "Trends in laboratory information management system." Chemometrics and Intelligent Laboratory Systems 118 (August 2012): 187–92. http://dx.doi.org/10.1016/j.chemolab.2012.07.001.

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5

Bendou, Hocine, Lunga Sizani, Tim Reid, Carmen Swanepoel, Toluwaleke Ademuyiwa, Roxana Merino-Martinez, Heimo Meuller, Akin Abayomi, and Alan Christoffels. "Baobab Laboratory Information Management System: Development of an Open-Source Laboratory Information Management System for Biobanking." Biopreservation and Biobanking 15, no. 2 (April 2017): 116–20. http://dx.doi.org/10.1089/bio.2017.0014.

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6

Megargle, Robert. "Laboratory Information Management Systems." Analytical Chemistry 61, no. 9 (May 1989): 612A—621A. http://dx.doi.org/10.1021/ac00184a745.

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7

Green, John D. "Laboratory information management systems." Analytica Chimica Acta 212 (1988): 362–63. http://dx.doi.org/10.1016/s0003-2670(00)84170-7.

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8

Wagland, A. A., P. J. Snowdon, G. Davison, A. D. Henderson, and I. J. Smith. "Laboratory information management systems." Analytical Proceedings 26, no. 3 (1989): 99. http://dx.doi.org/10.1039/ap9892600099.

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9

Broad, LindaA. "Laboratory information management systems." Journal of Pharmaceutical and Biomedical Analysis 7, no. 7 (January 1989): 917. http://dx.doi.org/10.1016/0731-7085(89)80015-9.

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10

Megarle, Robert, and Robert Wilkes. "Laboratory information management systems." TrAC Trends in Analytical Chemistry 6, no. 10 (November 1987): XII. http://dx.doi.org/10.1016/0165-9936(87)87124-8.

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11

Megargle, R. "Laboratory information management systems." TrAC Trends in Analytical Chemistry 15, no. 9 (October 1996): V—VII. http://dx.doi.org/10.1016/0165-9936(96)89222-3.

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12

NARUKAWA, Akira, and Isao ODA. "Laboratory information management system for routine analysis." Bunseki kagaku 37, no. 11 (1988): T196—T201. http://dx.doi.org/10.2116/bunsekikagaku.37.11_t196.

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13

Sepulveda, Jorge L., and Donald S. Young. "The Ideal Laboratory Information System." Archives of Pathology & Laboratory Medicine 137, no. 8 (August 1, 2013): 1129–40. http://dx.doi.org/10.5858/arpa.2012-0362-ra.

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Context.—Laboratory information systems (LIS) are critical components of the operation of clinical laboratories. However, the functionalities of LIS have lagged significantly behind the capacities of current hardware and software technologies, while the complexity of the information produced by clinical laboratories has been increasing over time and will soon undergo rapid expansion with the use of new, high-throughput and high-dimensionality laboratory tests. In the broadest sense, LIS are essential to manage the flow of information between health care providers, patients, and laboratories and should be designed to optimize not only laboratory operations but also personalized clinical care. Objectives.—To list suggestions for designing LIS with the goal of optimizing the operation of clinical laboratories while improving clinical care by intelligent management of laboratory information. Data Sources.—Literature review, interviews with laboratory users, and personal experience and opinion. Conclusions.—Laboratory information systems can improve laboratory operations and improve patient care. Specific suggestions for improving the function of LIS are listed under the following sections: (1) Information Security, (2) Test Ordering, (3) Specimen Collection, Accessioning, and Processing, (4) Analytic Phase, (5) Result Entry and Validation, (6) Result Reporting, (7) Notification Management, (8) Data Mining and Cross-sectional Reports, (9) Method Validation, (10) Quality Management, (11) Administrative and Financial Issues, and (12) Other Operational Issues.

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14

Sun, Dingzhong, Linhuan Wu, and Guomei Fan. "Laboratory information management system for biosafety laboratory: Safety and efficiency." Journal of Biosafety and Biosecurity 3, no. 1 (June 2021): 28–34. http://dx.doi.org/10.1016/j.jobb.2021.03.001.

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15

Hu, Yu. "Development of Information Management System Used in Laboratory." Advanced Materials Research 605-607 (December 2012): 2518–21. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.2518.

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The aim of this paper is to develop a Laboratory Information Management System (LIMS). The system will act as a secure repository for both public and proprietary data. The public repository will contain all the data from other public repositories as well as the data released by the researchers into the public domain. The secure repository will manage the data and maintain its privacy until the researcher who owns it shares it with the public. This secure repository needs login credentials that should be validated to access the system. It is this type of system that would be used to design the experiments that would be submitted to the LIMS system.

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16

Karlsson, C., and S. Holgersson. "ForumDNA, a custom-designed Laboratory Information Management System." International Congress Series 1239 (January 2003): 783–86. http://dx.doi.org/10.1016/s0531-5131(02)00277-7.

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17

McDowall, Robert D., and Donald C. Mattes. "Architecture for a Comprehensive Laboratory Information Management System." Analytical Chemistry 62, no. 20 (October 15, 1990): 1069A—1076A. http://dx.doi.org/10.1021/ac00219a730.

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18

Dubey, Sunil K., Amit Anand, and Hemanth Jangala. "Laboratory information and management system: A tool to increase laboratory productivity." Clinical Research and Regulatory Affairs 29, no. 2 (June 2012): 46–56. http://dx.doi.org/10.3109/10601333.2012.692689.

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19

Kolva, Don, Christine Paszko, and Jeff Post. "Considerations in selecting a laboratory information management system for the small laboratory." Chemometrics and Intelligent Laboratory Systems 26, no. 3 (December 1994): 171–74. http://dx.doi.org/10.1016/0169-7439(94)90006-x.

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20

Olsen, Addie N., Lynge C. Christiansen, Steffen J. Nielsen, Charlotte Hallenberg, Rune Frank-Hansen, Bo T. Simonsen, Claus Børsting, et al. "Customizing a commercial laboratory information management system for a forensic genetic laboratory." Forensic Science International: Genetics Supplement Series 2, no. 1 (December 2009): 77–79. http://dx.doi.org/10.1016/j.fsigss.2009.07.012.

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21

Vitz, Ed. "LIMSport: Spreadsheet laboratory information management system for general chemistry." Journal of Chemical Education 69, no. 9 (September 1992): 744. http://dx.doi.org/10.1021/ed069p744.

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22

Carmona-Cejudo, José M., Maria Luisa Hortas, Manuel Baena-García, Jorge Lana-Linati, Carlos González, Maximino Redondo, and Rafael Morales-Bueno. "DB4US: A Decision Support System for Laboratory Information Management." Interactive Journal of Medical Research 1, no. 2 (November 14, 2012): e16. http://dx.doi.org/10.2196/ijmr.2126.

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23

Vu, Thuy Duong, Ursula Eberhardt, Szániszló Szöke, Marizeth Groenewald, and Vincent Robert. "A laboratory information management system for DNA barcoding workflows." Integrative Biology 4, no. 7 (February 17, 2012): 744–55. http://dx.doi.org/10.1039/c2ib00146b.

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24

Litt, B., D. Ryan, S. Hertz, C. Beanland, D. Hepner, L. Van Sant, P. Jones, et al. "A practical system for digital EEG laboratory information management." Electroencephalography and Clinical Neurophysiology 99, no. 2 (August 1996): P11. http://dx.doi.org/10.1016/0013-4694(96)84091-0.

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25

Cucoranu, Ioan C. "Laboratory Information Systems Management and Operations." Surgical Pathology Clinics 8, no. 2 (June 2015): 153–57. http://dx.doi.org/10.1016/j.path.2015.02.002.

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26

Jones, K. "Laboratory Information Management Systems- a survey." Journal of Automatic Chemistry 7, no. 3 (1985): 136–40. http://dx.doi.org/10.1155/s1463924685000281.

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27

Cucoranu, Ioan C. "Laboratory Information Systems Management and Operations." Clinics in Laboratory Medicine 36, no. 1 (March 2016): 51–56. http://dx.doi.org/10.1016/j.cll.2015.09.006.

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28

McDowall, R. D. "Laboratory Information Management Systems in practice." Journal of Pharmaceutical and Biomedical Analysis 6, no. 6-8 (January 1988): 547–53. http://dx.doi.org/10.1016/0731-7085(88)80068-2.

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29

Chi, Chen. "PLC-Based Laboratory Intelligent Management System." Advanced Materials Research 748 (August 2013): 1244–50. http://dx.doi.org/10.4028/www.scientific.net/amr.748.1244.

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This study proposes the design method of a PLC-based laboratory intelligent management system. The proposed system presents an integration of various technologies, including fingerprint recognition, touch screen interaction, wireless coded remote control, computer software, hardware control, and software management. The practical application of the proposed system demonstrates certain advantages, such as easy installation, reliable operation, and convenient information preservation, processing, and inquiry. The proposed system can significantly improve the modern management level of university laboratories.

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30

Shi, Yun, Lei Wang, Heng Chen, and Teng Fei Lei. "Calibration Wells Group Information Management System Design." Applied Mechanics and Materials 543-547 (March 2014): 4284–87. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.4284.

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The calibration wells laboratory is an important experimental system of petroleum logging instrument. There is a large of calibration wells information need manage, so it is very difficult to manage the calibration wells information. In this paper, computer information management system is applied to the calibration wells information management. It is necessary to manage the large of the calibration wells information. Because the calibration wells have the similar shape, it is difficult to detect the calibration wells in the laboratory. Therefore, the mobile phone platform and QR two-dimensional bar code technology are introduced to strengthen the management of calibration wells information. These will greatly improve the efficiency of management. The QR bar code and the zBar technology are used in the information system. The design of calibration wells group information management system is implemented based on QR code. The mobile platform is used to collect and display information. The experiments show the good performance of the information management systems.

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31

Jaffar Mohamed Ameen, Zinah, and Sama Salam Samaan. "A WEB BASED APPLICATION FOR CLINICAL LABORATORY INFORMATION MANAGEMENT SYSTEM." Journal of Engineering and Sustainable Development 24, no. 06 (November 1, 2020): 127–36. http://dx.doi.org/10.31272/jeasd.24.6.11.

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Continuous progressive wheel resulted in scattered plans of the major objective to climb the ladder of success within a very short period of time. Within past years, Electronic Health Records (EHR) have been realized due to the growing number of hospitals worldwide. EHR systems can be in different forms, that refer to a wide range of electronic information systems used in healthcare. Medical institutions that might use EHRs are hospitals, pharmacies, general surgery practices, and other health care professionals. Clinical or medical coding is an important process to transform medical documents such as laboratory or radiologic results beside physician notes into universal alphanumeric codes that represents the medical diagnosis, procedure, service, or equipment. As archiving process is an important part of the clinical lab, besides searching for related information or previous tests’ results are boring work and in order to make this process easier, faster and accurate, this paper proposed the design and implementation of a web-based clinical laboratory management system, in which only authorized systems’ users such as lab assistant or physician can access patients’ records in order to ensure that the whole process is secure, accurate and reliable. This system is developed using MySQL for database design and PHP, html, CSS and JavaScript for user interfaces.

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32

LIU, Zhi Gang. "Implementation of Intelligent Laboratory Management System Terminal." Advanced Materials Research 532-533 (June 2012): 630–33. http://dx.doi.org/10.4028/www.scientific.net/amr.532-533.630.

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In this paper, intelligent laboratory management system terminal are implemented based on embedded ARM system. The system is composed of ARM applications terminal and network server accessing to Internet, which provides intelligent access control, fire alarm, automatic attendance, video surveillance and voice intercom functions. And also the approval of intelligent online booking, real-time information bulletin features can be achieved. For laboratory personnel management, the system provides a good solution of identification and appointment approval, real-time monitoring, information management background. This paper describes functions of system terminals, focuses on terminal software solutions and key technologies. The terminal is implemented on the S3C2440 processor device and applied to practical engineering, proves the correctness and reliability of the program.

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33

Ilyin, A. V. "Implementation experience of laboratory information management system in a single information complex." Laboratornaya sluzhba 5, no. 4 (2016): 46. http://dx.doi.org/10.17116/labs20165446-49.

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34

Tomlinson, J. J., W. Elliott-Smith, and T. Radosta. "Laboratory Information Management System Chain of Custody: Reliability and Security." Journal of Automated Methods and Management in Chemistry 2006 (2006): 1–4. http://dx.doi.org/10.1155/jammc/2006/74907.

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A chain of custody (COC) is required in many laboratories that handle forensics, drugs of abuse, environmental, clinical, and DNA testing, as well as other laboratories that want to assure reliability of reported results. Maintaining a dependable COC can be laborious, but with the recent establishment of the criteria for electronic records and signatures by US regulatory agencies, laboratory information management systems (LIMSs) are now being developed to fully automate COCs. The extent of automation and of data reliability can vary, and FDA- and EPA-compliant electronic signatures and system security are rare.

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35

Jacob, Edward, It-Koon Tan, Kim-Seng Chua, and See-Heng Lim. "Integrated laboratory information system in a large hospital laboratory in Singapore." Journal of Automatic Chemistry 14, no. 6 (1992): 223–29. http://dx.doi.org/10.1155/s1463924692000403.

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This paper describes an integrated approach to the computerization of all major disciplines of laboratory medicine and pathology. Installed in the Department of Pathology, Singapore General Hospital (SGH), the computer system discussed comprises a RISC-based Data General Aviion 6200 computer and Meditech MAGIC software. The system has been interfaced with the hospital host IBM computer and supports patient information transfer, result reporting, phlebotomy management, and compilation of laboratory and financial management reports. The main functions of the system include: on-line and off-line acquisition of patient information and test data; preparation of single/combined/cumulative reports; transmission of reports within and between laboratories; instantaneous provision of data in response to telephone enquiries; calculations of quality control/workload/productivity statistics and indices; and generation of billing lists. The computer enables reports to be provided on patient tests results in individual wards, at various specialist out-patient clinics, and in the Accident and Emergency Department of the SGH through the IBM mainframe, as well as to remote printers installed at several other major hospitals.The use of the MAGIC integrated laboratory information system has resulted in a significant increase in laboratory efficiency and productivity.

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36

McDowall, R. D. "The evaluation and management of risk during a laboratory information management system or laboratory automation project." Chemometrics and Intelligent Laboratory Systems 21, no. 1 (May 1993): 1–19. http://dx.doi.org/10.1016/0169-7439(93)90004-d.

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37

Restu, Restu, Sriadhi Sriadhi, Syamsul Gultom, and Baharuddin Baharuddin. "MANAGEMENT INFORMATION SYSTEM MODEL TO INCREASE PERFORMANCE OF EDUCATIONAL LABORATORY." Polish Journal of Management Studies 21, no. 2 (June 2020): 356–69. http://dx.doi.org/10.17512/pjms.2020.21.2.25.

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38

Wu Xianping, and Ku angtai. "Based on B/S Laboratory Management Information System Technology Research." INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences 5, no. 5 (March 15, 2013): 798–806. http://dx.doi.org/10.4156/aiss.vol5.issue5.93.

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39

刘, 菊才. "Application of Laboratory Information Management System on Agricultural Products Testing." Management Science and Engineering 09, no. 03 (2020): 173–78. http://dx.doi.org/10.12677/mse.2020.93023.

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40

Ce, Win, Hanny Juwitasary, and Hendro Hendro. "System Requirement in View Of Users and Process for Content Management and Academic Support System for Computer Laboratory (Case Study: Software Laboratory Center Binus University)." ComTech: Computer, Mathematics and Engineering Applications 6, no. 1 (March 1, 2015): 55. http://dx.doi.org/10.21512/comtech.v6i1.2286.

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The system for Laboratory Information will take focus on determining the need for information systems related to the management, content development and academic management in the laboratory. These processes will focus on understanding the need and system requirement for a laboratory information system that focus on content management and the way to design a process to make sure the continuation of content creation can be done. With the design of the laboratory information system is expected to serve as a sample in the development of similar application for the course in general. The methodology to be used is to use the study of literature, design, and testing of laboratory information systems.

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41

Schilling, Peter E. "Technical strategy for laboratory information management systems." Chemometrics and Intelligent Laboratory Systems 26, no. 3 (December 1994): 143–51. http://dx.doi.org/10.1016/0169-7439(94)90002-7.

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42

McDowall, R. D., J. C. Pearce, and G. S. Murkitt. "Laboratory information management systems — part I. Concepts." Journal of Pharmaceutical and Biomedical Analysis 6, no. 4 (January 1988): 339–59. http://dx.doi.org/10.1016/0731-7085(88)80001-3.

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43

McDowall, R. D., J. C. Pearce, and G. S. Murkitt. "Laboratory information management systems — part II. Implementation." Journal of Pharmaceutical and Biomedical Analysis 6, no. 4 (January 1988): 361–81. http://dx.doi.org/10.1016/0731-7085(88)80002-5.

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44

McDowall, R. D. "An update on laboratory information management systems." Journal of Pharmaceutical and Biomedical Analysis 11, no. 11-12 (January 1993): 1327–30. http://dx.doi.org/10.1016/0731-7085(93)80119-l.

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45

Andrade, J. M., D. Prada, S. Muniategui, B. Gomez, and M. Pan. "A laboratory information management system in a petrochemical company: an effective information solution." Chemometrics and Intelligent Laboratory Systems 21, no. 1 (May 1993): 35–49. http://dx.doi.org/10.1016/0169-7439(93)90006-f.

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46

Wilkes, Robert, and Robert Megargle. "Integration of instruments and a laboratory information management system at the information level." Chemometrics and Intelligent Laboratory Systems 26, no. 1 (May 1994): 47–54. http://dx.doi.org/10.1016/0169-7439(94)90018-3.

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47

Truchaud, Alain, Tanguy Le Neel, Hugues Brochard, Sophie Malvaux, Marine Moyon, and Murielle Cazaubiel. "New tools for laboratory design and management." Clinical Chemistry 43, no. 9 (September 1, 1997): 1709–15. http://dx.doi.org/10.1093/clinchem/43.9.1709.

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Abstract The clinical laboratory is changing from a place of activity based on sample analysis to an in vitro diagnostic network. To convince our team, partners, and administrators, we need new comprehensive tools to define a strategy with limited risk of failure or conflicts. Specific quality goals should be established before choosing automated tools for sample handling, analytical systems, laboratory information systems, communication systems, or advanced technologies. A system approach maps and simplifies the process, based more on a functional study than on classical disciplines. A customer–supplier approach establishes the requirements between partners either inside or outside the laboratory. The quality system must be a management tool, linking samples, tasks, information, and documents. Quantitative simulation modeling explores different automation alternatives and their impact on laboratory workflow. Finally, integration of results in interactive semirealistic simulation tools for laboratory design or reengineering can be used as communications tools to involve laboratory professionals in the change of their practice.

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48

Eggert, Arthur A., Kenneth A. Emmerich, Thomas J. Blankenheim, Donald J. Becker, Gary J. Smulka, and Karen L. Bowers. "Migrating a clinical laboratory information system between technologies." Journal of Medical Systems 15, no. 5-6 (December 1991): 379–89. http://dx.doi.org/10.1007/bf00995975.

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49

Rawling, Alan K. "Information Technology/Laboratory Information Management Systems: Problems of Regulatory Compliance." Journal of AOAC INTERNATIONAL 77, no. 3 (May 1, 1994): 782–85. http://dx.doi.org/10.1093/jaoac/77.3.782.

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Abstract Despite the attention paid to the regulatory requirements for computer systems, recent inspections continue to report basic failings in the standards of validation and documentation. This paper describes the need for validation of vendor-supplied software such as Laboratory Information Management Systems and the procedures necessary for control of the production phase in a regulated environment. Whereas these requirements may be considered “good computing practices,” their adherence remains a management challenge at odds with pressures of cost, business need, and time.

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50

Turner, Elizabeth, and Jojean Bolton. "REQUIRED STEPS FOR THE VALIDATION OF A LABORATORY INFORMATION MANAGEMENT SYSTEM." Quality Assurance 9, no. 3-4 (July 2002): 217–24. http://dx.doi.org/10.1080/713844028.

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