Applications of Information Management Systems (IMSML) in Medical Laboratories-Reference-Cited by-同舟云学术

Applications of Information Management Systems (IMSML) in Medical Laboratories

Published:2023-10-18 Issue: Volume: Page:447-463
ISSN:2327-9354
Container-title:AI and IoT-Based Technologies for Precision Medicine
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Author:

Obeta Uchejeso Mark¹^ORCID,Njar Valerie Esame²,Etukudoh Nkereuwem Sunday³^ORCID,Ejinaka Obiora Reginald⁴

Affiliation:

1. Federal College of Medical Laboratory Science and Technology, Jos, Nigeria

2. Department of Haematology and Transfusion Science, University of Calabar, Nigeria

3. Office of the Provost/CEO, Federal College of Medical Laboratory Science and Technology, Jos, Nigeria

4. Office of Deputy Provost Academics, Federal College of Medical Laboratory Science and Technology, Jos, Nigeria

Abstract

A MLIMS is a software used in medical laboratories to manage testing activities and operation of the laboratory services. MLIMS plays a very important role in the utilization and archiving of medical laboratory tests' results, thereby providing overall quality of healthcare. A computerized MLIMS evolved to collect, record, arrange, display, back up results, and manage the medical laboratory finances in a suitable way. A survey was carried out among medical laboratory staff in Nigeria with the aid of Google form shared in WhatsApp platforms and responses taken for their use, applications, and security of MLIMS. From the survey result, 81.8% are aware of using MLIMS in medical laboratory practice; 98.2% accept the use of MLIMS application in medical laboratory practice; 97.3% agree with the result sharing with clients through MLIMS and Internet; but 59.4% use equipment that is MLIMS compliant or linked in their facilities; 50% have security in their MLIMS and computers; and 43.6% have WiFi or internet services for 24hrs in their facilities

Publisher

IGI Global

Reference36 articles.

1. Aller, R. D., & Bahs, U. J. (2001). Information, managing and interoperability in Henry JB editors’ Clinical diagnosis & management by laboratory Methods Philadelphia Saunders, (pp. 108-137). Springer. https://link.springer.com/chapter/10.1007/978-0-387-22629-3_1

2. Biggs, H. (2010). Healthcare research ethics and law regulations, review and Responsibility. Caveudish New York. https://www.google.com/books?hl=en&lr=&id=juaNAgAAQBAJ&

3. Bisbal, J. Lawless, Wu B, Grimson J, & Wade V. (2010). An overview of legacy information system migration, and software engineering Conference, (pp. 529-530). IEEE. https://ieeexplore.ieee.org/ abstract/document/640219/

4. Chien, T. I., Lu, J. Y., Cheng, Y. C., & Lee, Y. F. (2007). Evaluating and improvement strategy of analytical turn-around time in the stat laboratory. Journal of the Formosa medical association, 106, 558-564. https://www.sciencedirect.com/science/article/pii/S0929664607600060