Estimating how many flebotomists are required in the flebotomy unit: An artificial intelligence study

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Published: May 26, 2020
DOI: https://doi.org/10.36472/msd.v7i5.379
Keywords:
Phlebotomy, Phlebotomist count prediction, Artificial intelligence, Health

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Dilek Orbatu
Izmir Health Science University Tepecik Training and Research Hospital Assistant Manager, Izmir, TR
Oktay Yıldırım
Dokuz Eylul University Faculty of Engineering, Dept. of Computer Engineering, Izmir, TR
Ahu Pakdemirli
University of Health Sciences Gulhane School of Medicine, Dept. of Physiology, Ankara, TR
Eminullah Yaşar
Dokuz Eylul University Faculty of Engineering, Dept. of Computer Engineering, Izmir, TR
Demet Alaygut
Izmir Health Science University Tepecik Training and Research Hospital Dept. of Pediatric Nephrology, Izmir, TR
Süleyman Sevinç
Dokuz Eylul University Faculty of Engineering, Dept. of Computer Engineering, Izmir, TR
Ali Rıza Şişman
Dokuz Eylul University Faculty of Medicine Dept. of Biochemistry, Izmir, TR

Abstract

Objective: In this study, after the examination, most patients apply to phlebotomy units to perform the necessary examinations. Sufficient plebotomists should be taken to the phlebotomy unit to serve a large number of patients. The aim of this study is to determine the reguired number of phlebotomists in blood center using the artificial intelligence.


Material and Methods: This study was conducted in the Health Sciences University  Tepecik Training and Research Hospital Blood center between the September-November 2019 . The required number of phlebotomists in the unit was determined with an artificial intelligence-based method. With this system, the number of patients coming to the phlebotomy unit is estimated in real time and considering the past performance of the working phlebotomists, how many phlebotomists are needed in real time is calculated.


Results: The number of phlebotomists who both serve patients as quickly as possible and use the personnel resources of hospital efficiently needs to be optimized. In order to solve this problem, an AI-based system has been developed. With this system, the number of patients coming to phlebotomy unit is estimated in real time and considering the past performances of the working phlebotomists, it calculates how many phlebotomists are needed in real time


Conclusion: The suggestions made by this AI-based system have made a great contribution to the management of the phlebotomy unit. Managers used hospital staff resources in the most efficient way and at the same time, they were able to ensure that patients receive phlebotomy service by following the system's recommendations.

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How to Cite
Orbatu, D., Yıldırım, O. ., Pakdemirli, A. ., Yaşar, E. ., Alaygut, D. ., Sevinç, S. ., & Şişman, A. R. . (2020). Estimating how many flebotomists are required in the flebotomy unit: An artificial intelligence study. Medical Science and Discovery, 7(5), 489–493. https://doi.org/10.36472/msd.v7i5.379
Issue
Vol. 7 No. 5 (2020): Medical Science and Discovery
Section
Research Article

https://creativecommons.org/licenses/by-nc/4.0/

Received 2020-05-03
Accepted 2020-05-16
Published 2020-05-26

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