The Application of Artificial Intelligence in Medical Laboratories for Ensuring Accurate Sample Collection and Processing

Human error is standard in every human’s profession, and it is also the case for healthcare. In medical laboratories, human error can occur in several steps. In laboratory medicine, the pre-analytical phase is crucial to obtain reliable test results. However, it is prone to a lot of pitfalls, mistakes, and errors leading to increased testing time but also to misdiagnosis. Some process errors leading to decreased test result reliability can be avoided, even more easily using specific automatic AI methods.

Authors

Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2024-11-22
DOI
https://doi.org/10.36948/ijfmr.2024.v06i06.31469
Primary Topic
Clinical Laboratory Practices and Quality Control
Type
article
Field-Weighted Citation Impact
0.00
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article

The Application of Artificial Intelligence in Medical Laboratories for Ensuring Accurate Sample Collection and Processing

Nasser Hussian Nasser Almosha -, Husien Abdulla Aldokhi -, Nasser Ali Al kathem -, Abdulhadi Mohammed Saleh Alibr - et al.
International Journal For Multidisciplinary Research
Clinical Laboratory Practices and Quality Control
article

The Application of Artificial Intelligence in Medical Laboratories for Ensuring Accurate Sample Collection and Processing

Nasser Hussian Nasser Almosha -, Husien Abdulla Aldokhi -, Nasser Ali Al kathem -, Abdulhadi Mohammed Saleh Alibr -, Hussain Ahmed Abdullah Al abba -
article en

Abstract

Human error is standard in every human’s profession, and it is also the case for healthcare. In medical laboratories, human error can occur in several steps. In laboratory medicine, the pre-analytical phase is crucial to obtain reliable test results. However, it is prone to a lot of pitfalls, mistakes, and errors leading to increased testing time but also to misdiagnosis. Some process errors leading to decreased test result reliability can be avoided, even more easily using specific automatic AI methods.

International Journal For Multidisciplinary ResearchVol. 6(6)
Openalex Percentile: Top 63%
Clinical Laboratory Practices and Quality Control
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