Interpretation of laboratory results through comprehensive automation of medical laboratory using OpenAI

Authors

DOI:

https://doi.org/10.15587/1729-4061.2023.286338

Keywords:

information system, OpenAI, interpretation, laboratory analyzers, equipment

Abstract

In modern medicine, laboratory tests play an important role in the diagnosis, treatment and monitoring of patients. However, the volume and complexity of the data obtained can create challenges for interpreting the results. In this paper, we present a study on the application of integrated automation of a medical laboratory using OpenAI for a more accurate and effective interpretation of laboratory results.

Interpreting laboratory results through integrated automation using artificial intelligence (AI) and other digital technologies automatically analyzes and interprets laboratory results. This approach aims to streamline the process of interpreting laboratory results and provide more accurate, consistent and timely results to healthcare providers. Comprehensive automation of the interpretation of laboratory results can improve the efficiency and accuracy of laboratory results, leading to improved patient outcomes and better clinical decision-making. However, it is essential to note that AI models are imperfect and can still make mistakes. Therefore, healthcare professionals should always review automated interpretation results before diagnosing or treating. The work presented results in applying OpenAI to interpret laboratory results in the laboratory information system smartLAB Kazakhstan, which provides a complete cycle of automation of all medical laboratory processes.

In the course of the study, an automated information system of a medical research complex using artificial intelligence was developed and implemented

Author Biographies

Kuanysh Kadirkulov, Saken Seifullin Kazakh Agrotechnical University

Doctoral Student of Big Data Analytics

Department of Information Systems

Aisulu Ismailova, Saken Seifullin Kazakh Agrotechnical University

Associate Professor

Department of Information Systems

Sandugash Serikbayeva, L. N. Gumilyov Eurasian National University

Doctor of Philosophy (PhD)

Department of Information Systems

Dinara Kazimova, Karaganda Buketov University

PhD, Dean Faculty of Mathematics of Information Technologies

Department of applied mathematics and computer science

Gulmira Tazhigulova, Karaganda Buketov University

Doctor of Pedagogical Sciences

Department of "Transport and Logistics Systems"

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Interpretation of laboratory results through comprehensive automation of medical laboratory using OpenAI

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Published

2023-08-31

How to Cite

Kadirkulov, K., Ismailova, A., Beissegul, A., Serikbayeva, S., Kazimova, D., & Tazhigulova, G. (2023). Interpretation of laboratory results through comprehensive automation of medical laboratory using OpenAI . Eastern-European Journal of Enterprise Technologies, 4(2 (124), 26–34. https://doi.org/10.15587/1729-4061.2023.286338