DIFFICULTIES INTRODUCING AND MANAGING ARTIFICIAL INTELLIGENCE IN GEORGIAN HEALTHCARE SYSTEM
Ketevan Gognadze
E-mail: ktgognadze@gmail.com
PhD student, Ivane Javakhishvili Tbilisi State University
Tbilisi, Georgia
https://orcid.org/0009-0007-0321-1486
Abstract: Artificial intelligence (AI) and related technologies are becoming increasingly common in business and society, and are beginning to be used in healthcare. These technologies have the potential to transform many aspects of patient care, as well as administrative and pharmaceutical organizations. Artificial intelligence has enhanced and at the same time simplified clinical diagnosis and decision-making efficiency in various fields of medicine, such as: radiology (diagnostics), ophthalmology, gastroenterology, histomorphology and others. Artificial intelligence has appeared in medicine since the 50s of the last centuries, when doctors first tried to simplify and improve the diagnosis process, which had a positive effect on the outcome of patients' diseases. Today, this process is even more sophisticated and it is much easier to make a diagnosis, the doctor's time is saved, and he has the opportunity to pay more attention to the patient, to monitor the treatment process. Clinicians will have to evolve and adapt to new technologies equipped with artificial intelligence systems so that they can use them correctly to have the greatest impact on disease outcomes. The medical education system will have to train staff according to modern requirements. Artificial intelligence in healthcare is used in the following four areas: management of healthcare services, predictive medicine (disease prediction), patient data and diagnostics, and clinical decision making. The process of introducing artificial intelligence should be regulated to the extent that the rights of the patient are protected as much as possible and the conducted research/treatment is effective and the care of the patient's health is always a priority. The process of introducing artificial intelligence requires a lot of resources, such as the involvement of doctors, their determination, their ability, and also the most important financial factor, because if there are no financial resources, there will be no technologies equipped with artificial intelligence. The role of the management of the clinic is also very important, because it is their initiative to train doctors and then implement the mentioned technologies and implement them in practice. This is a guarantee of many saved lives and many grateful patients.
Keywords: artificial intelligence (AI), healthcare of Georgia, artificial intelligence in diagnostics, security
JEL Classification: I11, I18, I19
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References
Challen, Robert, Joshua Denny, Martin Pitt, Luke Gompels, Tom Edwards, and Krasimira Tsaneva-Atanasova. 2019. "Artificial intelligence, bias and clinical safety." BMJ Quality & Safety 231-237.
Chong, Le Roy, Koh Tzan Tsai, Lee Lian Lee, Seck Guan Foo, and Piek Chim Chang. 2020. "Artificial intelligence predictive analytics in the management of outpatient MRI appointment no-shows." American Journal of Roentgenology 1155-1162.
Davenport, Thomas, and Ravi Kalakota. 2019. "The potential for artificial intelligence in healthcare." Future healthcare journal 94.
Eristavi, D, and G Davituri. 2021. Application of artificial intelligence systems in Georgia. Tbilisi: international center for-not-profit law.
Hamet, Pavel, and Johanne Tremblay. 2017. "Artificial intelligence in medicine." Metabolism 69 S36-S40.
Kaul, Vivek, Sarah Enslin, and Seth A. Gross. 2020. "History of artificial intelligence in medicine." Gastrointestinal endoscopy 807-812.
Macrae, Carl. 2019. "Governing the safety of artificial intelligence in healthcare." BMJ quality & safety 495-498.
Reyes, Mauricio, Raphael Meier, Sérgio Pereira, Carlos A. Silva, Fried-Michael Dahlweid, Hendrik von Tengg-Kobligk, Ronald M. Summers, and Roland Wiest. 2020. "On the interpretability of artificial intelligence in radiology: challenges and opportunities." Radiology: Artificial Intelligence, Vol. 2, No. 3.
Silvana Secinaro, Davide Calandra,Aurelio Secinaro,Vivek Muthurangu,Paolo Biancone. 2021. "The role of artifcial intelligence in healthcare: a structured literature review."BMC Medical Informatics and Dicision Making 1-23.
Tarassoli, Sam P. 2019. "Artificial intelligence, regenerative surgery, robotics? What is realistic for the future of surgery?"Annals of Medicine and Surgery 53-55.
van Leeuwen, Kicky G., Maarten de Rooij, Steven Schalekamp, Bram van Ginneken, and Matthieu JCM Rutten. 2021. "How does artificial intelligence in radiology improve efficiency and health outcomes?." Pediatric Radiology 1-7.
Yu, Kun-Hsing, Andrew L. Beam, and Isaac S. Kohane. 2018. "Artificial intelligence in healthcare." Nature biomedical engineering 2 719-731.

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