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J. Clin. Med. 2019, 8(2), 168; https://doi.org/10.3390/jcm8020168

Artificial Intelligence vs. Natural Stupidity: Evaluating AI Readiness for the Vietnamese Medical Information System

1
Center for Interdisciplinary Social Research, Phenikaa University, Yen Nghia, Ha Dong district, Hanoi 100803, Vietnam
2
Faculty of Economics and Finance, Phenikaa University, Yen Nghia, Ha Dong district, Hanoi 100803, Vietnam
3
Sciences Po Paris, Campus de Dijon, 21000 Dijon, France
4
Vietnam-Germany Hospital, Hoan Kiem district, Hanoi 100000, Vietnam
5
Institute for Preventive Medicine and Public Health, Hanoi Medical University, Hanoi 100000, Vietnam
6
Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
7
A.I. for Social Data Lab (AISDL), Vuong & Associates, Dong Da district, Hanoi 100000, Vietnam
8
Institute for Global Health Innovations, Duy Tan University, Da Nang 100000, Vietnam
9
Center of Excellence in Artificial Intelligence in Medicine, Nguyen Tat Thanh University, Ho Chi Minh City 100000, Vietnam
10
Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore
11
Department of Psychological Medicine, National University Health System, Singapore 119228, Singapore
*
Authors to whom correspondence should be addressed.
Received: 19 December 2018 / Revised: 29 January 2019 / Accepted: 29 January 2019 / Published: 1 February 2019
(This article belongs to the Special Issue The Future of Artificial Intelligence in Clinical Medicine)
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Abstract

This review paper presents a framework to evaluate the artificial intelligence (AI) readiness for the healthcare sector in developing countries: a combination of adequate technical or technological expertise, financial sustainability, and socio-political commitment embedded in a healthy psycho-cultural context could bring about the smooth transitioning toward an AI-powered healthcare sector. Taking the Vietnamese healthcare sector as a case study, this paper attempts to clarify the negative and positive influencers. With only about 1500 publications about AI from 1998 to 2017 according to the latest Elsevier AI report, Vietnamese physicians are still capable of applying the state-of-the-art AI techniques in their research. However, a deeper look at the funding sources suggests a lack of socio-political commitment, hence the financial sustainability, to advance the field. The AI readiness in Vietnam’s healthcare also suffers from the unprepared information infrastructure—using text mining for the official annual reports from 2012 to 2016 of the Ministry of Health, the paper found that the frequency of the word “database” actually decreases from 2012 to 2016, and the word has a high probability to accompany words such as “lacking”, “standardizing”, “inefficient”, and “inaccurate.” Finally, manifestations of psycho-cultural elements such as the public’s mistaken views on AI or the non-transparent, inflexible and redundant of Vietnamese organizational structures can impede the transition to an AI-powered healthcare sector. View Full-Text
Keywords: artificial intelligence; AI in healthcare; AI in medicine; AI readiness; Vietnam; AI applications artificial intelligence; AI in healthcare; AI in medicine; AI readiness; Vietnam; AI applications
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Vuong, Q.-H.; Ho, M.-T.; Vuong, T.-T.; La, V.-P.; Ho, M.-T.; Nghiem, K.-C.P.; Tran, B.X.; Giang, H.-H.; Giang, T.-V.; Latkin, C.; Nguyen, H.-K.T.; Ho, C.S.; Ho, R.C. Artificial Intelligence vs. Natural Stupidity: Evaluating AI Readiness for the Vietnamese Medical Information System. J. Clin. Med. 2019, 8, 168.

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