The Future of Artificial Intelligence in International Healthcare: An Index

Julia Puaschunder ()

Proceedings of the 17th International RAIS Conference, June 1-2, 2020 from Research Association for Interdisciplinary Studies

Abstract: The currently ongoing COVID-19 crisis has challenged healthcare around the world. The call for global solutions in international healthcare pandemic crisis and risk management has reached unprecedented momentum. Digitalization, Artificial Intelligence and big data-derived inferences are supporting human decision making as essential healthcare enhancements as never before in the history of medicine. In today’s healthcare sector and medical profession, AI, algorithms, robotics and big data are used for monitoring of large-scale medical trends by detecting and measuring individual risks based on big data-driven estimations. This article provides a snapshot of the current state-of-the-art of AI, algorithms, big data-derived inferences and robotics in healthcare but also medical responses to COVID-19 in the international arena. International differences in the approaches to combat global pandemics become apparent serving as interesting case study on how to avert global pandemics successfully with AI in the future. Empirically, the article answers what countries have favourable conditions to provide AI solutions for global healthcare and pandemic crises monitoring and alleviation when compared over the entire world? First, an index based on internet connectivity – as a proxy for digitalization and AI advancement– as well as Gross Domestic Product – as indicator for economic productivity – is calculated to outline global pandemic healthcare solution innovation hubs with economic impetus around the world. The parts of the world that feature internet connectivity and high GDP are likely to lead on AI-driven big data monitoring insights for pandemic prevention. When comparing countries worldwide, AI advancement is found to be positively correlated with anti-corruption. AI thus springs from non-corrupt territories of the world. Second, a novel anti-corruption artificial healthcare index is therefore presented that highlights those countries in the world that have vital AI growth in a non-corrupt environment. These non-corrupt AI centres hold comparative advantages to lead on global artificial healthcare solutions against COVID-19 and serve as pandemic crisis and risk management innovators of the future. Anti-corruption is also positively related with better general healthcare. Therefore, finally, a third index that combines internet connectivity, anti-corruption as well as healthcare access and quality is presented. The countries that score high on AI, anti-corruption and healthcare excellence are presented as ultimate world-leading, innovative global pandemic alleviation centres. The advantages but also potential shortfalls and ethical cliffs in the novel use of monitoring Apps, big data inferences and telemedicine to prevent pandemics are discussed.

Keywords: Access to healthcare; Advancements; AI-GDP Index; Apps; Artificial Intelligence; Coronavirus; Corruption-free maximization of excellence and precision; Corruption Perception (CPI)-Global Connectivity Index; Corruption Perception-Global Connectivity-Healthcare Index COVID-19; Decentralized grids; Economic growth; Healthcare; Human resemblance; Humanness; Innovation; Market disruption; Market entrance; Pandemic; Rational precision; Social stratification; Supremacy; Targeted aid; Telemedicine (search for similar items in EconPapers)
Pages: 7 pages
Date: 2020-06
New Economics Papers: this item is included in nep-big, nep-ict, nep-pay and nep-tid
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Published in Proceedings of the 17th International RAIS Conference on Social Sciences and Humanities, June 1-2, 2020, pages 19-36

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