Primum Non Nocere: How to Fight the “Pandemic” of Healthcare Corruption

Alexandra-Codruța Bîzoi () and Cristian-Gabriel Bîzoi
Additional contact information
Alexandra-Codruța Bîzoi: West University of Timisoara
Cristian-Gabriel Bîzoi: West University of Timisoara

Chapter Chapter 20 in The Ethics of Bribery, 2023, pp 345-365 from Springer

Abstract: Abstract During these times, the resilience of humankind is put to the test by the ravages of COVID-19. Besides the virus, endemic corruption becomes pandemic since some individuals seek unethical gains and peril others’ lives, engaging in corrupt, fraudulent behaviors. The Eastern European countries have been long marked by the influences of communism, which left developments challenging to surpass, one of which is corruption. However, after joining the European Union, some of these countries went through a “cleaning” process, and novel tools are being employed in combating this phenomenon, one of which is artificial intelligence. Starting from this idea, we built an index based on the Corruption Perceptions Index, the Global Health Security Index, and the Cisco Global Digital Readiness Index at the 28 EU member states (which include the Eastern European countries), China, and the United States. Based on the Digital Non-Corrupt Health Index, our findings confirm the “cleanest” countries and the less clean ones and reveal the progress made by some Eastern European countries, which are comparable to those of Western countries. The idea to employ AI to combat corruption in general and healthcare corruption, in particular, is gaining momentum and reveals new lines of action with higher efficiency. Given the global danger of illness, no one benefits from absolute protection. Therefore, the just consciousness of every individual who sees, judges, and watches the correctness of authorities’ exercise may come to the rescue. Thus, examples of appropriate anti-corruption tools must be known and shared.

Keywords: Corruption; Public healthcare; Digital anti-corruption solutions; A13; A14; D73; I10; I11; I18; J10; K40; Z10; Z12 (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-17707-1_20

Ordering information: This item can be ordered from
http://www.springer.com/9783031177071

DOI: 10.1007/978-3-031-17707-1_20

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().