Complementarities between algorithmic and human decision-making: The case of antibiotic prescribing
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Artificial Intelligence has the potential to improve human decisions in complex environments, but its effectiveness can remain limited if humans hold context-specific private information. Using the empirical example of antibiotic prescribing for urinary tract infections, we show that full automation of prescribing fails to improve on physician decisions. Instead, optimally delegating a share of decisions to physicians, where they possess private diagnostic information, effectively utilizes the complementarity between algorithmic and human decisions. Combining physician and algorithmic decisions can achieve a reduction in inefficient overprescribing of antibiotics by 20.3 percent.
Originalsprog | Engelsk |
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Tidsskrift | Quantitative Marketing and Economics |
ISSN | 1570-7156 |
DOI | |
Status | Accepteret/In press - 2024 |
Bibliografisk note
Publisher Copyright:
© The Author(s) 2024.
ID: 398167709