Regulatory Audit Innovations in Action: Insights from the Healthcare Industry

Kazeem O. Akinyele et al.

Current Issues in Auditing2026https://doi.org/10.2308/ciia-2025-009article
AJG 2ABDC B
Weight
0.50

Abstract

SUMMARY Prior accounting research in the healthcare field has paid little attention to how regulatory auditing innovations, such as artificial intelligence (AI) algorithms, can influence audit outcomes. Although these innovations may improve efficiency, they may have other consequences. This article summarizes the findings of a field study by Akinyele, Baudot, Koreff, and Sutton (2025), who examined the use of an AI-based auditing tool in the United States healthcare sector. The authors found that the use of this tool can generate debates about the legitimacy of health provider claims, especially when auditors rely heavily on algorithmic decisions. When paired with an incentive-based contract, these tools may be implicated in decision-making process, and even limit healthcare options. This research underscores the importance of balancing technological auditing innovations with professional judgment to ensure effective oversight and service delivery in the healthcare sector. JEL Classifications: M41; M42; M48.

Open via your library →

Cite this paper

https://doi.org/https://doi.org/10.2308/ciia-2025-009

Or copy a formatted citation

@article{kazeem2026,
  title        = {{Regulatory Audit Innovations in Action: Insights from the Healthcare Industry}},
  author       = {Kazeem O. Akinyele et al.},
  journal      = {Current Issues in Auditing},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.2308/ciia-2025-009},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Regulatory Audit Innovations in Action: Insights from the Healthcare Industry

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.