Analysis · Technology
AI Use and Nursing Productivity: What a Survey Can Actually Show
By AWEI · AI-compiled · Published · Analysis prepared · 1 source · doi.org
More AI use did not automatically mean higher productivity in a survey of nurses at five hospitals in Saudi Arabia’s Riyadh Province. In their 2024 study, Atallah Alenezi, Mohammed Hamdan Alshammari and Ibrahim Abdullatif Ibrahim reported a negative direct association between AI use and productivity within their statistical model.
The researchers purposively selected 329 nurses involved in clinical practice. Participants completed an electronic questionnaire, rating technology integration, AI use, competencies, leadership and productivity on five-point scales. The team used structural equation modeling to examine how these reported measures related to one another, including connections running through workforce competencies.
The distinction between a simple correlation and a modeled relationship matters here. AI use and productivity had a positive correlation in the paper’s correlation table. But the direct relationship became negative when estimated alongside other relationships in the model. That result cannot establish that introducing AI makes nurses less productive.
Broader technology integration showed a positive direct association with productivity. The model also identified positive indirect associations through nursing competencies for both technology integration and AI use. These patterns make workforce skills relevant to further investigation; they do not demonstrate that a training intervention would deliver productivity gains.
The authors suggest that AI might initially disrupt workflows before producing benefits. However, the reported survey did not track a transition from early disruption to later improvement. Productivity was self-reported, rather than established through observed task completion or patient outcomes. Purposive selection and the regional setting also limit generalization, while unmeasured organizational conditions could help explain the associations.
For an organization assessing AI, the useful lesson is to separate adoption, staff capability and demonstrated performance. This study provides questions for evaluating implementation, not a measured return on investment. Claims about eventual gains require evidence collected over time, with outcomes that go beyond staff perceptions.
Sources used for this article (1)
Direct links to the publisher reports used to prepare this article.
- Source 1
- Optimizing Nursing Productivity: Exploring the Role of Artificial Intelligence, Technology Integration, Competencies, and Leadership Atallah Alenezi, Mohammed Hamdan Alshammari, Ibrahim Abdullatif Ibrahim
