ArticleJournal of chiropractic medicine2023
Provider Satisfaction With Artificial Intelligence-Based Hand Hygiene Monitoring System During the COVID-19 Pandemic: Study of a Rural Medical Center.
Article in Journal of chiropractic medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Nurses' Experiences Using AI in Clinical Practice: Systematic Review.JMIR nursing · 2026Pooled it
- Antibiotic-sparing strategies for multidrug-resistant organism (MDRO) infections.Frontiers in pharmacology · 2025Review
- Advancing infection prevention and control through artificial intelligence: a scoping review of applications, barriers, and a decision-support checklist.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: The objectives of this study were to investigate providers' attitudes toward an artificial intelligence (AI)-based hand hygiene monitoring system and to examine the relationship between provider well-being and satisfaction with the usage of that system. Methods: A self-administered questionnaire was mailed to 48 health care providers (ie, physicians, registered nurses, and other providers) at a rural medical center in north Texas between September and October 2022. In addition to descriptive statistics, Spearman's correlation test was conducted to discern the relationship between provider satisfaction with the usage of the AI-based hygiene monitoring system and their well-being. A Kendall's tau correlation coefficient test was utilized to assess the correlation between subgroup demographics and survey questions. Results: With a 75% response rate (n = 36), the providers reported sufficient satisfaction with monitoring system usage and that AI directly affects provider well-being. Providers with more years of experience and younger than 40 years of age reported significantly higher satisfaction with AI technology in general and considered the amount of time that they spent on AI-related tasks as interesting compared with their counterpart providers. Conclusion: The findings suggest that higher satisfaction with the AI-based hygiene monitoring system was related to greater provider well-being. Providers sought successful implementation of an AI-based tool that met their expectations, but such implementation required marked levels of consolidation to ensure that it fits within the existing workflows and was accepted by users.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.