ArticleJournal of medical systems2026
Acceptance and Adoption of Intravenous Smart Pump Integration to Anesthesia Information Management System by Anesthesiologists: A Single Centre Study.
Article in Journal of medical systems, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The integration of intravenous (IV) smart pumps with electronic health records (EHR) has been shown to reduce documentation errors and improve safety in nursing practice. However, there is limited information regarding the acceptance of this technology among anesthesiologists. This study aimed to evaluate the acceptance and adoption of IV smart pump integration with an Anesthesia Information Management System (AIMS) at a tertiary pediatric hospital. We conducted a cross-sectional survey six weeks following the implementation of IV smart pump integration. The project was approved as a Quality Improvement initiative. The survey was distributed to 112 anesthesia department members. We employed the Unified Theory of Acceptance and Use of Technology (UTAUT) to assess user acceptance, examining constructs such as Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions. Structural equation modeling (SEM) was used to analyze the relationships between these constructs and Behavioral Intention. Forty-two individuals (38.1%) completed the survey. Adoption was widespread, with respondents utilizing smart pump integration for a median of 76.5% of eligible medications. While 48% of respondents reported satisfaction, 26% were unsatisfied, primarily citing difficulties with troubleshooting. Structural equation modeling revealed that Performance Expectancy was the strongest predictor of Behavioral Intention (path coefficient 0.60), followed by Facilitating Conditions (0.21). Age positively influenced Social Influence (0.25) but negatively affected Performance Expectancy (-0.15). Anesthesiologists demonstrated a high rate of adoption of IV smart pump integration shortly after implementation. Perceived usefulness was the primary driver of the intention to use the system. Given the single-center nature of this study and the limited response rate, these results should be considered hypothesis-generating. Strategies to optimize future adoption should focus on demonstrating clinical utility and providing targeted training on troubleshooting.
Indexed as
Identifiers
41888448What OpenQuestion holds
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.