Evaluation of healthcare professionals’ acceptance of digital intraoperative hemodynamic data recording using the technology acceptance model: Digital intraoperative hemodynamic recording and technology acceptance model

Merve Yusi̇fov; Resul Yılmaz

doi:10.28982/josam.8609

Authors

Merve Yusi̇fov Beyhekim Training and Research Hospital, Department of Anesthesiology and Reanimation, Selçuklu, Konya, Turkey https://orcid.org/0000-0003-2560-3855
Resul Yılmaz Necmettin Erbakan University, Faculty of Medicine, Department of Anesthesiology and Reanimation, Selçuklu, Konya, Turkey https://orcid.org/0000-0002-5527-2893

DOI:

https://doi.org/10.28982/josam.8609

Keywords:

Digital Health, Intraoperative Monitoring, Technology Acceptance Model, Hemodynamic Data., anesthesia

Abstract

Background/Aim: This study aimed to evaluate a software prototype developed for the digitalization of intraoperative hemodynamic data recording and to examine healthcare professionals’ acceptance of this system within the framework of the Technology Acceptance Model.

Methods: This single-center, cross-sectional, descriptive study was conducted in the operating room of a university hospital between January 1, 2025, and December 31, 2025. A total of 75 healthcare professionals actively involved in intraoperative patient monitoring were included. Data were collected using a Participant Information Form and the 28-item Technology Acceptance Model Scale. Statistical analyses included descriptive statistics, independent samples t-test, one-way analysis of variance, Pearson correlation analysis, and multiple linear regression analysis.

Results: Participants had high perceived usefulness and perceived ease of use scores, with mean (SD) values of 4.31 (0.56) and 4.23 (0.60), respectively. Age was negatively and significantly correlated with perceived usefulness (r=-0.348, P=0.002), indicating that perceived usefulness decreased with increasing age. Professional experience significantly differed according to perceived ease of use (P=0.042). No significant relationship was found between perceived ease of use and perceived usefulness (r=0.030, P=0.797). Multiple linear regression analysis showed that age was an independent significant predictor of perceived usefulness (β=-0.025, 95% CI: -0.040 to -0.009, P=0.002).

Conclusion: Digital intraoperative hemodynamic data recording was highly accepted by healthcare professionals. The finding that age was associated with technology acceptance suggests that generational differences should be considered during digital transformation. Automated recording systems may reduce workload and improve patient safety; however, organizational support and adequate technical infrastructure are critical for widespread implementation.

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