ArticleAdvances in simulation (London, England)2023
Interprofessional staff perspectives on the adoption of or black box technology and simulations to improve patient safety: a multi-methods survey.
Article in Advances in simulation (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
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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
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Application of artificial intelligence in esophageal surgery: a systematic review.Journal of robotic surgery · 2025Pooled it
- Decoding the OR Black Box and Similar Technologies and Considerations in Otolaryngologic Surgery.Laryngoscope investigative otolaryngology · 2026Review
- Expectations vs Reality of an Intraoperative Artificial Intelligence Intervention.JAMA surgery · 2026Article
- Putting Patients at Risk: The Effect of Health Care Provider Burnout on Patient Care in the Operating Room-A Narrative Review.Journal of patient safety · 2025Review
- Use of the measurement tools of TeamSTEPPSBMC medical education · 2025Article
- Preventing unrestricted and unmonitored AI experimentation in healthcare through transparency and accountability.NPJ digital medicine · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionMedical errors still plague healthcare. Operating Room Black Box (ORBB) and ORBB-simulation (ORBBSIM) are innovative emerging technologies which continuously capture as well as categorize intraoperative data, team information, and audio-visual files, in effort to improve objective quality measures. ORBB and ORBBSIM have an opportunity to improve patient safety, yet a paucity of implementation literature exists. Overcoming implementation barriers is critical. This study sought to obtain rich insights while identifying facilitators and barriers to adoption of ORBB and ORBBSIM in alignment with Donabedian's model of health services and healthcare quality. Enrichment themes included translational performance improvement and real-world examples to develop sessions.
methodsInterprofessional OR staff were invited to complete two surveys assessing staff's perceptions using TeamSTEPPS's validated Teamwork Perceptions Questionnaire (T-TPQ) and open-ended questions. Descriptive statistics were calculated for quantitative variables, and inductive phenomenological content analysis was used for qualitative.
resultsSurvey 1 captured 71 responses from 334 invited (RR 21%) while survey 2 captured 47 responses from 157 (RR 29.9%). The T-TPQ score was 65.2, with Communication (70.4) the highest construct and Leadership (58.0) the lowest. Quality Improvement (QI), Patient Safety, and Objective Case Review were the most common perceived ORBB benefits. Trends suggested a reciprocal benefit of dual ORBB and ORBBSIM adoption. Trends also suggested that dual implementation can promote Psychological Safety, culture, trust, and technology comfort. The need for an implementation plan built on change management principles and a constructive culture were key findings.
conclusionsFindings supported ORBB implementation themes from previous literature and deepened our understanding through the exploration of team culture. This blueprint provides a model to help organizations adopt ORBB and ORBBSIM. Outcomes can establish an empirical paradigm for future studies.
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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.