ArticleInternational journal of environmental research and public health2019
Process Mining Dashboard in Operating Rooms: Analysis of Staff Expectations with Analytic Hierarchy Process.
Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05714267 (The Effect of Noise Control and Music Therapy on Anxiety, Vital Signs and Post-Operative Pain in Total Knee Prosthesis Surgery), which is not on this map. Cited by 6 papers.
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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.
The Effect of Noise Control and Music Therapy on Anxiety, Vital Signs and Post-Operative Pain in Total Knee Prosthesis Surgery
Who cites it
6 citing papers in PubMed, 34 citations in OpenAlex.
- Optimization of hospital resource scheduling efficiency based on dynamic weighted distance anomaly detection algorithm.Scientific reports · 2026Article
- Leveraging process mining for modeling progression trajectories in amyotrophic lateral sclerosis.BMC medical informatics and decision making · 2023Article
- Interactive process mining of cancer treatment sequences with melanoma real-world data.Frontiers in oncology · 2023Article
- Resilience in the Surgical Scheduling to Support Adaptive Scheduling System.International journal of environmental research and public health · 2020Article
- Infection Spread and High-Resolution Detection of Close Contact Behaviors.International journal of environmental research and public health · 2020Article
- Motivations Influencing the Surgeon's Healthcare Unit Choice to Perform Surgery: A Confirmatory Study in Portugal.European journal of investigation in health, psychology and education · 2019Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The widespread adoption of real-time location systems is boosting the development of software applications to track persons and assets in hospitals. Among the vast amount of applications, real-time location systems in operating rooms have the advantage of grounding advanced data analysis techniques to improve surgical processes, such as process mining. However, such applications still find entrance barriers in the clinical context. In this paper, we aim to evaluate the preferred features of a process mining-based dashboard deployed in the operating rooms of a hospital equipped with a real-time location system. The dashboard allows to discover and enhance flows of patients based on the location data of patients undergoing an intervention. Analytic hierarchy process was applied to quantify the prioritization of the dashboard features (filtering data, enhancement, node selection, statistics, etc.), distinguishing the priorities that each of the different roles in the operating room service assigned to each feature. The staff in the operating rooms (
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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.