ArticleSensors (Basel, Switzerland)2015
Process Mining Methodology for Health Process Tracking Using Real-Time Indoor Location Systems.
Article in Sensors (Basel, Switzerland), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 3 of them syntheses 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
24 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Process mining in healthcare: a tertiary study.BMC medical informatics and decision making · 2025Pooled it
- Clinical and operational insights from data-driven care pathway mapping: a systematic review.BMC medical informatics and decision making · 2022Pooled it
- Real-time locating systems to improve healthcare delivery: A systematic review.Journal of the American Medical Informatics Association : JAMIA · 2021Pooled it
- Benchmarking Modern Day Pencil Beam Scanning Proton Therapy Treatment Times: Insights From Real Time Location Service Treatment Time Data.International journal of particle therapy · 2025Article
- An Integrated Predictive Impact-Enhanced Process Mining Framework for Strategic Oncology Workflow Optimization: Case Study in Iran.Bioengineering (Basel, Switzerland) · 2025Article
- Indoor positioning systems provide insight into emergency department systems enabling proposal of designs to improve workflow.Communications medicine · 2025Article
- Validation of an interactive process mining methodology for clinical epidemiology through a cohort study on chronic kidney disease progression.Scientific reports · 2024Article
- Article
- Applying cognitive task analysis to health services research.Health services research · 2023Article
- Sequence-oriented sensitive analysis for PM2.5 exposure and risk assessment using interactive process mining.PloS one · 2023Article
- Characterization of Laboratory Flow and Performance for Process Improvements via Application of Process Mining.Applied clinical informatics · 2023Article
- Using a Real-Time Locating System to Evaluate the Impact of Telemedicine in an Emergency Department During COVID-19: Observational Study.Journal of medical Internet research · 2021Observational
- A Survey About Real-Time Location Systems in Healthcare Environments.Journal of medical systems · 2021Review
- Design and Evaluation of a Solo-Resident Smart Home Testbed for Mobility Pattern Monitoring and Behavioural Assessment.Sensors (Basel, Switzerland) · 2020Article
- Toward Value-Based Healthcare through Interactive Process Mining in Emergency Rooms: The Stroke Case.International journal of environmental research and public health · 2019Article
- Leveraging Data Quality to Better Prepare for Process Mining: An Approach Illustrated Through Analysing Road Trauma Pre-Hospital Retrieval and Transport Processes in Queensland.International journal of environmental research and public health · 2019Article
- Analyzing of Gender Behaviors from Paths Using Process Mining: A Shopping Mall Application.Sensors (Basel, Switzerland) · 2019Article
- Process Mining Dashboard in Operating Rooms: Analysis of Staff Expectations with Analytic Hierarchy Process.International journal of environmental research and public health · 2019Article
- Article
- Can process mining automatically describe care pathways of patients with long-term conditions in UK primary care? A study protocol.BMJ open · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The definition of efficient and accurate health processes in hospitals is crucial for ensuring an adequate quality of service. Knowing and improving the behavior of the surgical processes in a hospital can improve the number of patients that can be operated on using the same resources. However, the measure of this process is usually made in an obtrusive way, forcing nurses to get information and time data, affecting the proper process and generating inaccurate data due to human errors during the stressful journey of health staff in the operating theater. The use of indoor location systems can take time information about the process in an unobtrusive way, freeing nurses, allowing them to engage in purely welfare work. However, it is necessary to present these data in a understandable way for health professionals, who cannot deal with large amounts of historical localization log data. The use of process mining techniques can deal with this problem, offering an easily understandable view of the process. In this paper, we present a tool and a process mining-based methodology that, using indoor location systems, enables health staff not only to represent the process, but to know precise information about the deployment of the process in an unobtrusive and transparent way. We have successfully tested this tool in a real surgical area with 3613 patients during February, March and April of 2015.
Indexed as
Identifiers
What 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.