ArticleInternational journal of environmental research and public health2019
Toward Value-Based Healthcare through Interactive Process Mining in Emergency Rooms: The Stroke Case.
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. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.
- Clinical and operational insights from data-driven care pathway mapping: a systematic review.BMC medical informatics and decision making · 2022Pooled it
- Monitoring patient pathways at a secondary healthcare services through process mining via Fuzzy Miner.BMC medical informatics and decision making · 2025Article
- Mapping of care pathways in pediatric and adult palliative care in Spain: A case study.Palliative & supportive care · 2025Article
- Toward value-based care using cost mining: cost aggregation and visualization across the entire colorectal cancer patient pathway.BMC medical research methodology · 2024Article
- Impact of a Nationwide Medication History Sharing Program on the Care Process and End-User Experience in a Tertiary Teaching Hospital: Cohort Study and Cross-Sectional Study.JMIR medical informatics · 2024Article
- Exploring Acute Pancreatitis Clinical Pathways Using a Novel Process Mining Method.Healthcare (Basel, Switzerland) · 2023Article
- Sequence-oriented sensitive analysis for PM2.5 exposure and risk assessment using interactive process mining.PloS one · 2023Article
- Interactive process mining of cancer treatment sequences with melanoma real-world data.Frontiers in oncology · 2023Article
- Signal from the noise: A mixed graphical and quantitative process mining approach to evaluate care pathways applied to emergency stroke care.Journal of biomedical informatics · 2022Article
- The path from big data analytics capabilities to value in hospitals: a scoping review.BMC health services research · 2022Article
- Analytical exploratory tool for healthcare professionals to monitor cancer patients' progress.Frontiers in oncology · 2022Article
- Identifying Frequent Health Care Users and Care Consumption Patterns: Process Mining of Emergency Medical Services Data.Journal of medical Internet research · 2021Article
- Overuse of Health Care in the Emergency Services in Chile.International journal of environmental research and public health · 2021Review
- Dynamic Models Supporting Personalised Chronic Disease Management through Healthcare Sensors with Interactive Process Mining.Sensors (Basel, Switzerland) · 2020Article
- Process Mining-Supported Emergency Room Process Performance Indicators.International journal of environmental research and public health · 2020Article
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Corrections and comments
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Authors and funding
13 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The application of Value-based Healthcare requires not only the identification of key processes in the clinical domain but also an adequate analysis of the value chain delivered to the patient. Data Science and Big Data approaches are technologies that enable the creation of accurate systems that model reality. However, classical Data Mining techniques are presented by professionals as black boxes. This evokes a lack of trust in those techniques in the medical domain. Process Mining technologies are human-understandable Data Science tools that can fill this gap to support the application of Value-Based Healthcare in real domains. The aim of this paper is to perform an analysis of the ways in which Process Mining techniques can support health professionals in the application of Value-Based Technologies. For this purpose, we explored these techniques by analyzing emergency processes and applying the critical timing of Stroke treatment and a Question-Driven methodology. To demonstrate the possibilities of Process Mining in the characterization of the emergency process, we used a real log with 9046 emergency episodes from 2145 stroke patients that occurred from January 2010 to June 2017. Our results demonstrate how Process Mining technology can highlight the differences between the flow of stroke patients compared with that of other patients in an emergency. Further, we show that support for health professionals can be provided by improving their understanding of these techniques and enhancing the quality of care.
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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.