Related references
Note: Only part of the references are listed.
Article
Critical Care Medicine
Dave A. Dongelmans et al.
Summary: This study assessed the trends in the quality of care for COVID-19 patients in the ICU over time in the Netherlands. The study found that during the second and third waves, there was a decrease in the use of mechanical ventilation and vasoactive drugs compared to the first wave. The mortality rate was significantly lower in the third wave.
ANNALS OF INTENSIVE CARE
(2022)
Article
Infectious Diseases
Jakob J. Malin et al.
Summary: This executive summary of a national living guideline provides rapid evidence-based recommendations on drug interventions for hospitalized patients with COVID-19, using systematic assessment and decision processes. 11 key recommendations for COVID-19 drug therapy are included in the guideline, with strong recommendations for corticosteroids and prophylactic anticoagulation as standard of care. The guidelines will be updated as new evidence emerges.
Article
Computer Science, Interdisciplinary Applications
Jorge Munoz-Gama et al.
Summary: Process mining techniques are not widely used in healthcare beyond targeted case studies, and there is a need for further research and improvement to consider the characteristics of healthcare processes.
JOURNAL OF BIOMEDICAL INFORMATICS
(2022)
Article
Computer Science, Interdisciplinary Applications
Adriano Augusto et al.
Summary: This paper presents a methodology for applying process mining techniques to analyze healthcare process data, discusses the challenges and limitations when dealing with highly variable processes and large datasets, and showcases the research findings on vaccination patterns during the COVID-19 pandemic in Victoria.
JOURNAL OF BIOMEDICAL INFORMATICS
(2022)
Review
Computer Science, Interdisciplinary Applications
Eimy Oliart et al.
Summary: This scoping review systematically assesses the criteria used to measure adherence to clinical guidelines in the past 20 years and explores the suitability of using process mining techniques. By translating narrative text rules into a high-level process model, the study explores the main patterns and gaps in measuring adherence to clinical guidelines and their impact on the adoption of process mining techniques in healthcare.
JOURNAL OF BIOMEDICAL INFORMATICS
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Riza Velioglu et al.
Summary: In modern business processes, the amount of collected data has significantly increased in recent years. Automated knowledge extraction based on process mining has been proposed to provide users with intuitive access to this valuable data. While most technologies focus on reconstructing explicit business process models, machine learning (ML) has not been widely applied. This contribution evaluates the ability of modern Transformer architectures and traditional ML technologies to model process regularities and predict outcomes. The results demonstrate the effectiveness of ML models in predicting critical outcomes, and the attention mechanisms and feature relevance determination highlight important features for process predictions.
INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2022
(2022)
Proceedings Paper
Business
Marco Pegoraro et al.
Summary: With the recent increase in availability of medical data, enabled by the automation and digitization of medical equipment, accurate and complete analysis of patients' medical data has become possible through various branches of data science. This paper presents preliminary findings obtained through established process mining techniques on the medical data of COVID-19 patients at Uniklinik Aachen hospital, showing that these techniques can be used to reconstruct a model of ICU treatments for COVID patients.
BUSINESS INFORMATION SYSTEMS WORKSHOPS, BIS 2021
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Marco Pegoraro et al.
Summary: This paper presents a method to reliably estimate the probability of uncertain scenarios by analyzing event data, enabling more trustworthy analyses on uncertain data.
PROCESS MINING WORKSHOPS, ICPM 2021
(2022)
Article
Education & Educational Research
Gabrielle dos Santos Leandro et al.
Summary: The study revealed that the Covid-19 pandemic resulted in deteriorating health conditions upon hospital admission, reduced hospitalization time, increased delays in receiving reperfusion therapies, and a preference for referral hospitals over emergency services. Process mining was effective in identifying time-sensitive events and improving patient safety, with potential for replication in other healthcare studies.
KNOWLEDGE MANAGEMENT & E-LEARNING-AN INTERNATIONAL JOURNAL
(2021)
Review
Health Care Sciences & Services
Davide Golinelli et al.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2020)
Review
Computer Science, Interdisciplinary Applications
Eric Rojas et al.
JOURNAL OF BIOMEDICAL INFORMATICS
(2016)
Article
Computer Science, Information Systems
Alvaro Rebuge et al.
INFORMATION SYSTEMS
(2012)