Next Article in Journal
Process Waters from Hydrothermal Carbonization of Sludge: Characteristics and Possible Valorization Pathways
Next Article in Special Issue
Using a Multi-Level Process Comparison for Process Change Analysis in Cancer Pathways
Previous Article in Journal
Economic Crisis Impact and Social Determinants of Perinatal Outcomes and Infant Mortality in Greece
Previous Article in Special Issue
Mapping the Patient’s Journey in Healthcare through Process Mining
Open AccessPerspective

What Role Can Process Mining Play in Recurrent Clinical Guidelines Issues? A Position Paper

1
Dipartimento di Scienze Cliniche e Sperimentali dell’Università degli Studi di Brescia, 25128 Brescia, Italy
2
School of Computing and Engineering, University of Huddersfield, Huddersfield HD13DH, UK
3
PM4Health-SABIEN-ITACA, Universitat Politècnica de València, 46022 València, Spain
4
Department of Clinical Sciences, Intervention and Technology (CLINTEC), Karolinska Institutet, 171 77 Stockholm, Sweden
5
Alzheimer Operative Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, 25128 Brescia, Italy
6
Department of Electrical, Computer and Biomedical Engineering, Università di Pavia, 27100 Pavia, Italy
7
Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Roma, Italy
8
Department of Computer Engineering and Science, Universitat Jaume I, 12071 Castelló de la Plana, Spain
9
Human & Process Research Lab (HAPLAB), Department of Computer Science, School of Engineering, Pontificia Universidad Católica de Chile, 3580000 Santiago, Chile
10
Department of Oncology, University Hospital of Lausanne, 1011 Lausanne, Switzerland
11
Swiss Institute of Bioinformatics, UNIL Sorge, 1015 Lausanne, Switzerland
12
Radiation Oncology, Réseau Hospitalier Neuchâtelois, 2000 La Chaux-de-Fonds, Switzerland
13
Department of Oncology, Lausanne University Hospital, University of Lausanne, 1015 Lausanne, Switzerland
14
Norwegian Centre for E-health Research, University Hospital of North Norway, 7439 Tromsø, Norway
15
Dipartimento di Ingegneria dell’energia dei sistemi del territorio e delle costruzioni, Università degli Studi di Pisa, 56126 Pisa, Italy
16
Department of Cardiology, Medical Academy, Lithuanian University of Health Sciences, 44307 Kaunas, Lithuania
17
Department of Radiology, Medical Academy, Lithuanian University of Health Sciences, 44307 Kaunas, Lithuania
18
Data Analytics Laboratory, Vrije Universiteit Brussel, 1050 Ixelles, Belgium
19
Research Foundation Flanders (FWO), 1000 Brussel, Belgium
20
Hasselt University, 3500 Hasselt, Belgium
21
Department of Information Engineering, Università degli Studi di Padova, 35122 Padova, Italy
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2020, 17(18), 6616; https://doi.org/10.3390/ijerph17186616
Received: 8 August 2020 / Revised: 6 September 2020 / Accepted: 8 September 2020 / Published: 11 September 2020
(This article belongs to the Special Issue Process-Oriented Data Science for Healthcare 2019 (PODS4H19))
In the age of Evidence-Based Medicine, Clinical Guidelines (CGs) are recognized to be an indispensable tool to support physicians in their daily clinical practice. Medical Informatics is expected to play a relevant role in facilitating diffusion and adoption of CGs. However, the past pioneering approaches, often fragmented in many disciplines, did not lead to solutions that are actually exploited in hospitals. Process Mining for Healthcare (PM4HC) is an emerging discipline gaining the interest of healthcare experts, and seems able to deal with many important issues in representing CGs. In this position paper, we briefly describe the story and the state-of-the-art of CGs, and the efforts and results of the past approaches of medical informatics. Then, we describe PM4HC, and we answer questions like how can PM4HC cope with this challenge? Which role does PM4HC play and which rules should be employed for the PM4HC scientific community? View Full-Text
Keywords: clinical guidelines; process mining; healthcare clinical guidelines; process mining; healthcare
Show Figures

Figure 1

MDPI and ACS Style

Gatta, R.; Vallati, M.; Fernandez-Llatas, C.; Martinez-Millana, A.; Orini, S.; Sacchi, L.; Lenkowicz, J.; Marcos, M.; Munoz-Gama, J.; Cuendet, M.A.; de Bari, B.; Marco-Ruiz, L.; Stefanini, A.; Valero-Ramon, Z.; Michielin, O.; Lapinskas, T.; Montvila, A.; Martin, N.; Tavazzi, E.; Castellano, M. What Role Can Process Mining Play in Recurrent Clinical Guidelines Issues? A Position Paper. Int. J. Environ. Res. Public Health 2020, 17, 6616.

AMA Style

Gatta R, Vallati M, Fernandez-Llatas C, Martinez-Millana A, Orini S, Sacchi L, Lenkowicz J, Marcos M, Munoz-Gama J, Cuendet MA, de Bari B, Marco-Ruiz L, Stefanini A, Valero-Ramon Z, Michielin O, Lapinskas T, Montvila A, Martin N, Tavazzi E, Castellano M. What Role Can Process Mining Play in Recurrent Clinical Guidelines Issues? A Position Paper. International Journal of Environmental Research and Public Health. 2020; 17(18):6616.

Chicago/Turabian Style

Gatta, Roberto; Vallati, Mauro; Fernandez-Llatas, Carlos; Martinez-Millana, Antonio; Orini, Stefania; Sacchi, Lucia; Lenkowicz, Jacopo; Marcos, Mar; Munoz-Gama, Jorge; Cuendet, Michel A.; de Bari, Berardino; Marco-Ruiz, Luis; Stefanini, Alessandro; Valero-Ramon, Zoe; Michielin, Olivier; Lapinskas, Tomas; Montvila, Antanas; Martin, Niels; Tavazzi, Erica; Castellano, Maurizio. 2020. "What Role Can Process Mining Play in Recurrent Clinical Guidelines Issues? A Position Paper" Int. J. Environ. Res. Public Health 17, no. 18: 6616.

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop