Process mining for healthcare: Characteristics and challenges

被引：145

作者：

Munoz-Gama, Jorge ^{[1
]}

Martin, Niels ^{[2
,3
]}

Fernandez-Llatas, Carlos ^{[4
,7
]}

Johnson, Owen A. ^{[5
]}

Sepulveda, Marcos ^{[1
]}

Helm, Emmanuel ^{[6
]}

Galvez-Yanjari, Victor ^{[1
]}

Rojas, Eric ^{[1
]}

Martinez-Millana, Antonio ^{[4
]}

Aloini, Davide ^{[11
]}

Amantea, Ilaria Angela ^{[12
,17
,18
]}

Andrews, Robert ^{[28
]}

Arias, Michael

Beerepoot, Iris ^{[15
]}

Benevento, Elisabetta ^{[11
]}

Burattin, Andrea ^{[35
]}

Capurro, Daniel ^{[10
]}

Carmona, Josep ^{[19
,26
]}

Comuzzi, Marco ^{[23
]}

Dalmas, Benjamin ^{[36
,37
]}

de la Fuente, Rene ^{[1
]}

Di Francescomarino, Chiara ^{[8
]}

Di Ciccio, Claudio ^{[9
]}

Gatta, Roberto ^{[30
,31
]}

Ghidini, Chiara

Gonzalez-Lopez, Fernanda ^{[1
]}

Ibanez-Sanchez, Gema ^{[4
]}

Klasky, Hilda B. ^{[16
]}

Kurniati, Angelina Prima ^{[40
]}

Lu, Xixi ^{[15
]}

Mannhardt, Felix ^{[13
]}

Mans, Ronny ^{[32
]}

Marcos, Mar ^{[22
]}

de Carvalho, Renata Medeiros ^{[13
]}

Pegoraro, Marco ^{[24
]}

Poon, Simon K. ^{[33
]}

Pufahl, Luise ^{[21
]}

Reijers, Hajo A.

Remy, Simon ^{[25
]}

Rinderle-Ma, Stefanie ^{[34
]}

Sacchi, Lucia ^{[20
]}

Seoane, Fernando ^{[7
,38
,39
]}

Song, Minseok ^{[27
]}

Stefanini, Alessandro ^{[11
]}

Sulis, Emilio ^{[12
,17
]}

ter Hofstede, Arthur H. M. ^{[28
]}

Toussaint, Pieter J. ^{[29
]}

Traver, Vicente ^{[4
]}

Valero-Ramon, Zoe ^{[4
]}

van de Weerd, Inge ^{[15
]}

机构：

[1] Pontificia Univ Catolica Chile, Santiago, Chile

[2] Hasselt Univ, Hasselt, Belgium

[3] Res Fdn Flanders FWO, Bilzen, Belgium

[4] Univ Politecn Valencia, Valencia, Spain

[5] Univ Leeds, Leeds, W Yorkshire, England

[6] Univ Appl Sci Upper Austria, Wels, Austria

[7] Karolinska Inst, Karolinska, Sweden

[8] Fdn Bruno Kessler, Trento, Italy

[9] Sapienza Univ Rome, Rome, Italy

[10] Univ Melbourne, Melbourne, Vic 3010, Australia

[11] Univ Pisa, Pisa, Italy

[12] Univ Turin, I-10124 Turin, Italy

[13] Eindhoven Univ Technol, Eindhoven, Netherlands

[14] Univ St Gallen, St Gallen, Switzerland

[15] Univ Utrecht, Utrecht, Netherlands

[16] Oak Ridge Natl Lab, Oak Ridge, TN USA

[17] Univ Bologna, Bologna, Italy

[18] Univ Luxembourg, Luxembourg, Luxembourg

[19] Univ Politecn Cataluna, Catalunya, Spain

[20] Univ Pavia, Pavia, Italy

[21] Tech Univ Berlin, Berlin, Germany

[22] Univ Jaume 1, Madrid, Spain

[23] Ulsan Natl Inst Sci & Technol UNIST, Ulsan, South Korea

[24] Rhein Westfal TH Aachen, Aachen, Germany

[25] Univ Potsdam, Potsdam, Germany

[26] Univ Costa Rica, San Pedro, Costa Rica

[27] Pohang Univ Sci & Technol, Pohang, South Korea

[28] Queensland Univ Technol, Brisbane, Qld, Australia

[29] Norwegian Univ Sci & Technol, Oslo, Norway

[30] Univ Brescia, Brescia, Italy

[31] Lausanne Univ Hosp CHUV, Lausanne, Switzerland

[32] Philips Res, Eindhoven, Netherlands

[33] Univ Sydney, Sydney, NSW 2006, Australia

[34] Tech Univ Munich, Munich, Germany

[35] Tech Univ Denmark, Lyngby, Denmark

[36] Mines St Etienne, St Etienne, France

[37] Univ Clermont Auvergne, Clermont Ferrand, France

[38] Telkom Univ, Bandung, Indonesia

[39] Karolinska Univ Hosp, Karlskrona, Sweden

[40] Univ Boras, Boras, Sweden

来源：

JOURNAL OF BIOMEDICAL INFORMATICS | 2022年 / 127卷

关键词：

Process mining; Healthcare; HOSPITAL INFORMATION-SYSTEMS; CLINICAL-PRACTICE GUIDELINES; PATIENT-CENTERED CARE; PROCESS MODELS; EVENT LOG; FRAMEWORK; DATABASE; OUTCOMES; TRIPLE; AIM;

D O I：

10.1016/j.jbi.2022.103994

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Process mining techniques can be used to analyse business processes using the data logged during their execution. These techniques are leveraged in a wide range of domains, including healthcare, where it focuses mainly on the analysis of diagnostic, treatment, and organisational processes. Despite the huge amount of data generated in hospitals by staff and machinery involved in healthcare processes, there is no evidence of a systematic uptake of process mining beyond targeted case studies in a research context. When developing and using process mining in healthcare, distinguishing characteristics of healthcare processes such as their variability and patient-centred focus require targeted attention. Against this background, the Process-Oriented Data Science in Healthcare Alliance has been established to propagate the research and application of techniques targeting the data-driven improvement of healthcare processes. This paper, an initiative of the alliance, presents the distinguishing characteristics of the healthcare domain that need to be considered to successfully use process mining, as well as open challenges that need to be addressed by the community in the future.

引用

页数：15

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