Mapping the Patient's Journey in Healthcare through Process Mining.


Journal

International journal of environmental research and public health
ISSN: 1660-4601
Titre abrégé: Int J Environ Res Public Health
Pays: Switzerland
ID NLM: 101238455

Informations de publication

Date de publication:
10 09 2020
Historique:
received: 09 08 2020
revised: 01 09 2020
accepted: 03 09 2020
entrez: 15 9 2020
pubmed: 16 9 2020
medline: 1 12 2020
Statut: epublish

Résumé

Nowadays, assessing and improving customer experience has become a priority, and has emerged as a key differentiator for business and organizations worldwide. A customer journey (CJ) is a strategic tool, a map of the steps customers follow when engaging with a company or organization to obtain a product or service. The increase of the need to obtain knowledge about customers' perceptions and feelings when interacting with participants, touchpoints, and channels through different stages of the customer life cycle. This study aims to describe the application of process mining techniques in healthcare as a tool to asses customer journeys. The appropriateness of the approach presented is illustrated through a case study of a key healthcare process. Results depict how a healthcare process can be mapped through the CJ components, and its analysis can serve to understand and improve the patient's experience.

Identifiants

pubmed: 32927669
pii: ijerph17186586
doi: 10.3390/ijerph17186586
pmc: PMC7557979
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Références

J Biomed Inform. 2018 Feb;78:60-77
pubmed: 29289628
BMC Med Inform Decis Mak. 2018 Jan 12;18(1):6
pubmed: 29329532
J Biomed Inform. 2016 Jun;61:224-36
pubmed: 27109932
Soc Sci Med. 1997 Dec;45(12):1829-43
pubmed: 9447632
Int J Environ Res Public Health. 2019 May 28;16(11):
pubmed: 31141904

Auteurs

Michael Arias (M)

Department of Business Computer Science, Universidad de Costa Rica, San Ramón 111-4250, Costa Rica.

Eric Rojas (E)

Department of Clinical Laboratories, School of Medicine, Pontificia Universidad Católica de Chile, Santiago 8320000, Chile.

Santiago Aguirre (S)

Department of Industrial Engineering, School of Engineering, Pontificia Universidad Javeriana, Bogotá 110231, Colombia.

Felipe Cornejo (F)

Department of Computer Science, School of Engineering, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile.

Jorge Munoz-Gama (J)

Department of Computer Science, School of Engineering, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile.

Marcos Sepúlveda (M)

Department of Computer Science, School of Engineering, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile.

Daniel Capurro (D)

School of Computing and Information Systems, University of Melbourne, Victoria 3010, Australia.

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Classifications MeSH