Evidence map›Paper›PMID 32927669›Full record

ArticleInternational journal of environmental research and public health2020

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

Michael Arias, Eric Rojas, Santiago Aguirre, Felipe Cornejo, Jorge Munoz-Gama, Marcos Sepúlveda, Daniel Capurro

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Michael AriasDepartment of Business Computer Science, Universidad de Costa Rica, San Ramón 111-4250, Costa Rica.ORCID 0000-0003-1014-342X
Eric RojasDepartment of Clinical Laboratories, School of Medicine, Pontificia Universidad Católica de Chile, Santiago 8320000, Chile.ORCID 0000-0002-2570-1861
Santiago AguirreDepartment of Industrial Engineering, School of Engineering, Pontificia Universidad Javeriana, Bogotá 110231, Colombia.ORCID 0000-0002-8787-1655
Felipe CornejoDepartment of Computer Science, School of Engineering, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile.ORCID 0000-0002-0458-5347
Jorge Munoz-GamaDepartment of Computer Science, School of Engineering, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile.ORCID 0000-0002-6908-3911
Marcos SepúlvedaDepartment of Computer Science, School of Engineering, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile.ORCID 0000-0002-9467-7666
Daniel CapurroSchool of Computing and Information Systems, University of Melbourne, Victoria 3010, Australia.ORCID 0000-0002-9256-1256

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Consumer BehaviorDelivery of Health CareAgedAged, 80 and overCommerceFemaleHumansMaleMarketing of Health Servicescustomer journey mapshealthcareprocess mining

Identifiers

PMID32927669
PMCPMC7557979

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.