Exploring Patient Path Through Sankey Diagram: A Proof of Concept.

Lamer, Antoine; Laurent, Gery; Pelayo, Sylvie; El Amrani, Mehdi; Chazard, Emmanuel; Marcilly, Romaric

Type de document :

Article dans une revue scientifique: Article original

DOI :

10.3233/SHTI200154

PMID :

32570378

URL permanente :

http://hdl.handle.net/20.500.12210/90613

Titre :

Exploring Patient Path Through Sankey Diagram: A Proof of Concept.

Auteur(s) :

Lamer, Antoine [Auteur]

METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Laurent, Gery [Auteur]
Centre d'Investigation Clinique - Innovation Technologique de Lille - CIC 1403 - CIC 9301 [CIC Lille]
Pelayo, Sylvie [Auteur]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
El Amrani, Mehdi [Auteur]
Miniaturisation pour la Synthèse, l'Analyse et la Protéomique (MSAP) - USR 3290
Chazard, Emmanuel [Auteur]

METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Marcilly, Romaric [Auteur]

METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694

Titre de la revue :

Studies in Health Technology and Informatics

Nom court de la revue :

Stud Health Technol Inform

Numéro :

270

Pagination :

218-222

Date de publication :

2020-06-27

ISSN :

1879-8365

Mot(s)-clé(s) en anglais :

Data Visualization
Data Reuse
Patient Path
Sankey Diagram

Discipline(s) HAL :

Sciences du Vivant [q-bio]

Résumé en anglais : [en]

Managers, physicians and researchers need to study patient’s path for purposes of management, quality of care and research. We present the proof of concept of the use of a flow diagram, the Sankey diagram, to visualize the ...
Lire la suite >Managers, physicians and researchers need to study patient’s path for purposes of management, quality of care and research. We present the proof of concept of the use of a flow diagram, the Sankey diagram, to visualize the trajectory of a population that experienced an event. This representation was tested with two case studies in populations from the anesthesia data warehouse of Lille University Hospital. For the 551 patients undergoing a pancreaticoduodenectomy, Sankey diagram helped us identify atypical care paths of patient being transferred too late in an intensive care unit. For 473953 patients who have had anesthesia procedure, Sankey diagram highlighted that mortality and re-operation rates increase with the number of operations. This preliminary work has been well received by end-users and allowed managers, physicians and researchers to visualize the paths of patients and to provide visualization support for research questions. This work will be followed by generalization.Lire moins >

Langue :

Anglais

Audience :

Internationale

Vulgarisation :

Non

Établissement(s) :

Université de Lille
CHU Lille

Collections :

Date de dépôt :

2023-11-15T08:40:22Z
2023-12-11T10:56:02Z

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SHTI-270-SHTI200154.pdf
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Ce document est diffusé sous licence Attribution-NonCommercial 3.0 United States

Numéro de version	Lien	Date de modification
2	20.500.12210/90613*	2023-12-11T10:48:33Z
1	20.500.12210/90613.1	2023-11-15T08:40:22Z

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