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

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

Document type :

Article dans une revue scientifique: Article original

DOI :

10.3233/SHTI200154

PMID :

32570378

Permalink :

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

Title :

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

Author(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

Journal title :

Studies in Health Technology and Informatics

Abbreviated title :

Stud Health Technol Inform

Volume number :

270

Pages :

218-222

Publication date :

2020-06-27

ISSN :

1879-8365

English keyword(s) :

Data Visualization
Data Reuse
Patient Path
Sankey Diagram

HAL domain(s) :

Sciences du Vivant [q-bio]

English abstract : [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 ...
Show more >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.Show less >

Language :

Anglais

Audience :

Internationale

Popular science :

Non

Administrative institution(s) :

Université de Lille
CHU Lille

Collections :

Submission date :

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

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Except where otherwise noted, this item's license is described as Attribution-NonCommercial 3.0 United States

Version	Link	Modification date
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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