Using graph theory to flexibly construct patient journeys in linked healthcare data

Our method assists in preparing data for epidemiological research in New South Wales and can be generalised to inpatient data in other jurisdictions. The method can be extended to include ambulance and emergency department data.

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Publication Details

Journal
International Journal for Population Data Science
Published
2025-10-09
DOI
https://doi.org/10.23889/ijpds.v10i1.2371
Primary Topic
Chronic Disease Management Strategies
Type
article
Field-Weighted Citation Impact
0.00

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article

Using graph theory to flexibly construct patient journeys in linked healthcare data

Rachel Farber, Maria Alfaro-Ramirez, Branislav Igic, Ian Powell et al.
International Journal for Population Data Science
Chronic Disease Management Strategies
article

Using graph theory to flexibly construct patient journeys in linked healthcare data

Rachel Farber, Maria Alfaro-Ramirez, Branislav Igic, Ian Powell, Zhisheng Sa, Michael Nelson
article en

Abstract

Our method assists in preparing data for epidemiological research in New South Wales and can be generalised to inpatient data in other jurisdictions. The method can be extended to include ambulance and emergency department data.

International Journal for Population Data ScienceVol. 10(1)
New South Wales Department of Health (AU)
NSW Ministry of Health
Openalex Percentile: Top 62%
Chronic Disease Management Strategies
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