Titre
Cohort Builder: A Software Pipeline for Generating Patient Cohorts with Predetermined Baseline Characteristics from Medical Records and Raw Ophthalmic Imaging Data
Type
chapitre
Institution
UNIL/CHUV/Unisanté + institutions partenaires
Série
Studies in health technology and informatics
Auteur(s)
Mousavi, Sepehr
Auteure/Auteur
Garjani, Ali
Auteure/Auteur
Elwakil, Adham
Auteure/Auteur
Brock, Laurent Pierre
Auteure/Auteur
Dherse, Alexandre
Auteure/Auteur
Forestier, Edwige
Auteure/Auteur
Palaz, Marine
Auteure/Auteur
Seiler, Emilien
Auteure/Auteur
Duriez, Alexia
Auteure/Auteur
Martin, Thibaud
Auteure/Auteur
Wolfensberger, Thomas
Auteure/Auteur
Schlingemann, Reinier
Auteure/Auteur
Meloni, Ilenia
Auteure/Auteur
Bergin, Ciara
Auteure/Auteur
Tomasoni, Mattia
Auteure/Auteur
Liens vers les unités
Maison d’édition
IOS Press
Titre du livre ou conférence/colloque
Digital Health and Informatics Innovations for Sustainable Health Care Systems
ISBN du livre
9781643685335
Statut éditorial
Publié
Date de publication
2024-08-22
Volume
316
Première page
1151
Dernière page/numéro d’article
1155
Peer-reviewed
Oui
Langue
anglais
Résumé
In clinical research, the analysis of patient cohorts is a widely employed method for investigating relevant healthcare questions. The ability to automatically extract large-scale patient cohorts from hospital systems is vital in order to unlock the potential of real-world clinical data, and answer pivotal medical questions through retrospective research studies. However, existing medical data is often dispersed across various systems and databases, preventing a systematic approach to access and interoperability. Even when the data are readily accessible, clinical researchers need to sift through Electronic Medical Records, confirm ethical approval, verify status of patient consent, check the availability of imaging data, and filter the data based on disease-specific image biomarkers. We present Cohort Builder, a software pipeline designed to facilitate the creation of patient cohorts with predefined baseline characteristics from real-world ophthalmic imaging data and electronic medical records. The applicability of our approach extends beyond ophthalmology to other medical domains with similar requirements such as neurology, cardiology and orthopedics.
PID Serval
serval:BIB_A21A8D0481BB
PMID
Open Access
Oui
Date de création
2024-08-30T08:45:04.795Z
Date de création dans IRIS
2025-05-21T02:22:17Z
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Nom
39176584.pdf
Version du manuscrit
published
Licence
https://creativecommons.org/licenses/by-nc/4.0
Taille
519.44 KB
Format
Adobe PDF
PID Serval
serval:BIB_A21A8D0481BB.P001
URN
urn:nbn:ch:serval-BIB_A21A8D0481BB1
Somme de contrôle
(MD5):4061e68cd82fa855a276e6b23df02f3a