From data strategy to implementation to advance cancer research and cancer care: A French comprehensive cancer center experience.


Journal

PLOS digital health
ISSN: 2767-3170
Titre abrégé: PLOS Digit Health
Pays: United States
ID NLM: 9918335064206676

Informations de publication

Date de publication:
Dec 2023
Historique:
received: 28 03 2023
accepted: 20 11 2023
medline: 19 12 2023
pubmed: 19 12 2023
entrez: 19 12 2023
Statut: epublish

Résumé

In a comprehensive cancer center, effective data strategies are essential to evaluate practices, and outcome, understanding the disease and prognostic factors, identifying disparities in cancer care, and overall developing better treatments. To achieve these goals, the Center Léon Bérard (CLB) considers various data collection strategies, including electronic medical records (EMRs), clinical trial data, and research projects. Advanced data analysis techniques like natural language processing (NLP) can be used to extract and categorize information from these sources to provide a more complete description of patient data. Data sharing is also crucial for collaboration across comprehensive cancer centers, but it must be done securely and in compliance with regulations like GDPR. To ensure data is shared appropriately, CLB should develop clear data sharing policies and share data in a controlled, standardized format like OSIRIS RWD, OMOP and FHIR. The UNICANCER initiative has launched the CONSORE project to support the development of a structured and standardized repository of patient data to improve cancer research and patient outcomes. Real-world data (RWD) studies are vital in cancer research as they provide a comprehensive and accurate picture of patient outcomes and treatment patterns. By incorporating RWD into data collection, analysis, and sharing strategies, comprehensive cancer centers can take a more comprehensive and patient-centered approach to cancer research. In conclusion, comprehensive cancer centers must take an integrated approach to data collection, analysis, and sharing to enhance their understanding of cancer and improve patient outcomes. Leveraging advanced data analytics techniques and developing effective data sharing policies can help cancer centers effectively harness the power of data to drive progress in cancer research.

Identifiants

pubmed: 38113207
doi: 10.1371/journal.pdig.0000415
pii: PDIG-D-23-00112
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e0000415

Informations de copyright

Copyright: © 2023 Heudel et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Pierre Heudel (P)

Department of Medical Oncology, Centre Léon Bérard, Lyon, France.

Hugo Crochet (H)

Data and Artificial Intelligence Team, Centre Léon Bérard, Lyon, France.

Thierry Durand (T)

Data protection officer, Centre Léon Bérard, Lyon, France.

Philippe Zrounba (P)

Department of Surgical Oncology, Centre Léon Bérard, Lyon, France.

Jean-Yves Blay (JY)

Department of Medical Oncology, Centre Léon Bérard, Lyon, France.
General Director, Centre Léon Bérard, Lyon, France.

Classifications MeSH