Improving Patient Consent Processes: A Case Study in Clinical Trials

Amélioration des processus de consentement patient: une étude de cas dans le domaine des essais cliniques

Negar Armaghan () and Isabelle Bourdon ()
Additional contact information
Negar Armaghan: MRM - Montpellier Research in Management - UPVD - Université de Perpignan Via Domitia - UM - Université de Montpellier
Isabelle Bourdon: MRM - Montpellier Research in Management - UPVD - Université de Perpignan Via Domitia - UM - Université de Montpellier

Post-Print from HAL

Abstract: The management of the patient consent process is a particularly important issue in clinical research. In France, the general principle is the obligation to provide clear and precise information to all patients and to obtain their informed consent. The aim of this paper is to model the impact of a blockchain solution on the patient consent process in clinical trials. Indeed, blockchain is a technology that enables the provision of new healthcare services, such as the traceability of patient consent. We conducted a case study of patient consent processes in clinical research, applying business process management (BPM) modelling principles. The results highlight the ability of blockchain to manage consent processes, ensuring fast and reliable access to relevant consent information for stakeholders

Keywords: Blockchain; health; patient consent; Business Process Management; clinical trials (search for similar items in EconPapers)
Date: 2025-05-21
References: Add references at CitEc
Citations:

Published in 30e Conférences de l’Association Information et Management: Evolutions et perspectives des systèmes d’information dans les organisations et sociétés en transition, AIM 2025, May 2025, Lyon, France

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05084868

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().