A Blockchain-Based Consent Platform for Active Assisted Living: Modeling Study and Conceptual Framework.
J Med Internet Res
; 22(12): e20832, 2020 12 04.
Article
en En
| MEDLINE
| ID: mdl-33275111
ABSTRACT
BACKGROUND:
Recent advancements in active assisted living (AAL) technologies allow older adults to age well in place. However, sensing technologies increase the complexity of data collection points, making it difficult for users to consent to data collection. One possible solution for improving transparency in the consent management process is the use of blockchain, an immutable and timestamped ledger.OBJECTIVE:
This study aims to provide a conceptual framework based on technology aimed at mitigating trust issues in the consent management process.METHODS:
The consent management process was modeled using established methodologies to obtain a mapping of trust issues. This mapping was then used to develop a conceptual framework based on previous monitoring and surveillance architectures for connected devices.RESULTS:
In this paper, we present a model that maps trust issues in the informed consent process; a conceptual framework capable of providing all the necessary underlining technologies, components, and functionalities required to develop applications capable of managing the process of informed consent for AAL, powered by blockchain technology to ensure transparency; and a diagram showing an instantiation of the framework with entities comprising the participants in the blockchain network, suggesting possible technologies that can be used.CONCLUSIONS:
Our conceptual framework provides all the components and technologies that are required to enhance the informed consent process. Blockchain technology can help overcome several privacy challenges and mitigate trust issues that are currently present in the consent management process of data collection involving AAL technologies.Palabras clave
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Actividades Cotidianas
/
Cadena de Bloques
Tipo de estudio:
Prognostic_studies
Límite:
Aged
/
Humans
Idioma:
En
Revista:
J Med Internet Res
Asunto de la revista:
INFORMATICA MEDICA
Año:
2020
Tipo del documento:
Article
País de afiliación:
Canadá