1,435 research outputs found
Practices and challenges in clinical data sharing
The debate on data access and privacy is an ongoing one. It is kept alive by
the never-ending changes/upgrades in (i) the shape of the data collected (in
terms of size, diversity, sensitivity and quality), (ii) the laws governing
data sharing, (iii) the amount of free public data available on individuals
(social media, blogs, population-based databases, etc.), as well as (iv) the
available privacy enhancing technologies. This paper identifies current
directions, challenges and best practices in constructing a clinical
data-sharing framework for research purposes. Specifically, we create a
taxonomy for the framework, identify the design choices available within each
taxon, and demonstrate thew choices using current legal frameworks. The purpose
is to devise best practices for the implementation of an effective, safe and
transparent research access framework
A Survey of Multimodal Information Fusion for Smart Healthcare: Mapping the Journey from Data to Wisdom
Multimodal medical data fusion has emerged as a transformative approach in
smart healthcare, enabling a comprehensive understanding of patient health and
personalized treatment plans. In this paper, a journey from data to information
to knowledge to wisdom (DIKW) is explored through multimodal fusion for smart
healthcare. We present a comprehensive review of multimodal medical data fusion
focused on the integration of various data modalities. The review explores
different approaches such as feature selection, rule-based systems, machine
learning, deep learning, and natural language processing, for fusing and
analyzing multimodal data. This paper also highlights the challenges associated
with multimodal fusion in healthcare. By synthesizing the reviewed frameworks
and theories, it proposes a generic framework for multimodal medical data
fusion that aligns with the DIKW model. Moreover, it discusses future
directions related to the four pillars of healthcare: Predictive, Preventive,
Personalized, and Participatory approaches. The components of the comprehensive
survey presented in this paper form the foundation for more successful
implementation of multimodal fusion in smart healthcare. Our findings can guide
researchers and practitioners in leveraging the power of multimodal fusion with
the state-of-the-art approaches to revolutionize healthcare and improve patient
outcomes.Comment: This work has been submitted to the ELSEVIER for possible
publication. Copyright may be transferred without notice, after which this
version may no longer be accessibl
Dwarna : a blockchain solution for dynamic consent in biobanking
Dynamic consent aims to empower research partners and facilitate active participation in the research process. Used within
the context of biobanking, it gives individuals access to information and control to determine how and where their
biospecimens and data should be used. We present Dwarna—a web portal for ‘dynamic consent’ that acts as a hub
connecting the different stakeholders of the Malta Biobank: biobank managers, researchers, research partners, and the
general public. The portal stores research partners’ consent in a blockchain to create an immutable audit trail of research
partners’ consent changes. Dwarna’s structure also presents a solution to the European Union’s General Data Protection
Regulation’s right to erasure—a right that is seemingly incompatible with the blockchain model. Dwarna’s transparent
structure increases trustworthiness in the biobanking process by giving research partners more control over which research
studies they participate in, by facilitating the withdrawal of consent and by making it possible to request that the biospecimen
and associated data are destroyed.peer-reviewe
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