[HTML][HTML] Clinical data reuse or secondary use: current status and potential future progress
Objective: To perform a review of recent research in clinical data reuse or secondary use,
and envision future advances in this field. Methods: The review is based on a large literature …
and envision future advances in this field. Methods: The review is based on a large literature …
Big data from electronic health records for early and late translational cardiovascular research: challenges and potential
Aims Cohorts of millions of people's health records, whole genome sequencing, imaging,
sensor, societal and publicly available data present a rapidly expanding digital trace of …
sensor, societal and publicly available data present a rapidly expanding digital trace of …
DITrust chain: towards blockchain-based trust models for sustainable healthcare IoT systems
Today, internet and device ubiquity are paramount in individual, formal and societal
considerations. Next generation communication technologies, such as Blockchains (BC) …
considerations. Next generation communication technologies, such as Blockchains (BC) …
[HTML][HTML] The learning healthcare system: where are we now? A systematic review
Abstract Background and objective The Learning Healthcare System paradigm has attracted
the attention of researchers worldwide. The great potential originating from high-scale health …
the attention of researchers worldwide. The great potential originating from high-scale health …
[HTML][HTML] Functional requirements for medical data integration into knowledge management environments: requirements elicitation approach based on systematic …
Background In patient care, data are historically generated and stored in heterogeneous
databases that are domain specific and often noninteroperable or isolated. As the amount of …
databases that are domain specific and often noninteroperable or isolated. As the amount of …
An ontology-guided semantic data integration framework to support integrative data analysis of cancer survival
Background Cancer is the second leading cause of death in the United States, exceeded
only by heart disease. Extant cancer survival analyses have primarily focused on individual …
only by heart disease. Extant cancer survival analyses have primarily focused on individual …
Security and interoperability issues with internet of things (IoT) in healthcare industry: A survey
Recently, public healthcare systems become one of the most pivotal parts in our daily life.
Resulting in an insane increase in Medical data like medical images and patient information …
Resulting in an insane increase in Medical data like medical images and patient information …
Translational medicine and patient safety in Europe: TRANSFoRm—architecture for the learning health system in Europe
The Learning Health System (LHS) describes linking routine healthcare systems directly
with both research translation and knowledge translation as an extension of the evidence …
with both research translation and knowledge translation as an extension of the evidence …
Revolutionizing tumor detection and classification in multimodality imaging based on deep learning approaches: Methods, applications and limitations
BACKGROUND: The emergence of deep learning (DL) techniques has revolutionized tumor
detection and classification in medical imaging, with multimodal medical imaging (MMI) …
detection and classification in medical imaging, with multimodal medical imaging (MMI) …
[HTML][HTML] Improving the quality and utility of electronic health record data through ontologies
The translational research community, in general, and the Clinical and Translational
Science Awards (CTSA) community, in particular, share the vision of repurposing EHRs for …
Science Awards (CTSA) community, in particular, share the vision of repurposing EHRs for …