Background: The exploitation of synthetic data in health care is at an early stage. Synthetic
data could unlock the potential within health care datasets that are too sensitive for release …

Background: Integrated data repositories (IDRs), also referred to as clinical data
warehouses, are platforms used for the integration of several data sources through …

With the rapid spread of the COVID-19 pandemic, the novel Meaningful Integration of Data
Analytics and Services (MIDAS) platform quickly demonstrates its value, relevance and …

Abstract Analytical Big Data is a term that is used to store huge data in single unit under one
name. Analytical Big Data describes the structure as well as the data used on daily basis. In …

Background: Cardiovascular disease causes approximately half of all deaths in patients with
type 2 diabetes. Duplicative prescriptions of medication in patients with high blood pressure …

Motivation In the age of big data, the amount of scientific information available online dwarfs
the ability of current tools to support researchers in locating and securing access to the …

Background Healthcare data is a rich yet underutilized resource due to its disconnected,
heterogeneous nature. A means of connecting healthcare data and integrating it with …

Methods: Efficient use of databases, data banks, and document-oriented storage
(warehouses data), including dual-purpose databases, enables performing specific actions …

Addressing the difficulty of accessing patient data is key to advancing healthcare innovation.
Consequently, healthcare organizations like Philips and the Eindhoven Medtech Innovation …