Medical schools store large sets of patient data. The data is important for the analysis of
trends and patterns in healthcare practice. However, obtaining access to the data can be …

BACKGROUND: To improve health services, social, economic and health data should be
shared and linked to create a full narrative of lived experience. Mental health data sharing is …

Data users (researchers, scientists) in healthcare institutions need access to integrated
healthcare data to conduct timely analysis of diseases to serve the right population at the …

Introduction Healthcare data analytics is a methodological approach to the systematic
analysis of health data, and it provides opportunities for healthcare professionals to improve …

Any given health system needs to increase efficiency and effectiveness up to the point of
requiring a transformation of their current model to ensure their sustainability and continuity …

This article focuses on emotions, conceptualised as emotional labour, evoked during data
practices used to repurpose and enable healthcare data journeys for Finnish public …

The lack of electronic health record data in general and especially at initial phases of
medical research projects is common and is one of the main reasons for delay or failure of …

The healthcare industry generates a high throughput of medical, clinical and omics data of
varying complexity and features. Clinical decision-support is gaining widespread attention …

The main goal of this article is to identify the main dimensions of a model proposal for
increasing the potential of big data research in Healthcare for medical doctors'(MDs') …

Diabetes mellitus is one of the significant risk‐prone diseases in the world. More than
diabetes alone, the consequences caused because of diabetes are entirely unknown to …