Background The governance of health systems is complex in nature due to several
intertwined and multi-dimensional factors contributing to it. Recent challenges of health …

Objective To synthesize existing knowledge on the features of, and approaches to, health
intelligence, including definitions, key concepts, frameworks, methods and tools, types of …

In contemporary society people constantly are facing situations that influence appearance of
serious diseases. For the development of intelligent decision support systems and services …

Aim: The aim of the CrowdHEALTH approach, is to introduce a new paradigm of Holistic
Health Records (HHRs) that include all health determinants defining health status by using …

A distinctive aspect of the current era is the ferocious amount of data that is generated and
processed in a daily basis. There is no wonder that this epoch is generally characterized as …

Abstract Knowledge translation (KT) is increasingly acknowledged to have the potential to
improve policy-making. The value of health information (HI), as part of the KT context, is now …

Background Policymakers require precise and in-time information to make informed
decisions in complex environments such as health systems. Artificial intelligence (AI) is a …

Scientific and clinical research have advanced the ability of healthcare professionals to
more precisely define diseases and classify patients into different groups based on their …

Aim: One of the CrowdHEALTH project's objectives is the transition from patient health
records towards the Holistic Health Records (HHRs) and Social HHR. The CrowdHEALTH …

Nowadays, more and more people suffer from serious diseases and doctors and patients
need sophisticated medical and health support. Accordingly, prominent health stakeholders …