INTRODUCTION The increasing spread of software components in the healthcare context renders explanatory guides relevant and mandatory to interpret laws and standards, and to support safe management of software products in healthcare. METHODOLOGY In 2012 a working group has been settled for the above purposes at Italian Electrotechnical Committee (CEI), made of experts from Italian National In...

Pierre-Gerlier Forest has put forward the case that we are on the brink of a revolution in health policy that will be the result of the interplay of five factors. I would not challenge any of them but would emphasize the need to address socio-economic health inequalities, which have the potential to become a major cost driver in a time of growing economic inequality. To Dr. Forest's list, I wou...

OBJECTIVE The objective of this systematic literature review was to identify evidence-based strategies associated with effective healthcare interventions for prevention or treatment of childhood obesity in Latin America. MATERIALS AND METHODS A systematic review of peer-reviewed, obesity-related interventions implemented in the healthcare setting was conducted. Inclusion criteria included: im...

OBJECTIVES Congenital anomaly (CA) are a leading cause of disease, death and disability for children throughout the world. Many have complex and varying healthcare needs which are not well understood. Our aim was to analyse the healthcare needs of children with CA and examine how that healthcare is delivered. DESIGN Secondary analysis of observational data from the Born in Bradford study, a l...

There appears to be a fundamental inconsistency between research which shows that some minority groups consistently receive lower quality healthcare and the literature indicating that healthcare workers appear to hold equality as a core personal value. Recent evidence using Implicit Association Tests suggests that these disparities in outcome may in part be due to social biases that are primari...

Artificial intelligence (AI) aims to mimic human cognitive functions. It is bringing a paradigm shift to healthcare, powered by increasing availability of healthcare data and rapid progress of analytics techniques. We survey the current status of AI applications in healthcare and discuss its future. AI can be applied to various types of healthcare data (structured and unstructured). Popular AI ...

Discrete choice experiments (DCEs) are increasingly used for studying and quantifying subjects preferences in a wide variety of healthcare applications. They provide a rich source of data to assess real-life decision-making processes, which involve trade-offs between desirable characteristics pertaining to health and healthcare and identification of key attributes affecting healthcare. The choi...

Online physician reviews are a massive and potentially rich source of information capturing patient sentiment regarding healthcare. We analyze a corpus comprising nearly 60,000 such reviews with a state-of-the-art probabilistic model of text. We describe a probabilistic generative model that captures latent sentiment across aspects of care (eg, interpersonal manner). We target specific aspects ...