European Hospital and Healthcare Management's recent publication focuses on digital transformation in healthcare, improving patient care coordination, infection control practices, AI's role in healthcare, enhancing patient safety, and solutions for managing healthcare costs, highlighting advancements in European healthcare.
In the world of healthcare where conventional conversations dominate there exists a concealed universe beyond our daily discourse
Digital transformation is the process of using digital technologies to fundamentally change how an organization operates and delivers value to its customers
Clinical care coordination is the process of organising and coordinating healthcare and related services for patients particularly those with complex medical conditions
Inpatient falls pose a significant risk to patient safety and impose a substantial financial burden on healthcare institutions
Sleep disorders encompass a spectrum of conditions disrupting typical sleep patterns the consequences of which extend to ones overall health safety productivity and the quality of life in general
Infection prevention and control IPC is a set of evidencebased practices and procedures that when applied consistently
Choosing the correct setting in pain management suitable to the patient is key to rapid recovery after surgery
With a technological revolution engulfing the world in all domains the healthcare sector has slowly steadily concretely and compellingly joined the bandwagon
Quality and patient safety have always been paramount in healthcare
Artificial intelligence has been incorporating itself into healthcare for years
Over the course of the past two decades healthcare spending as a percentage of GDP has increased from to nearly in OECD countries
A Royal College of Nursing project reported that needlestick accidents occur in the UK every year
The crucial advantage of DRGbased systems is very simple Just the medical output counts and is paid regardless of how much efforts had to be made to achieve it
As a healthcare provider I understand the clinical aspects and the needs of patients
Machine learning ML is already being used in a variety of ways in the healthcare industry including
