Nursing, Healthcare & Patient Safety Conference
14th International Nursing, Healthcare & Patient Safety Conference
Acute Care Acute care refers to the amount of medical care provided to a patient during their recovery from surgery, for diseases resulting from disease or trauma, and for a brief but severe episode of illness. What is considered acute care? Acute care is a subspecialty of secondary healthcare in which patients are treated actively …
Hospitals Hospital: a facility designed, manned, and furnished to diagnose illnesses, treat patients with medical and surgical procedures, and house patients while these procedures are being performed. The modern hospital frequently doubles as a research and teaching hub. hospital. A hospital is a vital and essential component of the system used to offer healthcare. This …
Critical care Nursing Medical care for patients with illnesses or injuries that pose a serious risk to life is known as critical care. Usually, an intensive care unit (ICU) hosts it. You get round-the-clock care from a group of medical professionals with specialized training. This includes keeping an ongoing eye on vital signs with machines. …
Emergency Nursing Within the realm of professional nursing, emergency nursing is a specialization that focuses on providing patients with immediate medical assistance in order to prevent permanent damage or death. Not only do emergency nurses handle “true emergencies,” but they also tend to patients who come to emergency rooms because they are unable or unwilling …
Inpatient Care A person who is admitted to the hospital for medical care is referred to as a “inpatient.” Most individuals are admitted to the hospital as inpatients either as part of an emergency or as a prearranged procedure or therapy. Whether overnight stays are short-term or long-term, inpatient care necessitates them. Patients whose condition …
Machine Learning for Digital Healthcare Innovation A subfield of artificial intelligence (AI) and computer science called machine learning focuses on using data and algorithms to simulate how humans learn, gradually increasing the accuracy of the system. IBM has a long history with artificial intelligence. With his research on the game of checkers, one of its own, Arthur Samuel, is credited …
Biomedical Signal Analysis with Machine Intelligence One area of interest for researchers among the many uses of machine learning in biomedical engineering is its application in biomedical signal processing, which involves extracting, analysing, and classifying different signals or images for diagnostic reasons. The majority of the time, nonlinear and changing environments are used to obtain …
AI in Assisted Reproductive Treatments Every aspect of medicine is gradually incorporating artificial intelligence. In reproductive medicine, artificial intelligence approaches can be utilized to improve the selection and prediction of sperm cells, oocytes, and embryos and to build better predictive models for in vitro fertilisation. What is AI in assisted reproductive technology? AI offers a …
AI in Healthcare The goal of artificial intelligence (AI) in healthcare is to examine how clinical data and patient outcomes are related. AI can assist medical practitioners in providing more precise diagnosis and treatment recommendations. It can also help healthcare become more predictive and proactive by analyzing big data to produce enhanced preventative care suggestions …
Critical care, Trauma and Emergency Medicine Trauma care is given to patients in trauma centers. The victims of severe trauma are usually accident victims as opposed to a direct medical condition. Trauma care is a sort of subset of critical care. Emergency medicine deals with immediate life-threatening injuries and medical conditions. Critical care medicine is …