Search results
Results From The WOW.Com Content Network
Telenursing refers to the use of information technology in the provision of nursing services whenever physical distance exists between patient and nurse, or between any number of nurses. As a field, it is part of telemedicine , and has many points of contacts with other medical and non-medical applications, such as telediagnosis ...
This is a list of notable academic journals about nursing.. AACN Advanced Critical Care; AACN Nursing Scan in Critical Care; Advances in Neonatal Care; American Journal of Critical Care
Fall prevention includes any action taken to help reduce the number of accidental falls suffered by susceptible individuals, such as the elderly and people with neurological (Parkinson's, Multiple sclerosis, stroke survivors, Guillain-Barre, traumatic brain injury, incomplete spinal cord injury) or orthopedic (lower limb or spinal column fractures or arthritis, post-surgery, joint replacement ...
Fall prevention is usually a priority in healthcare settings. [7] A 2006 review of literature identified the need for standardization of falls taxonomy due to the variation within research. [8] The Prevention of Falls Network Europe (ProFane) taxonomy for the definition and reporting of falls aimed at mitigating this problem. [9]
A standardized, modular technology system that allows a hospital, clinic, or health system to record their Incidents, including falls, medication errors, pressure ulcers, near misses, etc. These systems can be configured to specific workflows, and the analytics behind them will allow for reporting and dashboards to help learn from things that ...
Long-term exercise appears to decrease the rate of falls in older people. [5] Rates of falls in hospital can be reduced with a number of interventions together by 0.72 from baseline in the elderly. [28] In nursing homes, fall prevention programs that involve a number of interventions prevent recurrent falls. [29]
Artificial intelligence utilises massive amounts of data to help with predicting illness, prevention, and diagnosis, as well as patient monitoring. In obstetrics, artificial intelligence is utilized in magnetic resonance imaging, ultrasound, and foetal cardiotocography. AI contributes in the resolution of a variety of obstetrical diagnostic issues.
The model was developed by Dr. Kathleen Stevens at the Academic Center for Evidence-Based Practice located at the University of Texas Health Science Center at San Antonio. [3] The model has been represented in many nursing textbooks , used as part of an intervention to increase EBP competencies, and as a framework for instruments measuring EBP ...