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Through the use of virtual reality, nursing students are given the opportunity to learn in a patient care scenario without the pressure of mistakes, unsafe consequences or placing the patient in danger. [2] With patient safety being the cornerstone of nursing, it is important that nursing students are taught with this principle in mind. Through ...
Furthermore, virtual patients can be endlessly replayed and easily modified to allow the user to explore different clinical scenarios and patient outcomes. [8] [10] Compared to simulated patients, virtual patients make observation and assessment more robust and easier to control, and they can be used as a standardized assessment method. [11]
Other applications of home care are the care of patients in immediate post-surgical situations, the care of wounds, ostomies or disabled individuals. In normal home health care, one nurse is able to visit up to 5-7 patients per day. Using telenursing, one nurse can “visit” 12-16 patients in the same amount of time.
An early type of virtual ward was developed by many teams across England, for example, in Croydon Primary Care Trust (South London).. The Croydon project won in four categories of the 2006 Health Service Journal Awards (the "UK's Biggest Awards in Healthcare") namely Primary Care Innovation, Patient-Centred Care, Information-Based Decision Making, and Clinical Service Redesign.
During the COVID-19 pandemic, Remote Patient Monitoring has been used extensively and allowed for more fields such as psychology or cardiology to use virtual care. By 2025, the Remote Patient Monitoring industry is expected to double, due to factors such as the COVID-19 pandemic and increased at-home care. [12]
Telehealth is the distribution of health-related services and information via electronic information and telecommunication technologies. [1] It allows long-distance patient and clinician contact, care, advice, reminders, education, intervention, monitoring, and remote admissions.
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Primary care has become one key development area for AI technologies. [98] [99] AI in primary care has been used for supporting decision making, predictive modeling, and business analytics. [100] There are only a few examples of AI decision support systems that were prospectively assessed on clinical efficacy when used in practice by physicians.
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