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Digital Technologies for Public Health Services after the COVID-19 Pandemic: A Risk Management Analysis

doi: 10.3390/su15043146
Digitalization has become an important part of human lives that occurs in many fields, ranging from education to labor. Artificial intelligence is one of the most important disruptive technologies, which has produced massive changes in current medical practices, such as MRI, X-ray, and surgeries. AI-based surgeries present lower risks to patients and support medical specialists when it comes to burnout and more challenging operations, which can be more easily performed with the help of robots. The COVID-19 pandemic had a huge impact on healthcare systems due to the large number of patients that overburdened medical healthcare professionals and the medical capacities of hospitals. In this paper, we approach AI-based tools, which have a significant impact on various specializations in medicine under the form of robots, based on an extensive literature review. The research methods consist of a quantitative study conducted on a sample of 50 nurses with the purpose of assessing the awareness of nurses regarding digital technologies used in the medical field, focusing mainly on their capacity to classify digital technological risks that may occur in a public healthcare system. The results show that most of the respondents (62%) are aware of digital applications used in hospitals and are able to classify and manage the risks that may occur. After conducting our research, we found that nurses have a certain degree of reluctance when it comes to the introduction of digital technologies in the medical field.
- Carol Davila University of Medicine and Pharmacy Romania
- Romanian Academy Romania
- Carol Davila University of Medicine and Pharmacy Romania
- Romanian Academy Romania
digital technologies, Environmental effects of industries and plants, healthcare, COVID-19, TJ807-830, TD194-195, risk management, Renewable energy sources, Environmental sciences, public health services, GE1-350
digital technologies, Environmental effects of industries and plants, healthcare, COVID-19, TJ807-830, TD194-195, risk management, Renewable energy sources, Environmental sciences, public health services, GE1-350
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).6 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
