The rise of the Corona pandemic came at a time when the role of information technology and computer technology was escalating, and the ranks of companies and information institutions projects, research and products rose to the top of the global pyramid in capabilities, influence and economic and scientific role.
Before the onset of the pandemic, information products and computers of all sizes, capabilities and scope of work rushed against time to provide solutions and initiatives in the field of healthcare, so it was necessary to present what it was in the fight against the pandemic. and its various consequences and to exploit its enormous potential to seize the historical moment.
The urgent nature of the pandemic, with reservations about movement, travel and encounters between people, has led to the expansion of the use of non-traditional methods of data collection and sharing and the acceleration of the extraction of urgent results and the dissemination of information about the pandemic necessitated. and their distribution, medicines and their efficacy, vaccines and symptoms, and for these considerations and with the scope of the available data With rapid and intense growth, the expansion of the use of data science technology, big data, artificial intelligence, communication infrastructure and information technology was necessary and effective in the scientific achievements achieved over the past two years to achieve basic goals to limit, stop and control the epidemic.
The information war between the multiple and different orientations was an important weapon to gain the trust of the public, mobilize supporters, isolate skeptics and convince the reluctant It required accurate and fast information, and it is a dilemma in itself .
The reliance on modern technologies in the field of disseminating information and statistics on the epidemic, its rapid presentation and analysis, has been accompanied by the declaration of the World Health Organization, the outbreak of the pandemic and its worldwide recognition. The use of mobile applications has been expanded to collect and share data and send alerts and early warnings of the pandemic to monitor, identify and besiege hot areas, and then organize the distribution of vaccines.
In addition to organized research data, medical records, and geographic data, some applications have benefited from the data of social media platforms, search engines, and news reports in leading early warning systems and providing decision-making issues with the available information and efforts to dispel the rumors, to overcome lies, rumors and misinformation that disturbs this data. Then reliable source regular data was combined with data that was not systematic in terms of design and unspecified source in order to feed smart algorithms in building and updating mathematical models of the evolution of the pandemic, estimating the effectiveness of controls, treatments and vaccines, and predicting the evolution of the spatial-temporal distribution of the pandemic using those models.
Scientific studies and academic research related to computer science, artificial intelligence and big data have tried to keep up with conditions and data to provide solutions, recommendations, applications and mathematical models according to the progress of the pandemic and the requirements to combat it . The value of the risk and its prediction, and others aimed at contributing to the support of decision-making and the choice of procedures according to some classifications.
The information war between the multiple and different orientations represented an important weapon to gain the trust of the public, mobilize supporters, isolate the skeptics and convince the reluctant Balancing is on the fine line that combines these paradoxes, and here the confidence in computers’ speed and accuracy increases to extend a helping hand to the researcher, practitioner and decision maker when the risk is needed, and the balance between bad and worse is urgent and urgent, and there is no room for perseverance and patience.
Reality says that the separation between the health system, practice and research is no longer isolated from information technology and computers. In diagnosis and treatment, the mixing and integration of information and health care has become a permanent process developed through training, work structuring, and the creating sites and jobs that contribute to achieving integration and merging between what is medicine, pharmacy, nursing and nutrition, and what is information, computers, systems and applications.
The standards of the healthcare system after Corona are not the same as before Corona, and the core of this transformation is technologies and data science, computerized big data and artificial intelligence integrated with all stages of healthcare and its operations, an era after which we are slowly walked, but we pushed there voluntarily and reluctantly.