- Technology and artificial intelligence, through “data science,” enable data analysis and processing, providing greater ease for health planning, epidemiological monitoring, and more.
January 22, Santiago, Chile-. Controlling the epidemic, health planning, building hospitals, and maintaining and protecting data privacy are part of what technology and artificial intelligence can do thanks to data science. Increasing efficiency in creating strategies, controlling expenses, and identifying disease patterns are part of the solutions offered by this interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract greater knowledge and understanding from data in its various forms.
SoftServe, an international technology and software development company, was part of the first discussion on data science and public health, organized by the University of Chile, where talks and exhibitions were held on the above topics.
“Today it is important to have an approach through which public health decisions are made. Data technologies and data science allow us to respond in a timely manner to health challenges, such as waiting lists, knowing where to build hospitals, where certain medical specialties should be encouraged, among other things. Technology today allows us to be more proactive about this.” Rodrigo Asar, chief data scientist at SoftServe Chile, mentions.
The confidentiality of personal data is something that cannot be ignored. Data science, through its technology, allows data to be protected while analysis is performed to achieve improvements, either to find out where more specialists in a particular subject are needed or where more hospitals are needed.
“Although Chile is ahead in Latin America in this regard, we are lagging behind internationally. There must be a good balance between data protection and data analysis, in order to improve health systems and public health systems. There are techniques applicable in these cases, Through software and algorithms, we must start using them in our country.” “Succulent speaks.
An example of the contribution that data science makes to health is what happened during the COVID-19 pandemic, where technology helped keep the number of infections occurring day by day, and the areas where there are more active cases, on their toes. To monitor new symptoms and the ages of people who have been infected.
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