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Construction of intelligent medical care and education platform for pregnant, infant and child under the background of fertility friendliness

Zinan Wang, Shichao Han, Li Jiang, Jingyao Li

Abstract


Childbirth is a major matter for both the family and the country. Continuously improving the system related to childbirth, actively
promoting the implementation and refi nement of various policies, allowing women of childbearing age to have peace of mind in raising children
and working, refl ects the care of the Party and the state, and will further promote the healthy and sustainable development of the economy and
society. The National Health Commission and other departments have issued the “Guiding Opinions on Further Improving and Implementing
Active Fertility Support Measures”, making major decisions to gradually adjust and improve fertility policies and promote long-term balanced
population development based on the changing situation of China’s population development. According to research, family members still face
various problems when it comes to “childbirth”: how can novice parents take good care of their children; How can mothers return to the workplace
after maternity leave; Refl ection on resources such as child education and healthcare. In response to the above issues, the idea of building a smart
medical care and education platform for pregnant women, infants, and children has been proposed. The platform aims to build a comprehensive
service platform that integrates resources from multiple fields such as medicine, education, and health management. It utilizes advanced AI
technology and big data analysis to provide pregnant women, infants, and their families with comprehensive, all-round, and personalized health
management and education services. A comprehensive companionship program from pregnancy, maternity, infant care to child growth education
will help alleviate family anxiety about childbirth and contribute to a fertility friendly society.

Keywords


Fertility friendliness; Pregnancy and infant; Smart medical care; Education platform

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References


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DOI: http://dx.doi.org/10.18686/modern-management-forum.v8i6.13239

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