Challenges of Utilizing Medical Big Data in Reproductive Health Research

In the background of the “Three-Child Policy” introduced by the Chinese government, reproductive health has become one of the most important public health issues. With the promotion of digitization management of medical care institutions for women and children in the country, there will be chances t...

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Detalles Bibliográficos
Autores principales: Dong, Tianyu, Zhu, Min, Li, Rui, Wang, Xu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Reproductive Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9580750/
https://www.ncbi.nlm.nih.gov/pubmed/36303614
http://dx.doi.org/10.3389/frph.2022.800760
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author Dong, Tianyu
Zhu, Min
Li, Rui
Wang, Xu
author_facet Dong, Tianyu
Zhu, Min
Li, Rui
Wang, Xu
author_sort Dong, Tianyu
collection PubMed
description In the background of the “Three-Child Policy” introduced by the Chinese government, reproductive health has become one of the most important public health issues. With the promotion of digitization management of medical care institutions for women and children in the country, there will be chances to acquire medical big data of obstetrics and pediatrics. Here the authors are presenting their opinions on the challenges of the management and utilization of reproductive big data.
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spelling pubmed-95807502022-10-26 Challenges of Utilizing Medical Big Data in Reproductive Health Research Dong, Tianyu Zhu, Min Li, Rui Wang, Xu Front Reprod Health Reproductive Health In the background of the “Three-Child Policy” introduced by the Chinese government, reproductive health has become one of the most important public health issues. With the promotion of digitization management of medical care institutions for women and children in the country, there will be chances to acquire medical big data of obstetrics and pediatrics. Here the authors are presenting their opinions on the challenges of the management and utilization of reproductive big data. Frontiers Media S.A. 2022-03-16 /pmc/articles/PMC9580750/ /pubmed/36303614 http://dx.doi.org/10.3389/frph.2022.800760 Text en Copyright © 2022 Dong, Zhu, Li and Wang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Reproductive Health
Dong, Tianyu
Zhu, Min
Li, Rui
Wang, Xu
Challenges of Utilizing Medical Big Data in Reproductive Health Research
title Challenges of Utilizing Medical Big Data in Reproductive Health Research
title_full Challenges of Utilizing Medical Big Data in Reproductive Health Research
title_fullStr Challenges of Utilizing Medical Big Data in Reproductive Health Research
title_full_unstemmed Challenges of Utilizing Medical Big Data in Reproductive Health Research
title_short Challenges of Utilizing Medical Big Data in Reproductive Health Research
title_sort challenges of utilizing medical big data in reproductive health research
topic Reproductive Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9580750/
https://www.ncbi.nlm.nih.gov/pubmed/36303614
http://dx.doi.org/10.3389/frph.2022.800760
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AT zhumin challengesofutilizingmedicalbigdatainreproductivehealthresearch
AT lirui challengesofutilizingmedicalbigdatainreproductivehealthresearch
AT wangxu challengesofutilizingmedicalbigdatainreproductivehealthresearch

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