[1]CHU Dianhui,WU Jun,LIU Zhizhong,et al.Research on key technologies and applications of intelligent medical and care integration service platform[J].CAAI Transactions on Intelligent Systems,2021,16(5):972-988.[doi:10.11992/tis.202103022]
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CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
16
Number of periods:
2021 5
Page number:
972-988
Column:
吴文俊人工智能科技进步奖一等奖
Public date:
2021-09-05
- Title:
-
Research on key technologies and applications of intelligent medical and care integration service platform
- Author(s):
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CHU Dianhui1; WU Jun2; LIU Zhizhong3; TU Zhiying1; HU Xin1; LI Chunshan1; SU Huan1; XIA Yong1; GAO Xiyu2
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1. School of Computer Science and Technology, Harbin Institute of Technology(Weihai), Weihai 264209, China;
2. Shandong Zhongyang Health Technology Group Co., Ltd, Jinan 250101, China;
3. School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo 454003, China
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- Keywords:
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medical health; intelligent old-age care; services match; medical and care big data; intelligent diagnosis; diagnosis and treatment robot; medical and care service platform
- CLC:
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TP183
- DOI:
-
10.11992/tis.202103022
- Abstract:
-
Recently, there are some problems in China’s medical health and pension service industry, such as unbalanced resource structure, low level of intelligent medical and pension services and difficulty in cross domain collaboration. At the same time, there is a lack of information system and mechanism to deal with major epidemic and public health emergencies. Based on the new generation of information technology such as big data, artificial intelligence and service computing, through the innovation of key technologies such as service mode, service matching, intelligent diagnosis and treatment service and auxiliary diagnosis robot, through the deep intelligence coordination of “Internet plus medical health” and “Internet plus pension” service system, we has realized the deep integration of medical health and pension services, it solves the challenges of integration of medical and nursing service resources, governance of multi-source, whole process and whole cycle intelligent auxiliary diagnosis and treatment, and supply of medical and nursing integrated services.