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Value, data risks, regulation of medical big data thinking: Based on epidemic management
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Science & Technology Review | 2020, 38(23) : 31 - 38
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Science & Technology Review | 2020, 38(23): 31-38
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Value, data risks, regulation of medical big data thinking: Based on epidemic management
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WU Heqi
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    School of Law, Shanghai University of Finance and Economics, Shanghai 200433, China
Published: 2020-12-13 doi: 10.3981/j.issn.1000-7857.2020.23.004
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As a national strategy, big data technology aims to benefit all people through the smart medical model. In response to the novel coronavirus pneumonia epidemic, medical big data technology embodies many values:effective scheduling of medical resources, AI medical treatment, prediction of outbreaks, monitoring of outbreaks, trends, etc. However, while big data technology becomes an important technical means in medical field, new problems and challenges in data risks also arise. It has become difficult for regulation design to coordinate conflicts between data protection and data use. This article sorts out the current status of personal medical data regulation, analyzes the shortcomings of data regulation in combination with medical practice, and proposes a construction logic of perfecting China's data regulation by drawing on foreign data regulation, that is, with the overall interests of society being the core, system design is carried out on the premise of balancing interest relationships and data abuse is included in data regulation. Scenario concepts are also introduced to modify consent rules and to promote the formation of data de-identification standards.
medical big data  /  public health emergency  /  data risk  /  legal regulation
WU Heqi. Value, data risks, regulation of medical big data thinking: Based on epidemic management[J]. Science & Technology Review, 2020 , 38 (23) : 31 -38 . DOI: 10.3981/j.issn.1000-7857.2020.23.004
Year 2020 volume 38 Issue 23
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doi: 10.3981/j.issn.1000-7857.2020.23.004
  • Receive Date:2020-04-07
  • Online Date:2021-01-14
  • Published:2020-12-13
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  • Received:2020-04-07
  • Revised:2020-09-12
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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