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智能数据分析技术在医药企业数字化转型中的应用

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文章主要探讨智能数据分析技术在推动医药企业数字化转型中所起到的作用,分析医药企业数字化面临的客户数据复杂、依赖人工分析效率低下等困境.同时,介绍智能算法和深度学习等技术,以及它们在处理医疗数据、构建用户画像、产品推荐和安全预警等方面的应用.通过多个具体场景展示这些技术在公众情感监测、精准医药营销和药品不良反应预警等方面的应用效果.研究表明,智能数据分析技术是推动医药企业数字化转型的重要技术支撑.
The Role of Intelligent Data Analysis in Promoting the Digital Transformation of Pharmaceutical Marketing is Discussed
This paper discusses the role of intelligent data analysis technology in promoting the digital transformation of pharmaceutical enterprises,and analyzes the difficulties faced by pharmaceutical enterprises,such as complex customer data and low efficiency of relying on manual analysis.It introduces technologies such as intelligent algorithms and deep learning,as well as their applications in processing medical data,building user profiles,product recommendations,and security warnings.Several specific scenarios demonstrate the effect of these technologies to achieve public emotional monitoring,precision medicine marketing and adverse drug reaction warning.The research shows that intelligent data analysis is an important technical support to promote the digital transformation of pharmaceutical enterprises.

intelligent data analysispharmaceutical marketingdigital transformation

孙炜

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国药集团药业股份有限公司,北京 100010

智能数据分析 医药营销 数字化转型

2024

信息与电脑
北京电子控股有限责任公司

信息与电脑

影响因子:1.143
ISSN:1003-9767
年,卷(期):2024.36(2)
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