Methodology for content analysis of the digital medicine information space

V. Berdutin, T. Romanova
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Abstract

In the near future, global healthcare will undergo fundamental changes associated with digital transformation of medicine, which is supported by numerous innovative technologies. Digitalization of domestic healthcare is currently a priority for its development. It requires medical professionals to have specialized knowledge and a willingness to make the most of the advances in digital medicine. Content analysis of the information space of digital medicine makes it possible to determine people's attitudes by learning the opinions of representatives of various strata of civil society, expressed in the media, and to draw a conclusion about the state of healthcare both in Russia and around the world. In this regard, the methodological support of computer-based content analysis, which must be carried out at the most modern technological level, is of particular interest. It is no coincidence that the purpose of this article is to consider key issues related to the use of innovative approaches and algorithms for assessing the information space of digital medicine.
数字医学信息空间的内容分析方法
在不久的将来,在众多创新技术的支持下,全球医疗保健将经历与医学数字化转型相关的根本性变革。国内医疗数字化是当前发展的重点。它要求医疗专业人员具备专业知识,并愿意充分利用数字医学的进步。通过对数字医疗信息空间的内容分析,可以通过了解民间社会各阶层代表在媒体上表达的意见来确定人们的态度,并得出关于俄罗斯和世界各地医疗保健状况的结论。在这方面,必须在最现代的技术水平上进行的以计算机为基础的内容分析的方法支助特别令人感兴趣。本文的目的是考虑与使用创新方法和算法来评估数字医学信息空间相关的关键问题,这并非巧合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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