Visualizationforbibliometricanalysis of current status in research field of digital health and digital medicine
10.3969/j.issn.1672-8270.2025.03.020
- VernacularTitle:数字健康和数字医疗的文献计量学可视化分析
- Author:
Xinyi FANG
1
;
Han YU
;
Anwei LIU
;
Yining LUO
;
Lei CUI
Author Information
1. 中国医科大学健康管理学院 沈阳 110122
- Publication Type:Journal Article
- Keywords:
Digital health;
Digital medicine;
Double clusteringanalysis;
Bibliometric
- From:
China Medical Equipment
2025;22(3):108-114
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze the current status of the research in two emerging fields-digital health and digital medicine,and the distinctions and interconnections between them,and to explore critical cognitionfor benign development of this field.Methods:Based on bibliometric method,this study analyzed 1 747 papers published in two Q1 journals categorized under"medical informatics"in Chinese Academy of Sciences Journal Citation Reports between January 1st,2019,and June 30th,2024.A biclustering analysis of highly cited and source article was conducted using a"co-cited literature clustering and all articles citing this cluster"approach.Results:In 1 747 literature,a total of 28 classic high cited articles in digital medicinejournals and digital health journals were screened out afterthe literatures of irrelevant citations were deleted,and then,they were further analyzed.The clustering performancesof similar clusters for high cited articles of two kinds of journals were similar,and the difference of intra-cluster similarity(Isim)between them was not statistically significant(P>0.05).The inter-cluster similarity(Esim)of digital health journal was 0.0480,which was significantly higher than that of digital health journal,and the difference of that between them wasstatistically significant(t=-3.925,P<0.05).The clustering result of digital medicine was better,which whole research direction could be divided into deep learning-based ophthalmic medical image analysis,image recognition with artificial intelligence(AI),algorithm model of using AI,reporting standard and assessment method of digital medicine and scientific research by using AI.However,the contents of high cited literatures of digital health field had a lot of overlap with digital medicine field,and various clusters of literature have inconsistent themesafter these literatures were clustered.Conclusions:Research of digital medicine is tending towards two primary directions:specific application of AI,and theimprovement of digital medical standards and processes.Meanwhile,the articles and literatures with high quality in digital health still cannot divorce the medical field,and the discipline system still is immature.
