{"title":"医学信息学和电子健康记录中的数据隐私：文献计量学分析。","authors":"Kemal Hakan Gulkesen, Esra Tokur Sonuvar","doi":"10.1007/s10728-025-00519-0","DOIUrl":null,"url":null,"abstract":"<p><p>This study aims to evaluate scientific publications on \"Medical Informatics\" and \"Data Privacy\" using a bibliometric approach to identify research trends, the most studied topics, and the countries and institutions with the highest publication output. The search was carried out utilizing the WoS Clarivate Analytics tool across SCIE journals. Subsequently, text mining, keyword clustering, and data visualization were applied through the use of VOSviewer and Tableau Desktop software. Between 1975 and 2023, a total of 7,165 articles were published on the topic of data privacy. The number of articles has been increasing each year. The text mining and clustering analysis identified eight main clusters in the literature: (1) Mobile Health/Telemedicine/IOT, (2) Security/Encryption/Authentication, (3) Big Data/AI/Data Science, (4) Anonymization/Digital Phenotyping, (5) Genomics/Biobank, (6) Ethics, (7) Legal Issues, (8) Cloud Computing. On a country basis, the United States was identified as the most active country in this field, producing the most publications and receiving the highest number of citations. China, the United Kingdom, Canada, and Australia also emerged as significant countries. Among these clusters, \"Mobile Health/Telemedicine/IOT,\" \"Security/Encryption/Authentication,\" and \"Cloud Computing\" technologies stood out as the most prominent and extensively studied topics in the intersection of medical informatics and data privacy.</p>","PeriodicalId":46740,"journal":{"name":"Health Care Analysis","volume":" ","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Data Privacy in Medical Informatics and Electronic Health Records: A Bibliometric Analysis.\",\"authors\":\"Kemal Hakan Gulkesen, Esra Tokur Sonuvar\",\"doi\":\"10.1007/s10728-025-00519-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This study aims to evaluate scientific publications on \\\"Medical Informatics\\\" and \\\"Data Privacy\\\" using a bibliometric approach to identify research trends, the most studied topics, and the countries and institutions with the highest publication output. The search was carried out utilizing the WoS Clarivate Analytics tool across SCIE journals. Subsequently, text mining, keyword clustering, and data visualization were applied through the use of VOSviewer and Tableau Desktop software. Between 1975 and 2023, a total of 7,165 articles were published on the topic of data privacy. The number of articles has been increasing each year. The text mining and clustering analysis identified eight main clusters in the literature: (1) Mobile Health/Telemedicine/IOT, (2) Security/Encryption/Authentication, (3) Big Data/AI/Data Science, (4) Anonymization/Digital Phenotyping, (5) Genomics/Biobank, (6) Ethics, (7) Legal Issues, (8) Cloud Computing. On a country basis, the United States was identified as the most active country in this field, producing the most publications and receiving the highest number of citations. China, the United Kingdom, Canada, and Australia also emerged as significant countries. Among these clusters, \\\"Mobile Health/Telemedicine/IOT,\\\" \\\"Security/Encryption/Authentication,\\\" and \\\"Cloud Computing\\\" technologies stood out as the most prominent and extensively studied topics in the intersection of medical informatics and data privacy.</p>\",\"PeriodicalId\":46740,\"journal\":{\"name\":\"Health Care Analysis\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2025-05-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Health Care Analysis\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s10728-025-00519-0\",\"RegionNum\":3,\"RegionCategory\":\"哲学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ETHICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Care Analysis","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s10728-025-00519-0","RegionNum":3,"RegionCategory":"哲学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ETHICS","Score":null,"Total":0}
Data Privacy in Medical Informatics and Electronic Health Records: A Bibliometric Analysis.
This study aims to evaluate scientific publications on "Medical Informatics" and "Data Privacy" using a bibliometric approach to identify research trends, the most studied topics, and the countries and institutions with the highest publication output. The search was carried out utilizing the WoS Clarivate Analytics tool across SCIE journals. Subsequently, text mining, keyword clustering, and data visualization were applied through the use of VOSviewer and Tableau Desktop software. Between 1975 and 2023, a total of 7,165 articles were published on the topic of data privacy. The number of articles has been increasing each year. The text mining and clustering analysis identified eight main clusters in the literature: (1) Mobile Health/Telemedicine/IOT, (2) Security/Encryption/Authentication, (3) Big Data/AI/Data Science, (4) Anonymization/Digital Phenotyping, (5) Genomics/Biobank, (6) Ethics, (7) Legal Issues, (8) Cloud Computing. On a country basis, the United States was identified as the most active country in this field, producing the most publications and receiving the highest number of citations. China, the United Kingdom, Canada, and Australia also emerged as significant countries. Among these clusters, "Mobile Health/Telemedicine/IOT," "Security/Encryption/Authentication," and "Cloud Computing" technologies stood out as the most prominent and extensively studied topics in the intersection of medical informatics and data privacy.
期刊介绍：
Health Care Analysis is a journal that promotes dialogue and debate about conceptual and normative issues related to health and health care, including health systems, healthcare provision, health law, public policy and health, professional health practice, health services organization and decision-making, and health-related education at all levels of clinical medicine, public health and global health. Health Care Analysis seeks to support the conversation between philosophy and policy, in particular illustrating the importance of conceptual and normative analysis to health policy, practice and research. As such, papers accepted for publication are likely to analyse philosophical questions related to health, health care or health policy that focus on one or more of the following: aims or ends, theories, frameworks, concepts, principles, values or ideology. All styles of theoretical analysis are welcome providing that they illuminate conceptual or normative issues and encourage debate between those interested in health, philosophy and policy. Papers must be rigorous, but should strive for accessibility – with care being taken to ensure that their arguments and implications are plain to a broad academic and international audience. In addition to purely theoretical papers, papers grounded in empirical research or case-studies are very welcome so long as they explore the conceptual or normative implications of such work. Authors are encouraged, where possible, to have regard to the social contexts of the issues they are discussing, and all authors should ensure that they indicate the ‘real world’ implications of their work. Health Care Analysis publishes contributions from philosophers, lawyers, social scientists, healthcare educators, healthcare professionals and administrators, and other health-related academics and policy analysts.
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