Visualizing the intellectual structure and evolution of electronic health and telemedicine research

BACKGROUND In recent years, the development and application of emerging information technologies, such as artificial intelligence, cloud computing, Internet of Things, and wearable devices, has expanded the content of electronic health (e-health). Electronic health has become a research focus, but few studies have explored its knowledge structure from a global perspective. METHODS To detect the evolution track, knowledge base and research hotspots of e-health, we conducted a series of bibliometric analyses on the retrieved 3,085 papers from the Web of Science core database in 1992-2017. We used several bibliometric tools, such as HistCite, CiteSpace, NetDraw, and NEViewer, to describe the evolution process, time-and-space knowledge map, and hotspots in e-health. RESULTS The research results are as follows. (a) The number of publications has been obviously increasing after 2005 and according to the trend line it is expected to continue increase exponentially in the future. (b) Countries/regions conducting e-health research have close cooperative relationship, among which European countries have the closest cooperation. (c) Electronic health records, mobile health and health information technology are research hotspots in electronic health. Moreover, scholars also pay attention to the hot issues such as privacy, security, and quality improvement. CONCLUSIONS Electronic health is a large and growing field with quite a number of research articles in medical journals. This study provides a comprehensive knowledge structure of electronic health for scholars in the healthcare informatics field, which can help them quickly grasp research hotspots and choose future research projects.

[1]  David W. Bates,et al.  Synthesis of Research Paper: Ten Commandments for Effective Clinical Decision Support: Making the Practice of Evidence-based Medicine a Reality , 2003, J. Am. Medical Informatics Assoc..

[2]  Rami Cohen,et al.  Baby cry detection in domestic environment using deep learning , 2016, 2016 IEEE International Conference on the Science of Electrical Engineering (ICSEE).

[3]  C. Angkurawaranon,et al.  Utilisation of Electronic Health Records for Public Health in Asia: A Review of Success Factors and Potential Challenges , 2019, BioMed research international.

[4]  Nik Bessis,et al.  Exploring the E-science Knowledge Base through Co-citation Analysis , 2013, ANT/SEIT.

[5]  D. Blumenthal,et al.  The "meaningful use" regulation for electronic health records. , 2010, The New England journal of medicine.

[6]  David C. Roberts,et al.  Mapping the Evolution of Scientific Fields , 2009, PloS one.

[7]  Jinho Choi,et al.  Analysis of keyword networks in MIS research and implications for predicting knowledge evolution , 2011, Inf. Manag..

[8]  Jonathan J. H. Zhu,et al.  The divided communities of shared concerns: Mapping the intellectual structure of e-Health research in social science journals , 2015, Int. J. Medical Informatics.

[9]  Katherine W. McCain,et al.  Visualizing a discipline: an author co-citation analysis of information science, 1972–1995 , 1998 .

[10]  Jerry C. Wei,et al.  Impact of eBusiness technologies on operational performance: The role of production information integration in the supply chain , 2007 .

[11]  Andrea Schiffauerova,et al.  How to become an important player in scientific collaboration networks? , 2015, J. Informetrics.

[12]  Marjorie Skubic,et al.  Fall Detection in Homes of Older Adults Using the Microsoft Kinect , 2015, IEEE Journal of Biomedical and Health Informatics.

[13]  Tobias S. Schmidt,et al.  How a Product's Design Hierarchy Shapes the Evolution of Technological Knowledge – Evidence from Patent-Citation Networks in Wind Power , 2014 .

[14]  Changyong Liang,et al.  A case-based reasoning system based on weighted heterogeneous value distance metric for breast cancer diagnosis , 2017, Artif. Intell. Medicine.

[15]  Chaomei Chen,et al.  Web site design with the patron in mind: A step-by-step guide for libraries , 2006 .

[16]  G. Eysenbach What is e-health? , 2001, Journal of Medical Internet Research.

[17]  Waleed M. Sweileh,et al.  Bibliometric analysis of worldwide scientific literature in mobile - health: 2006–2016 , 2017, BMC Medical Informatics and Decision Making.

[18]  Sowmya R. Rao,et al.  Electronic health records in ambulatory care--a national survey of physicians. , 2008, The New England journal of medicine.

[19]  N Ohyama,et al.  Current status of Image Save and Carry (IS&C) standardization. , 1992, Computer methods and programs in biomedicine.

[20]  M. C. Fitzgerald,et al.  eHealth: extending, enhancing, and evolving health care. , 2013, Annual review of biomedical engineering.

[21]  Johan Bollen,et al.  Co-authorship networks in the digital library research community , 2005, Inf. Process. Manag..

[22]  Chao Hu,et al.  The "Small-World" Characteristic of Author Co-Words Network , 2007, 2007 International Conference on Wireless Communications, Networking and Mobile Computing.

[23]  Amy K. Yarbrough,et al.  Technology Acceptance among Physicians , 2007, Medical care research and review : MCRR.

[24]  Changyong Liang,et al.  Visualizing Knowledge Evolution of Emerging Information Technologies in Chronic Diseases Research , 2018, ICSH.

[25]  Concepción S. Wilson,et al.  The Literature of Bibliometrics, Scientometrics, and Informetrics , 2001, Scientometrics.

[26]  Adolfo Rubinstein,et al.  The impact of mobile health interventions on chronic disease outcomes in developing countries: a systematic review. , 2014, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[27]  C. Vandelanotte,et al.  Examining Participant Engagement in an Information Technology-Based Physical Activity and Nutrition Intervention for Men: The Manup Randomized Controlled Trial , 2014, JMIR research protocols.

[28]  Kaija Saranto,et al.  Definition, structure, content, use and impacts of electronic health records: A review of the research literature , 2008, Int. J. Medical Informatics.

[29]  Usman Iqbal,et al.  Trends in the growth of literature of telemedicine: A bibliometric analysis , 2015, Comput. Methods Programs Biomed..

[30]  Henry G. Small,et al.  Co-citation in the scientific literature: A new measure of the relationship between two documents , 1973, J. Am. Soc. Inf. Sci..

[31]  Syed Muhammad Anwar,et al.  A statistical analysis based recommender model for heart disease patients , 2017, Int. J. Medical Informatics.

[32]  Wei Lu,et al.  Analyzing evolution of research topics with NEViewer: a new method based on dynamic co-word networks , 2014, Scientometrics.

[33]  Michele Domenichiello,et al.  State of The Art in Adoption of E-Health Services in Italy in The Context of European Union E-Government Strategies , 2015 .

[34]  Gobinda G. Chowdhury,et al.  Bibliometric cartography of information retrieval research by using co-word analysis , 2001, Inf. Process. Manag..

[35]  Zahra Emami,et al.  Mapping diabetes research in Middle Eastern countries during 2007-2013: A scientometric analysis , 2018, Medical journal of the Islamic Republic of Iran.

[36]  Catharina G. M. Groothuis-Oudshoorn,et al.  Evaluation of three machine learning models for self-referral decision support on low back pain in primary care , 2018, Int. J. Medical Informatics.

[37]  R. Wootton,et al.  Telemedicine, telehealth or e-health? A bibliometric analysis of the trends in the use of these terms , 2012, Journal of telemedicine and telecare.

[38]  Chao-Chan Wu,et al.  Examining the trends of technological development in hydrogen energy using patent co-word map analysis , 2014 .

[39]  Jodi G. Daniel,et al.  A national action plan to support consumer engagement via e-health. , 2013, Health affairs.

[40]  Anneke L Francke,et al.  Determinants of the intention to use e-Health by community dwelling older people , 2015, BMC Health Services Research.

[41]  Ali Sunyaev,et al.  Availability and quality of mobile health app privacy policies , 2015, J. Am. Medical Informatics Assoc..

[42]  Sisira Edirippulige,et al.  Telemedicine - A bibliometric and content analysis of 17, 932 publication records , 2014, Int. J. Medical Informatics.

[43]  Aniruddha S. Gokhale,et al.  Efficient Autoscaling in the Cloud Using Predictive Models for Workload Forecasting , 2011, 2011 IEEE 4th International Conference on Cloud Computing.

[44]  L. Smeeth,et al.  Validation of the Recording of Acute Exacerbations of COPD in UK Primary Care Electronic Healthcare Records , 2016, PloS one.

[45]  Chaomei Chen,et al.  CiteSpace II: Visualization and Knowledge Discovery in Bibliographic Databases , 2005, AMIA.

[46]  Changyong Liang,et al.  Visualizing the knowledge structure and evolution of big data research in healthcare informatics , 2017, Int. J. Medical Informatics.

[47]  Julia Adler-Milstein,et al.  Electronic health record adoption in US hospitals: the emergence of a digital “advanced use” divide , 2017, J. Am. Medical Informatics Assoc..

[48]  P. Hiane,et al.  A knowledge network to promote the use and valorization of wild food plants in the Pantanal and Cerrado, Brazil , 2017, Regional Environmental Change.

[49]  Charlotte A. Weaver,et al.  Enhancing patient safety and quality of care by improving the usability of electronic health record systems: recommendations from AMIA. , 2013, Journal of the American Medical Informatics Association : JAMIA.