Visualization of e-Health Research Topics and Current Trends Using Social Network Analysis.

BACKGROUND E-health has been grown rapidly with significant impact on quality and safety of healthcare. However, there is a large gap between the postulated and empirically demonstrated benefits of e-health technologies and a need for a clearer mapping of its conceptual domains. Therefore, this study aimed to critically review the main research topics and trends of international e-health through social network analysis. MATERIALS AND METHODS Medical subject heading terms were used to retrieve 3,023 research articles published from 1979 through 2014 in the PubMed database. We extracted n-grams from the corpus using a text analysis program, generated co-occurrence networks, and then analyzed and visualized the networks using Pajek software. The hub and authority measures identified the most important research topics in e-health. Newly emerging topics by 4-year period units were identified as research trends. RESULTS The most important research topics in e-health are personal health records (PHR), health information technology, primary care, mobile health, clinical decision support systems (CDSS), and so on. The eight groups obtained through ego network analysis can be divided into four semantically different areas, as follows: information technology, infrastructure, services, and subjects. Also, four historical trends in e-health research are identified: the first focusing on e-health and telemedicine; the second, PHR and monitoring; the third, CDSS and alert; and the fourth, mobile health and health literacy. CONCLUSIONS This study promotes a systematic understanding of e-health by identifying topic networks, thereby contributing to the future direction of e-health research and education.

[1]  Pamela Whitten,et al.  Providers' acceptance of telehospice. , 2005, Journal of palliative medicine.

[2]  Bethany S. Dohleman Exploratory social network analysis with Pajek , 2006 .

[3]  Ji-Young An,et al.  Application of Social Network Analysis to Health Care Sectors , 2012, Healthcare informatics research.

[4]  R. Majdzadeh,et al.  A social network analysis on clinical education of diabetic foot , 2013, Journal of Diabetes & Metabolic Disorders.

[5]  Güleda Düzyol,et al.  Use of Social Network Analysis in Bibliometric Researches 1 , 2012 .

[6]  Jeffrey P Harrison,et al.  The role of e-Health in the changng health care environment. , 2006, Nursing economic$.

[7]  Stephen H. Cohen,et al.  A pilot study to document the return on investment for implementing an ambulatory electronic health record at an academic medical center. , 2007, Journal of the American College of Surgeons.

[8]  R. Alvarez,et al.  The promise of e-Health – a Canadian perspective , 2002, Ehealth international.

[9]  S. Wasserman,et al.  Social Network Analysis: Computer Programs , 1994 .

[10]  Hong-Gee Kim,et al.  Knowledge Structure of Korean Medical Informatics: A Social Network Analysis of Articles in Journal and Proceedings , 2010, Healthcare informatics research.

[11]  Alberto Coustasse,et al.  Personal health records: is rapid adoption hindering interoperability? , 2014, Perspectives in health information management.

[12]  Bojana Boh Podgornik,et al.  Data structuring and classification in newly-emerging scientific fields , 2005, Online Inf. Rev..

[13]  Ji-Young An,et al.  Social Network Analysis of Elders' Health Literacy and their Use of Online Health Information , 2014, Healthcare informatics research.

[14]  Ed C. M. Noyons,et al.  Bibliometric mapping of science in a policy context , 2004, Scientometrics.

[15]  Jenine K. Harris,et al.  Network Analysis in Public Health: History, Methods, and Applications , 2022 .

[16]  Giovanni Fattore,et al.  Social network analysis in primary care: the impact of interactions on prescribing behaviour. , 2009, Health policy.

[17]  Smith Me,et al.  Proteins essential for the human factory. , 1946 .

[18]  Qin He,et al.  Knowledge Discovery Through Co-Word Analysis , 1999, Libr. Trends.

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

[20]  Wei Wu,et al.  The Effect of Computerized Physician Order Entry with Clinical Decision Support on the Rates of Adverse Drug Events: A Systematic Review , 2008, Journal of General Internal Medicine.

[21]  Simon de Lusignan,et al.  Viewpoint Paper: e-Prescribing, Efficiency, Quality: Lessons from the Computerization of UK Family Practice , 2006, J. Am. Medical Informatics Assoc..

[22]  Minal Thakkar,et al.  Risks, barriers, and benefits of EHR systems: a comparative study based on size of hospital. , 2006, Perspectives in health information management.

[23]  Vladimir Batagelj,et al.  Exploratory Social Network Analysis with Pajek , 2005 .

[24]  Stephen B. Johnson,et al.  Social network analysis of interdisciplinarity in obesity research. , 2008, AMIA ... Annual Symposium proceedings. AMIA Symposium.

[25]  Senator Jeong,et al.  [A social network analysis of research topics in Korean nursing science]. , 2011, Journal of Korean Academy of Nursing.

[26]  Gordon H Guyatt,et al.  Users' guide to the surgical literature: how to use a systematic literature review and meta-analysis. , 2004, Canadian journal of surgery. Journal canadien de chirurgie.