An Invisible Network of Knowledge of Quality of Health Care  
Author Cheng-Kun Wang




Abstract Quality of health care can be described as striving for and reaching excellent standards of care. It involves assessing the appropriateness of medical tests and treatments and measures to continually improve personal health care in all fields of medicine. Scientometrics is applied to analyze many articles’ citation data and realize the paradigm shift of different countries’ quality of health care system. Bibliometrics is a set of methods to quantitatively analyze scientific and technological literature. The purpose of this study is to identify the evolution of the quality of health care and to reveal a description of an invisible network of knowledge. Within each discipline, journal articles, books, and monographs fill the fundamental role of storing and distributing information. This analysis reveals a wealth of information, for example the lists of highly-cited authors, books, and articles presented here. By analyzing 91,505 citations of 2,000 articles published in SSCI journals in the quality of health care field from year 2003 to year 2012, this study maps the invisible network of knowledge of quality of health care studies and find the development of quality of health care. After executing keyword analysis and tag cloud analysis, ”randomized controlled-trial”, “quality of care”, “prevalence”, “performance”, “interventions”, and “decision-making” are the emerging topics in the quality of health care field. The contribution of this study is to provide important insights and implications of quality of health care.


Keywords quality, health care, invisible network of knowledge, tag cloud
    Article #:  19161
Proceedings of the 19th ISSAT International Conference on Reliability and Quality in Design
August 5-7, 2013 - Honolulu, Hawaii, U.S.A.