Analyzing and Visualizing Knowledge Structures of Health Informatics from 1974 to 2018: A Bibliometric and Social Network Analysis
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Objectives: This paper aims to provide a theoretical clarification of the health informatics field by conducting a quantitative review analysis of the health informatics literature. And this paper aims to map scientific networks; to uncover the explicit and hidden patterns, knowledge structures, and sub-structures in scientific networks; to track the flow and burst of scientific topics; and to discover what effects they have on the scientific growth of health informatics. Methods: This study was a quantitative literature review of the health informatics field, employing text mining and bibliometric research methods. This paper reviews 30,115 articles with health informatics as their topic, which are indexed in the Web of Science Core Collection Database from 1974 to 2018. This study analyzed and mapped four networks: author co-citation network, co-occurring author keywords and keywords plus, co-occurring subject categories, and country co-citation network. We used CiteSpace 5.3 and VOSviewer to analyze data, and we used Gephi 0.9.2 and VOSviewer to visualize the networks. Results: This study found that the three major themes of the literature from 1974 to 2018 were the utilization of computer science in healthcare, the impact of health informatics on patient safety and the quality of healthcare, and decision support systems. The study found that, since 2016, health informatics has entered a new era to provide predictive, preventative, personalized, and participatory healthcare systems. Conclusions: This study found that the future strands of research may be patient-generated health data, deep learning algorithms, quantified self and self-tracking tools, and Internet of Things based decision support systems.
Abstract
Objectives: This paper aims to provide a theoretical clarification of the health informatics field by conducting a quantitative review analysis of the health informatics literature. And this paper aims to map scientific networks; to uncover the explicit and hidden patterns, knowledge structures, and sub-structures in scientific networks; to track the flow and burst of scientific topics; and to discover what effects they have on the scientific growth of health informatics. Methods: This study was a quantitative literature review of the health informatics field, employing text mining and bibliometric research methods. This paper reviews 30,115 articles with health informatics as their topic, which are indexed in the Web of Science Core Collection Database from 1974 to 2018. This study analyzed and mapped four networks: author co-citation network, co-occurring author keywords and keywords plus, co-occurring subject categories, and country co-citation network. We used CiteSpace 5.3 and VOSviewer to analyze data, and we used Gephi 0.9.2 and VOSviewer to visualize the networks. Results: This study found that the three major themes of the literature from 1974 to 2018 were the utilization of computer science in healthcare, the impact of health informatics on patient safety and the quality of healthcare, and decision support systems. The study found that, since 2016, health informatics has entered a new era to provide predictive, preventative, personalized, and participatory healthcare systems. Conclusions: This study found that the future strands of research may be patient-generated health data, deep learning algorithms, quantified self and self-tracking tools, and Internet of Things based decision support systems.
참고문헌 (41)
- Carter CE, "Digital radiography and PACS" (2008), Mosby
- Fitzgerald-Hayes M, "DNA and biotechnology" (2010), Elsevier
- Smallwood RF, "Managing electronic records: Methods, best practices, and technologies" (2013), John Wiley & Sons
- Ballweg R, "Physician assistant: a guide to clinical practice" (2017), Elsevier
- O’Carroll PW, "Public health informatics and information systems" (2003), Springer
- Masic I., "The history and new trends of medical informatics", Donald School J Ultrasound Obstet Gynecol, 7(3), pp.301~302 (2013)
- Bronzino JD, "Medical devices and systems" (2006), CRC Press
- Scaletti A., "Evaluating investments in health care systems:health technology assessment" (2014), Springer
- Hayes BM, "Health informatics: a patientcentered approach to diabetes" (2010), MIT Press
- Deng H, "Evaluating the outcomes of medical informatics development as a discipline in China : a publication perspective", Comput Methods Programs Biomed, 164, pp.75~85 (2018)
- Kruse CS, "The use of electronic health records to support population health : a systematic review of the literature", J Med Syst, 42(11), pp.214~ (2018)
- Ross T., "A survival guide for health research methods" (2012), McGraw-Hill Education
- Walker E, "Meta-analysis : its strengths and limitations", Cleve Clin J Med, 75(6), pp.431~439 (2008)
- Stegenga J, "Is meta-analysis the platinum standard of evidence", Stud Hist Philos Biol Biomed Sci, 42(4), pp.497~507 (2011)
- Watanabe M, "Going multidisciplinary", Nature, 425(6957), pp.542~543 (2003)
- Chen C, "Mapping scientific frontiers: the quest for knowledge visualization" (2013), Springer
- Xu G, "Web mining and social networking:techniques and applications" (2011), Springer
- Gonzalez GH, "Recent advances and emerging applications in text and data mining for biomedical discovery", Brief Bioinform, 17(1), pp.33~42 (2016)
- Aggarwal CC, "Social network data analytics", pp.353~378 (2011), Springer
- Bornmann L, "Visualizing the context of citations referencing papers published by Eugene Garfield: a new type of keyword co-occurrence analysis", Scientometrics, 114(2), pp.427~437 (2018)
- Khokhar D., "Gephi cookbook" (2015), Packt Publishing Ltd
- Parente ST, "Health information technology and patient safety: evidence from panel data", Health Aff (Millwood), 28(2), pp.357~360 (2009)
- Alotaibi YK, "The impact of health information technology on patient safety", Saudi Med J, 38(12), pp.1173~1180 (2017)
- Kaelber DC, "Health information exchange and patient safety", J Biomed Inform, 40(6 Suppl), pp.S40~S45 (2007)
- Kawamoto K, "Improving clinical practice using clinical decision support systems : a systematic review of trials to identify features critical to success", BMJ, 330(7494), pp.765~ (2005)
- Sim I, "Clinical decision support systems for the practice of evidence-based medicine", J Am Med Inform Assoc, 8(6), pp.527~534 (2001)
- Bates DW, "Reducing the frequency of errors in medicine using information technology", J Am Med Inform Assoc, 8(4), pp.299~308 (2001)
- Bauchner H, "Changing physician behaviour", Arch Dis Child, 84(6), pp.459~462 (2001)
- Shiffman RN, "Computerbased guideline implementation systems : a systematic review of functionality and effectiveness", J Am Med Inform Assoc, 6(2), pp.104~114 (1999)
- Purcell GP, "The quality of health information on the internet", BMJ, 324(7337), pp.557~558 (2002)
- Gagliardi A, "Examination of instruments used to rate quality of health information on the internet : chronicle of a voyage with an unclear destination", BMJ, 324(7337), pp.569~573 (2002)
- Skiba DJ, "Informatics competencies for nurses revisited", Nurs Educ Perspect, 37(6), pp.365~367 (2016)
- Graves JR, "The study of nursing informatics", Image J Nurs Sch, 21(4), pp.227~231 (1989)
- Bickley L, "Bates' guide to physical examination and history-taking" (2012), Lippincott Williams & Wilkins
- Hersh W, "Medical informatics education : an alternative pathway for training informationists", J Med Libr Assoc, 90(1), pp.76~79 (2002)
- Norris AC, "Current trends and challenges in health informatics", Health Informatics J, 8(4), pp.205~213 (2002)
- Gagnon MP, "m-Health adoption by healthcare professionals : a systematic review", J Am Med Inform Assoc, 23(1), pp.212~220 (2016)
- Wilkowska W, "Privacy and data security in ehealth : requirements from the user's perspective", Health Informatics J, 18(3), pp.191~201 (2012)
- Pilemalm S, "Third generation participatory design in health informatics : making user participation applicable to large-scale information system projects", J Biomed Inform, 41(2), pp.327~339 (2008)
- Kvedar J, "Connected health: a review of technologies and strategies to improve patient care with telemedicine and telehealth", Health Aff (Millwood), 33(2), pp.194~199 (2014)
- Swan M, "Health 2050 : the realization of personalized medicine through crowdsourcing, the quantified self, and the participatory biocitizen", J Pers Med, 2(3), pp.93~118 (2012)