Acta Informatica Pragensia 2021, 10(1), 61-74 | DOI: 10.18267/j.aip.1464530

Bibliometric Analysis of Clinical Decision Support Systems

Cemal Aktürk ORCID...
Faculty of Engineering and Natural Sciences, Gaziantep Islam Science and Technology University, Beştepe neighbourhood, 192180 street, 27010 Şahinbey/Gaziantep, Turkey

Clinical decision support systems are computer systems that help decision-makers make effective and efficient decisions in the diagnosis and treatment of diseases, patient care, and health institution management. In this study, descriptive and bibliometric analyses were carried out of studies on clinical decision support systems conducted between 2016 and 2021 in journals included in the Web of Science database. In the first stage, the distribution of the articles was determined according to the publication year, country, institution, journal and citation numbers within the scope of descriptive analysis. In the second stage, within the scope of bibliometric analysis, co-author-institution, co-citation-author, co-citation-country and common keyword analysis of the articles were made. As a result of the research, 8052 articles on clinical decision support systems were reached. It was observed that the country with the most studies on this subject are the United States and the institution is Harvard University. It was seen that the journal with the highest number of articles was PLoS ONE. In addition, co-citations, institutional and country collaborations between authors are presented with visual maps. The purpose of this study is to present the studies on clinical decision support systems in a systematic framework and to provide a broad perspective to the researchers and field experts working on this subject.

Keywords: Bibliometric analysis, Bibliometrics, Clinical decision support system, Decision making, Scientific collaboration.

Received: April 2, 2021; Revised: April 30, 2021; Accepted: May 2, 2021; Prepublished online: May 2, 2021; Published: June 30, 2021  Show citation

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Aktürk, C. (2021). Bibliometric Analysis of Clinical Decision Support Systems. Acta Informatica Pragensia, 10(1), 61-74. doi: 10.18267/j.aip.146
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    References

    1. Adunlin, G., Diaby, V., & Xiao, H. (2015). Application of multicriteria decision analysis in health care: a systematic review and bibliometric analysis. Health Expectations, 18(6), 1894-1905. https://doi.org/10.1111/hex.12287 Go to original source...
    2. Agbo, F. J., Oyelere, S. S., Suhonen, J., & Tukiainen, M. (2021a). Scientific production and thematic breakthroughs in smart learning environments: a bibliometric analysis. Smart Learning Environments, 8(1). https://doi.org/10.1186/s40561-020-00145-4 Go to original source...
    3. Agbo, F. J., Sanusi, I. T., Oyelere, S. S., & Suhonen, J. (2021b). Application of Virtual Reality in Computer Science Education: A Systemic Review Based on Bibliometric and Content Analysis Methods. Education Sciences, 11(3), 142. https://doi.org/10.3390/educsci11030142 Go to original source...
    4. Alexander, E. K., Pearce, E. N., Brent, G. A., Brown, R. S., Chen, H., Dosiou, C., Grobman, W. A., Laurberg, P., Lazarus, J. H., Mandel, S. J., Peeters, R. P., & Sullivan, S. (2017). 2017 Guidelines of the American Thyroid Association for the Diagnosis and Management of Thyroid Disease During Pregnancy and the Postpartum. Thyroid, 27(3), 315-389. https://doi.org/10.1089/thy.2016.0457 Go to original source...
    5. Börner, K., Chen, C., & Boyack, K. W. (2005). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37(1), 179-255. https://doi.org/10.1002/aris.1440370106 Go to original source...
    6. Bright, T. J., Wong, A., Dhurjati, R., Bristow, E., Bastian, L., Coeytaux, R. R., Samsa, G., Hasselblad, V., Williams, J. W., Musty, M. D., Wing, L., Kendrick, A. S., Sanders, G. D., & Lobach, D. (2012). Effect of Clinical Decision-Support Systems. Annals of Internal Medicine, 157(1), 29. https://doi.org/10.7326/0003-4819-157-1-201207030-00450 Go to original source...
    7. Chen, X., Xie, H., Wang, F. L., Liu, Z., Xu, J., & Hao, T. (2018). A bibliometric analysis of natural language processing in medical research. BMC Medical Informatics and Decision Making, 18(S1). https://doi.org/10.1186/s12911-018-0594-x Go to original source...
    8. Costa, F., van Klaveren, D., James, S., Heg, D., Räber, L., Feres, F., Pilgrim, T., Hong, M.-K., Kim, H.-S., Colombo, A., Steg, P. G., Zanchin, T., Palmerini, T., Wallentin, L., Bhatt, D. L., Stone, G. W., Windecker, S., Steyerberg, E. W., & Valgimigli, M. (2017). Derivation and validation of the predicting bleeding complications in patients undergoing stent implantation and subsequent dual antiplatelet therapy (PRECISE-DAPT) score: a pooled analysis of individual-patient datasets from clinical trials. The Lancet, 389(10073), 1025-1034. https://doi.org/10.1016/s0140-6736(17)30397-5 Go to original source...
    9. Diaby, V., Campbell, K., & Goeree, R. (2013). Multi-criteria decision analysis (MCDA) in health care: A bibliometric analysis. Operations Research for Health Care, 2(1-2), 20-24. https://doi.org/10.1016/j.orhc.2013.03.001 Go to original source...
    10. Gil, M., Wróbel, K., Montewka, J., & Goerlandt, F. (2020). A bibliometric analysis and systematic review of shipboard Decision Support Systems for accident prevention. Safety Science, 128, 104717. https://doi.org/10.1016/j.ssci.2020.104717 Go to original source...
    11. Gillies, R. J., Kinahan, P. E., & Hricak, H. (2016). Radiomics: Images Are More than Pictures, They Are Data. Radiology, 278(2), 563-577. https://doi.org/10.1148/radiol.2015151169 Go to original source...
    12. Guo, Y., Hao, Z., Zhao, S., Gong, J., & Yang, F. (2020). Artificial Intelligence in Health Care: Bibliometric Analysis. Journal of Medical Internet Research, 22(7), e18228. https://doi.org/10.2196/18228 Go to original source...
    13. Gülmez, D., Özteke, İ., & Gümüş, S. (2021). Overview of Educational Research from Turkey Published in International Journals: A Bibliometric Analysis. Eğitim ve Bilim [Education and Science], 46, 213-239. https://doi.org/10.15390/eb.2020.9317 Go to original source...
    14. Haugen, B. R., Alexander, E. K., Bible, K. C., Doherty, G. M., Mandel, S. J., Nikiforov, Y. E., Pacini, F., Randolph, G. W., Sawka, A. M., Schlumberger, M., Schuff, K. G., Sherman, S. I., Sosa, J. A., Steward, D. L., Tuttle, R. M., & Wartofsky, L. (2016). 2015 American Thyroid Association Management Guidelines for Adult Patients with Thyroid Nodules and Differentiated Thyroid Cancer: The American Thyroid Association Guidelines Task Force on Thyroid Nodules and Differentiated Thyroid Cancer. Thyroid: Official Journal of the American Thyroid Association, 26(1), 1-133. https://doi.org/10.1089/thy.2015.0020 Go to original source...
    15. Hu, Y., Yu, Z., Cheng, X., Luo, Y., & Wen, C. (2020). A bibliometric analysis and visualization of medical data mining research. Medicine, 99(22), e20338. https://doi.org/10.1097/md.0000000000020338 Go to original source...
    16. Jalali, M. S., Razak, S., Gordon, W., Perakslis, E., & Madnick, S. (2019). Health Care and Cybersecurity: Bibliometric Analysis of the Literature. Journal of Medical Internet Research, 21(2), e12644. https://doi.org/10.2196/12644 Go to original source...
    17. Jellinger, P. S., Handelsman, Y., Rosenblit, P. D., Bloomgarden, Z. T., Fonseca, V. A., Garber, A. J., Grunberger, G., Guerin, C. K., Bell, D. S. H., Mechanick, J. I., Pessah-Pollack, R., Wyne, K., Smith, D., Brinton, E. A., Fazio, S., & Davidson, M. (2017). American Association of Clinical Endocrinologists and American College of Endocrinology guidelines for management of dyslipidemia and prevention of cardiovascular disease. Endocrine Practice, 23(Supplement 2), 1-87. https://doi.org/10.4158/ep171764.appgl Go to original source...
    18. Kermany, D. S., Goldbaum, M., Cai, W., Valentim, C. C. S., Liang, H., Baxter, S. L., McKeown, A., Yang, G., Wu, X., Yan, F., Dong, J., Prasadha, M. K., Pei, J., Ting, M. Y. L., Zhu, J., Li, C., Hewett, S., Dong, J., Ziyar, I., & Shi, A. (2018). Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning. Cell, 172(5), 1122-1131.e9. https://doi.org/10.1016/j.cell.2018.02.010 Go to original source...
    19. Kitsios, F., Kamariotou, M., & Talias, M. A. (2020). Corporate Sustainability Strategies and Decision Support Methods: A Bibliometric Analysis. Sustainability, 12(2), 521. https://doi.org/10.3390/su12020521 Go to original source...
    20. Li, J., & Hale, A. (2016). Output distributions and topic maps of safety related journals. Safety Science, 82, 236-244. https://doi.org/10.1016/j.ssci.2015.09.004 Go to original source...
    21. McCrindle, B. W., Rowley, A. H., Newburger, J. W., Burns, J. C., Bolger, A. F., Gewitz, M., Baker, A. L., Jackson, M. A., Takahashi, M., Shah, P. B., Kobayashi, T., Wu, M.-H., Saji, T. T., & Pahl, E. (2017). Diagnosis, Treatment, and Long-Term Management of Kawasaki Disease: A Scientific Statement for Health Professionals from the American Heart Association. Circulation, 135(17). https://doi.org/10.1161/cir.0000000000000484 Go to original source...
    22. Merigó, J. M., & Yang, J.-B. (2017). A bibliometric analysis of operations research and management science. Omega, 73, 37-48. https://doi.org/10.1016/j.omega.2016.12.004 Go to original source...
    23. Minhas, M. R., & Potdar, V. (2020). Decision Support Systems in Construction: A Bibliometric Analysis. Buildings, 10(6), 108. https://doi.org/10.3390/buildings10060108 Go to original source...
    24. Miotto, R., Li, L., Kidd, B. A., & Dudley, J. T. (2016). Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records. Scientific Reports, 6(1). https://doi.org/10.1038/srep26094 Go to original source...
    25. Nadri, H., Rahimi, B., Timpka, T., & Sedghi, S. (2017). The Top 100 Articles in the Medical Informatics: a Bibliometric Analysis. Journal of Medical Systems, 41(10), 150. https://doi.org/10.1007/s10916-017-0794-4 Go to original source...
    26. Özata, M., & Aslan, Ş. (2004). Klinik karar destek sistemleri ve örnek uygulamalar [Clinical Decision Support Systems and Model Applications]. Kocatepe Tip Dergisi [Medical Journal of Kocatepe], 5(1), 11-17.
    27. Park, K., Tan, E.-H., O'Byrne, K., Zhang, L., Boyer, M., Mok, T., Hirsh, V., Yang, J. C.-H., Lee, K. H., Lu, S., Shi, Y., Kim, S.-W., Laskin, J., Kim, D.-W., Arvis, C. D., Kölbeck, K., Laurie, S. A., Tsai, C.-M., Shahidi, M., & Kim, M. (2016). Afatinib versus gefitinib as first-line treatment of patients with EGFR mutation-positive non-small-cell lung cancer (LUX-Lung 7): a phase 2B, open-label, randomised controlled trial. The Lancet Oncology, 17(5), 577-589. https://doi.org/10.1016/s1470-2045(16)30033-x Go to original source...
    28. Puzanov, I., Diab, A., Abdallah, K., Bingham, C. O., Brogdon, C., Dadu, R., Hamad, L., Kim, S., Lacouture, M. E., LeBoeuf, N. R., Lenihan, D., Onofrei, C., Shannon, V., Sharma, R., Silk, A. W., Skondra, D., Suarez-Almazor, M. E., Wang, Y., Wiley, K., & Kaufman, H. L. (2017). Managing toxicities associated with immune checkpoint inhibitors: consensus recommendations from the Society for Immunotherapy of Cancer (SITC) Toxicity Management Working Group. Journal for Immunotherapy of Cancer, 5(1), 95. https://doi.org/10.1186/s40425-017-0300-z Go to original source...
    29. Santos, B. S., Steiner, M. T. A., Fenerich, A. T., & Lima, R. H. P. (2019). Data mining and machine learning techniques applied to public health problems: A bibliometric analysis from 2009 to 2018. Computers & Industrial Engineering, 138, 106120. https://doi.org/10.1016/j.cie.2019.106120 Go to original source...
    30. Saqr, M., Ng, K., Oyelere, S. sunday, & Tedre, M. (2021). People, Ideas, Milestones: A Scientometric Study of Computational Thinking. ACM Transactions on Computing Education, 21(3), 1-17. https://doi.org/10.1145/3445984 Go to original source...
    31. Sweileh, W. M., Al-Jabi, S. W., AbuTaha, A. S., Zyoud, S. H., Anayah, F. M. A., & Sawalha, A. F. (2017). Bibliometric analysis of worldwide scientific literature in mobile - health: 2006-2016. BMC Medical Informatics and Decision Making, 17(1). https://doi.org/10.1186/s12911-017-0476-7 Go to original source...
    32. van Nunen, K., Li, J., Reniers, G., & Ponnet, K. (2018). Bibliometric analysis of safety culture research. Safety Science, 108, 248-258. https://doi.org/10.1016/j.ssci.2017.08.011 Go to original source...
    33. Wright, A., Sittig, D. F., Ash, J. S., Feblowitz, J., Meltzer, S., McMullen, C., Guappone, K., Carpenter, J., Richardson, J., Simonaitis, L., Evans, R. S., Nichol, W. P., & Middleton, B. (2011). Development and evaluation of a comprehensive clinical decision support taxonomy: comparison of front-end tools in commercial and internally developed electronic health record systems. Journal of the American Medical Informatics Association, 18(3), 232-242. https://doi.org/10.1136/amiajnl-2011-000113 Go to original source...
    34. Yildiz, C. Ç., Başibüyük, M., & Yildirim, D. (2020). Klinik Karar Destek Sistemlerinin Hemşirelikte Kullanimi [The Use of Clinical Decision Support Systems in Nursing]. İnönü Üniversitesi Sağlik Hizmetleri Meslek Yüksek Okulu Dergisi [Journal of Inonu University Health Services Vocational School], 8(2), 483-495. https://doi.org/10.33715/inonusaglik.743296 Go to original source...
    35. Yilmaz, A. A., & Ozdemir, L. (2017). Development and Implementation of the Clinical Decision Support System for Patients with Cancer and Nurses' Experiences Regarding the System. International Journal of Nursing Knowledge, 28(1), 4-12. https://doi.org/10.1111/2047-3095.12099 Go to original source...

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