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An Exploratory Study of Evidence-Based Clinical Decision Support Systems

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Information Systems Design and Intelligent Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 863))

Abstract

With the rapid expansion of medical research, patients worldwide are having higher expectations in terms of medical services and clinical care. Huge research efforts are invested with the objective to minimize medical errors, improve patient care efficiency and increase patient safety. One initiative towards this endeavour is the development of clinical decision support systems (CDSS), which give recommendations on patient diagnosis, treatment options and follow-up, to healthcare providers. Evidence-based CDSS has proved to boost up the use of traditional CDSS, since they have mechanisms to integrate new evidence from literature-based research findings into their knowledge base, for more informed decision-making. This work conducts an exploratory study of different evidence-based CDSS, which provides a comparative study and based on the findings, proposes future research challenges for such types of systems. This paper will provide both researchers and healthcare practitioners with the current state of affairs in the domain of evidence-based CDSS.

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References

  1. Zakaria, N., Affendi, S., Zakaria, N.: Managing ICT in healthcare organization: culture, challenges, and issues of technology adoption and implementation. In: Health Information Systems: Concepts, Methodologies, Tools, and Applications, pp. 1357–1372. IGI Global, Hershey (2010)

    Google Scholar 

  2. Petterson, S.M., Liaw, W.R., Phillips, R.L., Rabin, D.L., Meyers, D.S., Bazemore, A.W.: Projecting US primary care physician workforce needs: 2010–2025. Ann. Fam. Med. 10(6), 503–509 (2012)

    Article  Google Scholar 

  3. Castaneda, C., Nalley, K., Mannion, C., Bhattacharyya, P., Blake, P., Pecora, A., Goy, A., Suh, K.S.: Clinical decision support systems for improving diagnostic accuracy and achieving precision medicine. J. Clin. Bioinform. 5(1), 4 (2015)

    Google Scholar 

  4. Sim, I., Gorman, P., Greenes, R.A., Haynes, R.B., Kaplan, B., Lehmann, H., Tang, P.C.: Clinical decision support systems for the practice of evidence-based medicine. J. Am. Med. Inform. Assoc. 8(6), 527–534 (2001)

    Article  Google Scholar 

  5. The medical definition of evidence-based medicine. https://www.medicinenet.com/script/main/art.asp?articlekey=33300

  6. Majid, S., Foo, S., Luyt, B., Zhang, X., Theng, Y.L., Chang, Y.K., Mokhtar, I.A.: Adopting evidence-based practice in clinical decision making: nurses’ perceptions, knowledge, and barriers. J. Med. Libr. Assoc. JMLA 99(3), 229 (2011)

    Article  Google Scholar 

  7. Berner, E.S., La Lande, T.J.: Overview of clinical decision support systems. In: Clinical Decision Support Systems, pp. 1–17. Springer, Cham (2016)

    Google Scholar 

  8. What is evidence-based practice. https://guides.mclibrary.duke.edu/c.php?g=158201&p=1036021

  9. Alther, M., Reddy, C.K.: Clinical decision support systems. In: Reddy, C.K., Aggarwal, C.C. (eds.) Healthcare Data Analytics. Taylor and Francis, UK (2015)

    Google Scholar 

  10. Alaa, A.M., Moon, K.H., Hsu, W., Van der Schaar, M.: ConfidentCare: a clinical decision support system for personalized breast cancer screening. IEEE Trans. Multimedia 18(10), 1942–1955 (2016)

    Article  Google Scholar 

  11. Zarkogianni, K., Litsa, E., Mitsis, K., Wu, P.Y., Kaddi, C.D., Cheng, C.W., Wang, M.D., Nikita, K.S.: A review of emerging technologies for the management of diabetes mellitus. IEEE Trans. Biomed. Eng. 62(12), 2735–2749 (2015)

    Article  Google Scholar 

  12. Sakr, A.A., Mosa, D.T., Shehabeldien, A.: Development of an intelligent approach for medical knowledge discovery and decision support. Development 99(6) (2014)

    Google Scholar 

  13. Trivedi, M.H., Kern, J.K., Grannemann, B.D., Altshuler, K.Z., Sunderajan, P.: A computerized clinical decision support system as a means of implementing depression guidelines. Psychiatr. Serv. 55(8), 879–885 (2004)

    Article  Google Scholar 

  14. Goldstein, M.K., Hoffman, B.B., Coleman, R.W., Musen, M.A., Tu, S.W., Advani, A., Shankar, R., O’connor, M.: Implementing clinical practice guidelines while taking account of changing evidence: ATHENA DSS, an easily modifiable decision-support system for managing hypertension in primary care. In: AMIA Symposium p. 300. American Medical Informatics Association, USA (2000)

    Google Scholar 

  15. Kawamoto, K., Houlihan, C.A., Balas, E.A., Lobach, D.F.: Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success. BMJ 330(7494), 765 (2005)

    Article  Google Scholar 

  16. Jaspers, M.W., Smeulers, M., Vermeulen, H., Peute, L.W.: Effects of clinical decision-support systems on practitioner performance and patient outcomes: a synthesis of high-quality systematic review findings. J. Am. Med. Inform. Assoc. 18(3), 327–334 (2011)

    Article  Google Scholar 

  17. Garg, A.X., Adhikari, N.K., McDonald, H., Rosas-Arellano, M.P., Devereaux, P.J., Beyene, J., Sam, J., Haynes, R.B.: Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. JAMA 293(10), 1223–1238 (2005)

    Article  Google Scholar 

  18. Van Valkenhoef, G., Tervonen, T., Zwinkels, T., De Brock, B., Hillege, H.: ADDIS: a decision support system for evidence-based medicine. Decis. Support Syst. 55(2), 459–475 (2013)

    Article  Google Scholar 

  19. Patkar, V., Fox, J.: Clinical guidelines and care pathways: a case study applying PROforma decision support technology to the breast cancer care pathway. Stud. Health Technol. Inform. 139, 233–242 (2008)

    Google Scholar 

  20. Ampudia-Blasco, F.J., Benhamou, P.Y., Charpentier, G., Consoli, A., Diamant, M., Gallwitz, B., Khunti, K., Mathieu, C., Ridderstråle, M., Seufert, J., Tack, C.: A decision support tool for appropriate glucose-lowering therapy in patients with type 2 diabetes. Diab. Technol. Ther. 17(3), 194–202 (2015)

    Article  Google Scholar 

  21. Afzal, M., Hussain, M., Khan, W.A., Ali, T., Lee, S., Kang, B.H.: KnowledgeButton: an evidence adaptive tool for CDSS and clinical research. In: Innovations in Intelligent Systems and Applications (INISTA) IEEE, pp. 273–280 (2014)

    Google Scholar 

  22. Towards evidence adaptive clinical decision support system. http://uclab.khu.ac.kr/resources/publication/C_336.pdf

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Author information

Authors and Affiliations

  1. University of Mauritius, Reduit, Mauritius

    Sudha Cheerkoot-Jalim, Kavi Kumar Khedo & Abha Jodheea-Jutton

Authors
  1. Sudha Cheerkoot-Jalim
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  2. Kavi Kumar Khedo
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  3. Abha Jodheea-Jutton
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Corresponding author

Correspondence to Sudha Cheerkoot-Jalim .

Editor information

Editors and Affiliations

  1. School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India

    Suresh Chandra Satapathy

  2. Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  3. Universite des Mascareignes, Beau Bassin-Rose Hill, Mauritius

    Radhakhrishna Somanah

  4. School of Science and Technology, Middlesex University, London, UK

    Xin-She Yang

  5. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Roman Senkerik

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Cheerkoot-Jalim, S., Khedo, K.K., Jodheea-Jutton, A. (2019). An Exploratory Study of Evidence-Based Clinical Decision Support Systems. In: Satapathy, S., Bhateja, V., Somanah, R., Yang, XS., Senkerik, R. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 863. Springer, Singapore. https://doi.org/10.1007/978-981-13-3338-5_20

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