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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
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)
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)
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)
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)
The medical definition of evidence-based medicine. https://www.medicinenet.com/script/main/art.asp?articlekey=33300
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)
Berner, E.S., La Lande, T.J.: Overview of clinical decision support systems. In: Clinical Decision Support Systems, pp. 1–17. Springer, Cham (2016)
What is evidence-based practice. https://guides.mclibrary.duke.edu/c.php?g=158201&p=1036021
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)
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)
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)
Sakr, A.A., Mosa, D.T., Shehabeldien, A.: Development of an intelligent approach for medical knowledge discovery and decision support. Development 99(6) (2014)
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)
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)
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)
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)
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)
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)
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)
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)
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)
Towards evidence adaptive clinical decision support system. http://uclab.khu.ac.kr/resources/publication/C_336.pdf
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-981-13-3338-5_20
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-3337-8
Online ISBN: 978-981-13-3338-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)