Title: Clinical Decision Support System in Oncology: Oncologist's Perceptions and Suggestions
Year of Publication: 2017
Publisher: International Journal of Computer Systems (IJCS)
ISSN: 2394-1065
Series: Volume 04, Number 3, March 2017
Authors: Khair Ul Nisa, Rajeev Kumar


Khair Ul Nisa, Rajeev Kumar, "Clinical Decision Support System in Oncology: Oncologist's Perceptions and Suggestions", In International Journal of Computer Systems (IJCS), pp: 38-43, Volume 4, Issue 3, March 2017. BibTeX

	author = {Khair Ul Nisa, Rajeev Kumar},
	title = {Clinical Decision Support System in Oncology: Oncologist's Perceptions and Suggestions},
	journal = {International Journal of Computer Systems (IJCS)},
	year = {2017},
	volume = {4},
	number = {3},
	pages = {38-43},
	month = {March}


Background: A clinical decision support system (CDSS) is a health information technology system that is designed to provide physicians and other health professionals with overall information about the patients and their health record or in other words clinical decision support (CDS), i.e. assistance with clinical decision-making tasks. Purpose: The main aim of the study was to assess the knowledge, perception and expectations of oncologists from North India (particularly J&K) about the CDSS. Methodology: 100 Oncologists of various hospitals and research institutes of North India were selected as participants for the present survey. A well-prepared questionnaire was provided to the participants containing the questions related to information, perception and prospects towards CDSS. The participants were asked to mark their response on a 5-PointLikert Scale i.e. from Strongly Agree to Strongly Disagree. The time motion study was also conducted to identify the issues related to the retrieval of patient information and domain knowledge. Results: The Oncologists had significant knowledge of CDSS and their perception towards CDSS was found to be substantial. The Oncologists felt the need of implementing CDSS in their hospitals so as to increase the healthcare facilities, speed-up the treatment process and reduce the healthcare cost. The Oncologists expected that the CDSS should have the characteristics to store the patient’s clinical history, practice guidelines and updates related to cancer care. The time motion study showed that the Oncologists spend most of their time in accessing patient information during patient evaluation because they don’t have any web based database to directly access the information, rather have to largely depend on printed text. Conclusion: There is a huge demand of implementing CDSS in cancer hospitals and research institutes so as to make the cancer treatment and research more effective, affordable and less time consuming.


[1] Goss, P.E., et al., Challenges to effective cancer control in China, India, and Russia. Lancet Oncol, 2014. 15(5): p. 489-538.
[2] Chinembiri, T.N., et al., Review of Natural Compounds for Potential Skin Cancer Treatment. Molecules, 2014. 19(8): p.11679-11721.
[3] Maserat, E., Information communication technology: new approach for rural cancer care improvement. Asian Pac J Cancer Prev, 2008. 9(4): p. 811-4.
[4] Castaneda, C., et al., Clinical decision support systems for improving diagnostic accuracy and achieving precision medicine. Journal of Clinical Bioinformatics, 2015. 5: p. 4.
[5] van den Brink, J.L., et al., An information system to support the care for head and neck cancer patients. Support Care Cancer, 2003. 11(7): p. 452-9.
[6] System, D.S., Open Clinical Knowledge Management for Medical Care. [Cited 2011 February 11]; Available from URL. 2011.
[7] Lugtenberg, M., et al., Implementation of multiple-domain covering computerized decision support systems in primary care: a focus group study on perceived barriers. BMC Med Inform Decis Mak, 2015. 15: p. 82.
[8] Wong, H.J., M.W. Legnini, and H.H. Whitmore, The diffusion of decision support systems in healthcare: are we there yet? J Healthc Manag, 2000. 45(4): p. 240-9; discussion 249-53.
[9] Menachemi, N., et al., Environmental factors and health information technology management strategy. Health Care Manage Rev, 2011. 36(3): p. 275-85.
[10] Badran, I.G., Knowledge, attitude and practice the three pillars of excellence and wisdom: a place in the medical profession. Eastern Mediterranean Health Journal, 1995. 1(1): p. 8-16.
[11] Lindenauer, P.K., et al., Physician characteristics, attitudes, and use of computerized order entry. J Hosp Med, 2006. 1(4): p. 221-30.
[12] Al-Hajjaj, M.S. and E.A. Bamgboye, Attitude and Opinion of medical staff towards computers. Computers in Biology and Medicine, 1992. 22(4): p. 221-226.
[13] Liaw, S.T., et al., Doctors' perceptions and attitudes to prescribing within the Authority Prescribing System. Med J Aust, 2003. 178(5): p. 203-6.
[14] Young, D.W., Doctors' attitudes to a computer-based clinical information system. Methods Inf Med, 1981. 20(4): p. 196-9.
[15] Van Doormaal, J.E., et al., Computerized physician order entry (CPOE) system: expectations and experiences of users. J Eval Clin Pract, 2010. 16(4): p. 738-43.
[16] Clark, C., Doctors Need Decision Support in Ordering Imaging Diagnostics. IMGMA Medical Group Management Association, 2010(7).
[17] Carroll, C., et al., Involving users in the design and usability evaluation of a clinical decision support system. Comput Methods Programs Biomed, 2002. 69(2): p. 123-35.
[18] Creswell, J.W., Research design: Qualitative and quantitative approaches. Thousand Oaks, CA: SAGE Publications, 1994.
[19] Garg, A.X., et al., Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. JAMA, 2005. 293(10): p. 1223-38.
[20] Haynes, R.B. and N.L. Wilczynski, Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: methods of a decision-maker-researcher partnership systematic review. Implement Sci, 2010. 5: p. 12.
[21] Kawamoto, K., et al., Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success. BMJ, 2005. 330(7494): p. 765.
[22] Sinha, R.K., et al., Clinical Decision Support System for Oncologist: Perception, Expectations and Implementation. Online J Health Allied Scs, 2011. 10(4): p. 7-13.
[23] McMullin, S.T., et al., Impact of an evidence-based computerized decision support system on primary care prescription costs. Ann Fam Med, 2004. 2(5): p. 494-8.
[24] Rosenbloom, S.T., D. Talbert, and D. Aronsky, Clinicians' perceptions of clinical decision support integrated into computerized provider order entry. Int J Med Inform, 2004. 73(5): p. 433-41.
[25] Rossos, P.G., et al., Active physician participation key to smooth MOE/MAR rollout. Healthc Q, 2006. 10 Spec No: p. 58-64, 6.


Clinical Decision Support System; Cancer; Oncologist; Questionnaire.