B. Mollon, J. Chong, A. Holbrook, M. Sung, L. Thabane et al., Features predicting the success of computerized decision support for prescribing: a systematic review of randomized controlled trials, BMC Medical Informatics and Decision Making, vol.10, issue.1, p.11, 2009.
DOI : 10.1016/j.jbi.2005.05.003

S. Pearson, A. Moxey, J. Robertson, I. Hains, M. Williamson et al., Do computerised clinical decision support systems for prescribing change practice? A systematic review of the literature (1990-2007), BMC Health Services Research, vol.8, issue.1, p.154, 1990.
DOI : 10.3310/hta8060

K. Kawamoto, C. Houlihan, E. Balas, and D. Lobach, Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success, BMJ, vol.330, issue.7494, p.330765, 2005.
DOI : 10.1136/bmj.38398.500764.8F

A. Garg, N. Adhikari, H. Mcdonald, M. Rosas-arellano, P. Devereaux et al., Effects of Computerized Clinical Decision Support Systems on Practitioner Performance and Patient Outcomes, JAMA, vol.293, issue.10, pp.2931223-1238, 2005.
DOI : 10.1001/jama.293.10.1223

M. Johnston, K. Langton, R. Haynes, and A. Mathieu, Effects of Computer-based Clinical Decision Support Systems on Clinician Performance and Patient Outcome: A Critical Appraisal of Research, Annals of Internal Medicine, vol.120, issue.2, pp.135-142, 1994.
DOI : 10.7326/0003-4819-120-2-199401150-00007

R. Shiffman, Y. Liaw, C. Brandt, and G. Corb, Computer-based Guideline Implementation Systems: A Systematic Review of Functionality and Effectiveness, Journal of the American Medical Informatics Association, vol.6, issue.2, pp.104-114, 1999.
DOI : 10.1136/jamia.1999.0060104

D. Hunt, R. Haynes, S. Hanna, and K. Smith, Effects of Computer-Based Clinical Decision Support Systems on Physician Performance and Patient Outcomes, JAMA, vol.280, issue.15, pp.1339-1346, 1998.
DOI : 10.1001/jama.280.15.1339

K. Shojania, A. Jennings, A. Mayhew, C. Ramsay, M. Eccles et al., The effects of on-screen, point of care computer reminders on processes and outcomes of care, Cochrane Database Syst Rev, vol.24, issue.8, p.1096, 2009.
DOI : 10.1002/14651858.CD001096.pub2

J. Osheroff, E. Pifer, and J. T. , Improving Outcomes with Clinical Decision Support, 2005.

P. Kilbridge, E. Welebob, and D. Classen, Development of the Leapfrog methodology for evaluating hospital implemented inpatient computerized physician order entry systems, Quality and Safety in Health Care, vol.15, issue.2, pp.81-84, 2006.
DOI : 10.1136/qshc.2005.014969

E. Neilson, K. Johnson, S. Rosenbloom, W. Dupont, D. Talbert et al., The Impact of Peer Management on Test-Ordering Behavior, Annals of Internal Medicine, vol.141, issue.3, pp.196-204, 2004.
DOI : 10.7326/0003-4819-141-3-200408030-00008

R. Koppel, J. Metlay, A. Cohen, B. Abaluck, A. Localio et al., Role of Computerized Physician Order Entry Systems in Facilitating Medication Errors, JAMA, vol.293, issue.10, pp.1197-1203, 2005.
DOI : 10.1001/jama.293.10.1197

D. Bates, G. Kuperman, E. Rittenberg, J. Teich, J. Fiskio et al., A randomized trial of a computer-based intervention to reduce utilization of redundant laboratory tests, The American Journal of Medicine, vol.106, issue.2, pp.144-150, 1999.
DOI : 10.1016/S0002-9343(98)00410-0

R. Thomas, B. Croal, C. Ramsay, M. Eccles, and J. Grimshaw, Effect of enhanced feedback and brief educational reminder messages on laboratory test requesting in primary care: a cluster randomised trial, The Lancet, vol.367, issue.9527, pp.3671990-1996, 2006.
DOI : 10.1016/S0140-6736(06)68888-0

P. Degoulet, L. Marin, M. Lavril, L. Bozec, C. Delbecke et al., The HEGP component-based clinical information system, International Journal of Medical Informatics, vol.69, issue.2-3, pp.115-126, 2003.
DOI : 10.1016/S1386-5056(02)00101-6

J. Nies, I. Colombet, P. Degoulet, and P. Durieux, Determinants of success for computerized clinical decision support systems integrated in CPOE systems: a systematic review, AMIA Annu Symp Proc, pp.594-598, 2006.

S. Gilmour, L. Degenhardt, W. Hall, and C. Day, Using intervention time series analyses to assess the effects of imperfectly identifiable natural events: a general method and example, BMC Medical Research Methodology, vol.100, issue.1, p.16, 2006.
DOI : 10.1111/j.1360-0443.2005.01161.x

A. Wagner, S. Soumerai, F. Zhang, and D. Ross-degnan, Segmented regression analysis of interrupted time series studies in medication use research, Journal of Clinical Pharmacy and Therapeutics, vol.71, issue.4, pp.299-309, 2002.
DOI : 10.1001/jama.263.6.831

M. Eccles, J. Grimshaw, M. Campbell, and C. Ramsay, Research designs for studies evaluating the effectiveness of change and improvement strategies. Qual Saf Health Care, pp.47-52, 2003.

F. Ansari, K. Gray, D. Nathwani, G. Phillips, S. Ogston et al., Outcomes of an intervention to improve hospital antibiotic prescribing: interrupted time series with segmented regression analysis, Journal of Antimicrobial Chemotherapy, vol.52, issue.5, pp.842-848, 2003.
DOI : 10.1093/jac/dkg459

J. Aarts, H. Doorewaard, and M. Berg, Understanding Implementation: The Case of a Computerized Physician Order Entry System in a Large Dutch University Medical Center, Journal of the American Medical Informatics Association, vol.11, issue.3, pp.207-216, 2004.
DOI : 10.1197/jamia.M1372

D. Solomon, H. Hashimoto, L. Daltroy, and M. Liang, Techniques to Improve Physicians' Use of Diagnostic Tests, JAMA, vol.280, issue.23, pp.2020-2027, 1998.
DOI : 10.1001/jama.280.23.2020