J. Grimshaw and R. I. , Effect of clinical guidelines on medical practice: a systematic review of rigorous evaluations, The Lancet, vol.342, issue.8883, pp.1317-1339, 1993.
DOI : 10.1016/0140-6736(93)92244-N

J. Dufour, J. Bouvenot, P. Ambrosi, D. Fieschi, and M. Fieschi, Textual Guidelines versus Computable Guidelines: A Comparative Study in the Framework of the PRESGUID Project in Order to Appreciate the Impact of Guideline Format on Physician Compliance, Proc AMIA Symp, pp.219-223, 2006.

C. Perria, D. Mandolini, C. Guerrera, T. Jefferson, P. Billi et al., Implementing a guideline for the treatment of type 2 diabetics: results of a Cluster- Randomized Controlled Trial (C-RCT) BMC Health Services Research, p.79, 2007.

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

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

C. Green, P. Fortin, M. Maclure, A. Macgregor, and S. Robinson, Information system support as a critical success factor for chronic disease management: Necessary but not sufficient, International Journal of Medical Informatics, vol.75, issue.12, pp.75818-828, 2006.
DOI : 10.1016/j.ijmedinf.2006.05.042

D. Sittig, M. Krall, R. Dykstra, A. Russell, and H. Chin, A survey of factors affecting clinician acceptance of clinical decision support, BMC Medical Informatics and Decision Making, vol.41, issue.5, p.6, 2006.
DOI : 10.1111/j.1525-1497.2003.30635.x

R. Sips, L. Braun, and N. Roos, Enabling protocol-based medical critiquing, Stud Health Technol Inform, vol.124, pp.471-476, 2006.

J. Van-wyk, M. Van-wijk, M. Sturkenboom, M. Mosseveld, P. Moorman et al., Electronic Alerts Versus On-Demand Decision Support to Improve Dyslipidemia Treatment: A Cluster Randomized Controlled Trial, Circulation, vol.117, issue.3, pp.371-378, 2008.
DOI : 10.1161/CIRCULATIONAHA.107.697201

P. Wanger and L. Martin, Algorithms for optimizing drug therapy, BMC Medical Informatics and Decision Making, vol.108, issue.4, p.10, 2004.
DOI : 10.1034/j.1600-0447.2003.00120.x

M. Kuilboer, M. Van-wijk, M. Mosseveld, E. Van-der-does, J. De-jongste et al., Computed critiquing integrated into daily clinical practice affects physicians' behavior--a randomized clinical trial with AsthmaCritic, Methods Inf Med, vol.45, issue.4, pp.447-454, 2006.

M. Kuilboer, M. Van-wijk, M. Mosseveld, and J. Van-der-lei, AsthmaCritic: Issues in Designing a Noninquisitive Critiquing System for Daily Practice, Journal of the American Medical Informatics Association, vol.10, issue.5, pp.419-424, 2003.
DOI : 10.1197/jamia.M1273

J. Martens, T. Van-der-weijden, J. Severens, P. De-clercq, D. De-bruijn et al., The effect of computer reminders on GPs??? prescribing behaviour: A cluster-randomised trial, International Journal of Medical Informatics, vol.76, issue.S3, pp.76-403, 2007.
DOI : 10.1016/j.ijmedinf.2007.04.005

R. Bindels, P. De-clercq, R. Winkens, and A. Hasman, A test ordering system with automated reminders for primary care based on practice guidelines, International Journal of Medical Informatics, vol.58, issue.59
DOI : 10.1016/S1386-5056(00)00089-7

R. Bindels, A. Hasman, J. Van-wersch, J. Talmon, and R. Winkens, Evaluation of an automated test ordering and feedback system for general practitioners in daily practice, International Journal of Medical Informatics, vol.73, issue.9-10, pp.9-10705, 2004.
DOI : 10.1016/j.ijmedinf.2004.06.001

B. Séroussi, J. Bouaud, H. Dreau, H. Falcoff, C. Riou et al., ASTI: a guideline-based drug-ordering system for primary care, Medinfo, the Netherlands, vol.10, pp.528-560, 2001.

V. Ebrahiminia, C. Riou, B. Séroussi, J. Bouaud, S. Dubois et al., Design of a decision support system for chronic diseases coupling generic therapeutic algorithms with guideline-based specific rules, Stud Health Technol Inform, vol.124, pp.483-488, 2006.

V. Ebrahiminia, C. Duclos, M. Toussi, C. Riou, R. Cohen et al., Representing the patient's therapeutic history in medical records and in guideline recommendations for chronic diseases using a unique model, Stud Health Technol Inform, vol.116, pp.101-107, 2005.

J. Lamy, A. Ellini, V. Ebrahiminia, J. Zucker, H. Falcoff et al., Use of the C4.5 machine learning algorithm to test a clinical guideline-based decision support system, Stud Health Technol Inform, vol.136, pp.223-228, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00912885

J. Bouaud, B. Séroussi, H. Falcoff, and A. Venot, Complementarity of reminderbased and on-demand decision support according to clinical case complexity, Stud Health Technol Inform, vol.116, pp.1086-1091, 2005.

B. Séroussi, J. Bouaud, and G. Chatellier, Guideline-based modeling of therapeutic strategies in the special case of chronic diseases, International Journal of Medical Informatics, vol.74, issue.2-4, pp.89-99, 2005.
DOI : 10.1016/j.ijmedinf.2004.06.004

D. Clercq, P. Blom, J. Korsten, H. Hasman, and A. , Approaches for creating computer-interpretable guidelines that facilitate decision support, Artificial Intelligence in Medicine, vol.31, issue.1, pp.1-27, 2004.
DOI : 10.1016/j.artmed.2004.02.003

J. Van-der-lei and M. Musen, The separation of reviewing knowledge from medical knowledge, Methods Inf Med, vol.34, issue.12, pp.131-140, 1995.

A. Albisser, A. R. Sperlich, M. Ricordi, and C. , Prescription Checking Device Promises to Resolve Intractable Hypoglycemia, Journal of Diabetes Science and Technology, vol.24, issue.1, pp.524-532, 2009.
DOI : 10.2337/diacare.26.6.1902
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2769868

A. Albisser, A. R. Sperlich, M. Ricordi, and C. , Closing the Circle of Care with New Firmware for Diabetes: MyDiaBase+RxChecker, Journal of Diabetes Science and Technology, vol.17, issue.10, pp.619-623, 2009.
DOI : 10.1177/193229680900300328

P. Groot, A. Hommersom, P. Lucas, R. Merk, A. Ten-teije et al., Using model checking for critiquing based on clinical guidelines, Artificial Intelligence in Medicine, vol.46, issue.1, pp.19-36, 2009.
DOI : 10.1016/j.artmed.2008.07.007

P. Ramnarayan, G. Roberts, M. Coren, V. Nanduri, A. Tomlinson et al., Assessment of the potential impact of a reminder system on the reduction of diagnostic errors: a quasi-experimental study, BMC Medical Informatics and Decision Making, vol.293, issue.12, p.22, 2006.
DOI : 10.1136/bmj.293.6550.800

M. Peleg, S. Tu, J. Bury, P. Ciccarese, J. Fox et al., Comparing Computer-interpretable Guideline Models: A Case-study Approach, Journal of the American Medical Informatics Association, vol.10, issue.1, pp.52-68, 2003.
DOI : 10.1197/jamia.M1135

D. Sutton and J. Fox, Guideline Modeling Language, Journal of the American Medical Informatics Association, vol.10, issue.5, pp.433-443, 2003.
DOI : 10.1197/jamia.M1264

I. Purves, B. Sugden, N. Booth, and M. Sowerby, The PRODIGY project -the interactive development of the release one model, Proc AMIA Symp, 1999.

M. Peleg, A. Boxwala, S. Tu, Q. Zeng, O. Ogunyemi et al., The InterMed Approach to Sharable Computer-interpretable Guidelines: A Review, Journal of the American Medical Informatics Association, vol.11, issue.1, pp.1-10, 2004.
DOI : 10.1197/jamia.M1399