V. Saini, S. Brownlee, A. G. Elshaug, P. Glasziou, and I. Heath, Addressing overuse and underuse around the world, Lancet, vol.390, pp.105-112, 2017.

S. Brownlee, K. Chalkidou, J. Doust, A. G. Elshaug, P. Glasziou et al., Evidence for overuse of medical services around the world, Lancet, vol.390, p.156, 2017.

A. G. Elshaug, M. B. Rosenthal, J. N. Lavis, S. Brownlee, H. Schmidt et al., Levers for addressing medical underuse and overuse: achieving high-value health care, Lancet, vol.390, pp.191-202, 2017.

P. Glasziou, S. Straus, S. Brownlee, L. Trevena, L. Dans et al., Evidence for underuse of effective medical services around the world, Lancet, vol.390, p.169, 2017.

V. Saini, S. Garcia-armesto, D. Klemperer, V. Paris, A. G. Elshaug et al., Drivers of poor medical care, Lancet, vol.390, pp.178-90, 2017.

L. A. Olsen, D. Aisner, and J. M. Mg, Reports funded by National Institutes of Health, The Learning Healthcare System. Workshop Summary, 2007.

D. K. Owens and D. M. Bravata, Computer-based decision support: wishing on a star?, Eff Clin Pract, vol.4, issue.1, pp.34-42, 2001.

A. Fretheim, S. Flottorp, and A. D. Oxman, Effect of interventions for implementing clinical practice guidelines. Oslo, Norway: Norwegian Knowledge Centre for the Health Services2015

L. Moja, K. H. Kwag, T. Lytras, L. Bertizzolo, L. Brandt et al., Effectiveness of computerized decision support systems linked to electronic health records: a systematic review and meta-analysis, Am J Public Health, vol.104, issue.12, pp.12-22, 2014.

D. Bonetti, M. Johnston, N. B. Pitts, C. Deery, I. Ricketts et al., Knowledge may not be the best target for strategies to influence evidence-based practice: using psychological models to understand RCT effects, Int J Behav Med, vol.16, issue.3, pp.287-93, 2009.

S. A. Flottorp, A. D. Oxman, J. Krause, N. R. Musila, M. Wensing et al., A checklist for identifying determinants of practice: a systematic review and synthesis of frameworks and taxonomies of factors that prevent or enable improvements in healthcare professional practice, Implement Sci, vol.8, p.35, 2013.

P. S. Roshanov, N. Fernandes, J. M. Wilczynski, B. J. Hemens, J. J. You et al., Features of effective computerised clinical decision support systems: meta-regression of 162 randomised trials, BMJ, vol.346, p.657, 2013.

K. Kawamoto, C. A. Houlihan, E. A. Balas, and D. F. 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.765, 2005.

G. Damiani, L. Pinnarelli, S. C. Colosimo, R. Almiento, L. Sicuro et al., The effectiveness of computerized clinical guidelines in the process of care: a systematic review, BMC Health Serv Res, vol.10, issue.2, 2010.

T. K. Nuckols, C. Smith-spangler, S. C. Morton, S. M. Asch, V. M. Patel et al., The effectiveness of computerized order entry at reducing preventable adverse drug events and medication errors in hospital settings: a systematic review and meta-analysis, Syst Rev, vol.3, p.56, 2014.

D. F. Lobach, The road to effective clinical decision support: are we there yet?, BMJ, vol.346, p.1616, 2013.

S. Van-de-velde, P. Roshanov, T. Kortteisto, I. Kunnamo, B. Aertgeerts et al., Tailoring implementation strategies for evidence-based recommendations using computerised clinical decision support systems: protocol for the development of the GUIDES tools, vol.11, p.29, 2016.

B. D. Winters, A. P. Gurses, H. Lehmann, J. B. Sexton, C. J. Rampersad et al., Clinical review: checklists-translating evidence into practice, Crit Care, vol.13, issue.6, p.210, 2009.

B. K. Burian, A. Clebone, K. Dismukes, and K. J. Ruskin, More than a tick box: medical checklist development, design, and use, Anesth Analg, vol.126, issue.1, pp.223-255, 2018.

S. Van-de-velde, T. Kortteisto, D. Spitaels, G. Jamtvedt, P. Roshanov et al., Development of a Tailored Intervention With Computerized Clinical Decision Support to Improve Quality of Care for Patients With Knee Osteoarthritis: Multi-Method Study, e154), vol.7, 2018.

J. S. Ash, D. F. Sittig, K. P. Guappone, R. H. Dykstra, J. Richardson et al., Recommended practices for computerized clinical decision support and knowledge management in community settings: a qualitative study, BMC Med Inform Decis Mak, vol.12, p.6, 2012.

D. W. Bates, G. J. Kuperman, S. Wang, T. Gandhi, A. Kittler et al., Ten commandments for effective clinical decision support: making the practice of evidence-based medicine a reality, J Am Med Inform Assoc, vol.10, issue.6, pp.523-553, 2003.

A. Berlin, M. Sorani, and I. Sim, A taxonomic description of computer-based clinical decision support systems, J Biomed Inform, vol.39, issue.6, pp.656-67, 2006.

J. Coleman and A. Slee, Guidelines for hazard review of eprescribing decision support, 2009.

J. A. Handler, C. F. Feied, K. Coonan, J. Vozenilek, M. Gillam et al., Computerized physician order entry and online decision support, Acad Emerg Med Off J Soc Acad Emerg Med, vol.11, issue.11, pp.1135-1176, 2004.

J. Horsky, G. D. Schiff, D. Johnston, L. Mercincavage, D. Bell et al., Interface design principles for usable decision support: a targeted review of best practices for clinical prescribing interventions, J Biomed Inform, vol.45, issue.6, pp.1202-1218, 2012.

R. A. Jenders, J. A. Osheroff, D. F. Sittig, E. A. Pifer, and J. M. Teich, Recommendations for clinical decision support deployment: synthesis of a roundtable of medical directors of information systems, AMIA Annu Symp Proc, pp.359-63, 2007.

E. Kilsdonk, L. W. Peute, and M. W. Jaspers, Factors influencing implementation success of guideline-based clinical decision support systems: a systematic review and gaps analysis, Int J Med Inform, vol.98, pp.56-64, 2017.

E. Kilsdonk, L. Peute, S. L. Knijnenburg, and M. Jaspers, Factors known to influence acceptance of clinical decision support systems, Stud Health Technol Inform, vol.169, pp.150-154, 2011.

J. L. Mccormack and J. S. Ash, Clinician perspectives on the quality of patient data used for clinical decision support: a qualitative study, AMIA Annu Symp Proc, vol.2012, pp.1302-1311, 2012.

J. A. Osheroff, Healthcare Information and Management Systems Society. Improving outcomes with clinical decision support : an implementer's guide, 2012.

T. H. Payne, L. E. Hines, R. C. Chan, S. Hartman, J. Kapusnik-uner et al., Recommendations to improve the usability of drug-drug interaction clinical decision support alerts, J Am Med Inform Assoc, vol.22, issue.6, pp.1243-50, 2015.

S. Pelayo, R. Marcilly, S. Bernonville, N. Leroy, and M. Beuscart-zephir, Human factors based recommendations for the design of medication related clinical decision support systems (CDSS). Stud Health Technol Inform, vol.169, pp.412-418, 2011.

D. F. Sittig and H. Singh, A new sociotechnical model for studying health information technology in complex adaptive healthcare systems, Qual Saf Health Care, vol.19, issue.3, pp.68-74, 2010.

D. F. Sittig, A. Wright, J. A. Osheroff, B. Middleton, J. M. Teich et al., Grand challenges in clinical decision support, J Biomed Inform, vol.41, issue.2, pp.387-92, 2008.

M. Sweidan, M. Williamson, J. F. Reeve, K. Harvey, O. Neill et al., Identification of features of electronic prescribing systems to support quality and safety in primary care using a modified Delphi process, BMC Med Inform Decis Mak, vol.10, issue.1, p.21, 2010.

J. M. Teich, J. A. Osheroff, E. A. Pifer, D. F. Sittig, R. A. Jenders et al., Clinical decision support in electronic prescribing: recommendations and an action plan: report of the joint clinical decision support workgroup, J Am Med Inform Assoc, vol.12, issue.4, pp.365-76, 2005.

H. Van-der-sijs, J. Aarts, A. Vulto, and M. Berg, Overriding of drug safety alerts in computerized physician order entry, J Am Med Inform Assoc, vol.13, issue.2, pp.138-185, 2006.

A. Wright, J. S. Ash, J. L. Erickson, J. Wasserman, A. Bunce et al., A qualitative study of the activities performed by people involved in clinical decision support: recommended practices for success, J Am Med Inform Assoc, vol.21, issue.3, pp.464-72, 2014.

A. Wright, D. F. Sittig, J. S. Ash, D. W. Bates, J. Feblowitz et al., Governance for clinical decision support: case studies and recommended practices from leading institutions, J Am Med Inform Assoc, vol.18, issue.2, pp.187-94, 2011.

, Improving Medication Use and Outcomes with Clinical Decision Support:: A Step by Step Guide2009: HIMSS

L. Ahmadian, M. Van-engen-verheul, F. Bakhshi-raiez, N. Peek, R. Cornet et al., The role of standardized data and terminological systems in computerized clinical decision support systems: literature review and survey, Int J Med Inform, vol.80, issue.2, pp.81-93, 2011.

B. Mollon, J. Chong, A. M. 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 Med Inform Decis Mak, vol.9, issue.1, p.11, 2009.

T. A. Holt, M. Thorogood, and F. Griffiths, Changing clinical practice through patient specific reminders available at the time of the clinical encounter: systematic review and meta-analysis, J Gen Intern Med, vol.27, issue.8, pp.974-84, 2012.

C. Arditi, M. Rege-walther, J. C. Wyatt, P. Durieux, and B. Burnand, Computer-generated reminders delivered on paper to healthcare professionals: effects on professional practice and health care outcomes, Cochrane Database Syst Rev, vol.12, p.1175, 2012.

G. Damiani, L. Pinnarelli, S. C. Colosimo, R. Almiento, L. Sicuro et al., The effectiveness of computerized clinical guidelines in the process of care: a systematic review, BMC Health Serv Res, vol.10, issue.1, p.2, 2010.

C. L. Fillmore, B. E. Bray, and K. Kawamoto, Systematic review of clinical decision support interventions with potential for inpatient cost reduction, BMC Med Inform Decis Mak, vol.13, issue.1, p.135, 2013.

K. Goddard, A. Roudsari, and J. C. Wyatt, Automation bias: a systematic review of frequency, effect mediators, and mitigators, J Am Med Inform Assoc, vol.19, issue.1, pp.121-128, 2012.

D. Lobach, G. D. Sanders, T. J. Bright, A. Wong, R. Dhurjati et al., Enabling health care decisionmaking through clinical decision support and knowledge management, Evid Rep Technol Assess (Full Rep), vol.203, issue.203, pp.1-784, 2012.

T. K. Nuckols, C. Smith-spangler, S. C. Morton, S. M. Asch, V. M. Patel et al., The effectiveness of computerized order entry at reducing preventable adverse drug events and medication errors in hospital settings: a systematic review and meta-analysis, Syst Rev, vol.3, issue.1, p.56, 2014.

K. G. Shojania, A. Jennings, A. Mayhew, C. Ramsay, M. Eccles et al., Effect of point-of-care computer reminders on physician behaviour: a systematic review, CMAJ, vol.182, issue.5, pp.216-241, 2010.

F. Gillaizeau, E. Chan, L. Trinquart, I. Colombet, R. T. Walton et al., Computerized advice on drug dosage to improve prescribing practice, Cochrane Database Syst Rev, vol.11, p.2894, 2013.
URL : https://hal.archives-ouvertes.fr/hal-01310581

C. L. Goldzweig, G. Orshansky, N. M. Paige, I. M. Miake-lye, J. M. Beroes et al., Electronic health record-based interventions for improving appropriate diagnostic imaging: a systematic review and meta-analysis, Ann Intern Med, vol.162, issue.8, pp.557-65, 2015.

C. Main, T. Moxham, J. C. Wyatt, J. Kay, R. Anderson et al., Computerised decision support systems in order communication for diagnostic, screening or monitoring test ordering: systematic reviews of the effects and costeffectiveness of systems, Health Technol Assess, vol.14, issue.48, pp.1-227, 2010.

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, BMC Health Serv Res, vol.9, p.154, 1990.

A. Schedlbauer, V. Prasad, C. Mulvaney, S. Phansalkar, W. Stanton et al., What evidence supports the use of computerized alerts and prompts to improve clinicians' prescribing behavior?, J Am Med Inform Assoc, vol.16, issue.4, pp.531-539, 2009.

H. Balshem, M. Helfand, H. J. Schunemann, A. D. Oxman, R. Kunz et al., GRADE guidelines: 3. Rating the quality of evidence, J Clin Epidemiol, vol.64, issue.4, pp.401-407, 2011.

R. Goud, M. Van-engen-verheul, N. F. De-keizer, R. Bal, A. Hasman et al., The effect of computerized decision support on barriers to guideline implementation: a qualitative study in outpatient cardiac rehabilitation, Int J Med Inform, vol.79, issue.6, pp.430-437, 2010.

J. D. Martens, A. Van-der-aa, B. Panis, T. Van-der-weijden, R. A. Winkens et al., Design and evaluation of a computer reminder system to improve prescribing behaviour of GPs, Stud Health Technol Inform, vol.124, pp.617-640, 2006.

S. S. Tai, I. Nazareth, C. Donegan, and A. Haines, Evaluation of general practice computer templates. Lessons from a pilot randomised controlled trial, Methods Inf Med, vol.38, issue.3, pp.177-81, 1999.

L. Mcdermott, Y. L. Little, P. Van-staa, T. Dregan, A. Mccann et al., Process evaluation of a point-of-care cluster randomised trial using a computer-delivered intervention to reduce antibiotic prescribing in primary care, BMC Health Serv Res, vol.14, p.594, 2014.

A. Miller, B. Moon, S. Anders, R. Walden, S. Brown et al., Integrating computerized clinical decision support systems into clinical work: a meta-synthesis of qualitative research, Int J Med Inform, vol.84, issue.12, pp.1009-1027, 2015.

S. L. Ackerman, R. Gonzales, M. S. Stahl, and J. P. Metlay, One size does not fit all: evaluating an intervention to reduce antibiotic prescribing for acute bronchitis, BMC Health Serv Res, vol.13, issue.1, p.462, 2013.

M. Lugtenberg, J. W. Weenink, T. Van-der-weijden, G. P. Westert, and R. B. Kool, Implementation of multiple-domain covering computerized decision support systems in primary care: a focus group study on perceived barriers, BMC Med Inform Decis Mak, vol.15, p.82, 2015.

S. Flottorp, K. Havelsrud, and A. D. Oxman, Process evaluation of a cluster randomized trial of tailored interventions to implement guidelines in primary care-why is it so hard to change practice?, Fam Pract, vol.20, issue.3, pp.333-342, 2003.

B. Keeffe, U. Subramanian, W. M. Tierney, E. Udris, J. Willems et al., Provider response to computer-based care suggestions for chronic heart failure, Med Care, vol.43, issue.5, pp.461-466, 2005.

A. Moxey, J. Robertson, D. Newby, I. Hains, M. Williamson et al., Computerized clinical decision support for prescribing: provision does not guarantee uptake, J Am Med Inform Assoc, vol.17, issue.1, pp.25-33, 2010.

C. L. Roumie, T. A. Elasy, K. A. Wallston, S. Pratt, R. A. Greevy et al., Clinical inertia: a common barrier to changing provider prescribing behavior, Jt Comm J Qual Patient Saf, vol.33, issue.5, pp.277-85, 2007.

B. J. Wilson, N. Torrance, J. Mollison, M. S. Watson, A. Douglas et al., Cluster randomized trial of a multifaceted primary care decision-support intervention for inherited breast cancer risk, Fam Pract, vol.23, issue.5, pp.537-581, 2006.

W. M. Tierney, M. E. Miller, J. M. Overhage, and C. J. Mcdonald, Physician inpatient order writing on microcomputer workstations. Effects on resource utilization, JAMA, vol.269, issue.3, pp.379-83, 1993.

H. E. Bloomfield, D. B. Nelson, M. Van-ryn, B. J. Neil, N. J. Koets et al., A trial of education, prompts, and opinion leaders to improve prescription of lipid modifying therapy by primary care physicians for patients with ischemic heart disease. Qual Saf Health Care, vol.14, pp.258-63, 2005.

W. M. Tierney, J. M. Overhage, M. D. Murray, L. E. Harris, X. H. Zhou et al., Can computer-generated evidence-based care suggestions enhance evidence-based management of asthma and chronic obstructive pulmonary disease? A randomized, controlled trial, Health Serv Res, vol.40, issue.2, pp.477-97, 2005.

F. D. Hobbs, B. C. Delaney, A. Carson, and J. E. Kenkre, A prospective controlled trial of computerized decision support for lipid management in primary care, Fam Pract, vol.13, issue.2, pp.133-140, 1996.

M. Apkon, J. A. Mattera, Z. Lin, J. Herrin, E. H. Bradley et al., A randomized outpatient trial of a decision-support information technology tool, Arch Intern Med, vol.165, issue.20, pp.2388-94, 2005.

T. D. Sequist, T. K. Gandhi, A. S. Karson, J. M. Fiskio, D. Bugbee et al., A randomized trial of electronic clinical reminders to improve quality of care for diabetes and coronary artery disease, J Am Med Inform Assoc, vol.12, issue.4, pp.431-438, 2005.

M. Eccles, E. Mccoll, N. Steen, N. Rousseau, J. Grimshaw et al., Effect of computerised evidence based guidelines on management of asthma and angina in adults in primary care: cluster randomised controlled trial, BMJ, vol.325, issue.7370, p.941, 2002.

I. Hetlevik, J. Holmen, O. Kruger, P. Kristensen, and H. Iversen, Implementing clinical guidelines in the treatment of hypertension in general practice, Blood Press, vol.7, issue.5-6, pp.270-276, 1998.

R. J. Fortuna, F. Zhang, D. Ross-degnan, F. X. Campion, J. A. Finkelstein et al., Reducing the prescribing of heavily marketed medications: a randomized controlled trial, J Gen Intern Med, vol.24, issue.8, pp.897-903, 2009.

C. Mccowan, R. G. Neville, I. W. Ricketts, F. C. Warner, G. Hoskins et al., Lessons from a randomized controlled trial designed to evaluate computer decision support software to improve the management of asthma, Med Inform Internet Med, vol.26, issue.3, pp.191-201, 2001.

R. Bindels, A. Hasman, M. Derickx, J. Van-wersch, and R. Winkens, User satisfaction with a real-time automated feedback system for general practitioners: a quantitative and qualitative study, Int J Qual Health Care, vol.15, issue.6, pp.501-509, 2003.

M. Lugtenberg, D. Pasveer, T. Van-der-weijden, G. P. Westert, and R. B. Kool, Exposure to and experiences with a computerized decision support intervention in primary care: results from a process evaluation, BMC Fam Pract, vol.16, issue.1, p.141, 2015.

B. L. Rotman, A. N. Sullivan, T. W. Mcdonald, B. W. Brown, P. Desmedt et al., A randomized controlled trial of a computer-based physician workstation in an outpatient setting: implementation barriers to outcome evaluation, J Am Med Inform Assoc, vol.3, issue.5, pp.340-348, 1996.

A. Fretheim, K. Havelsrud, and A. Oxman, Rational Prescribing in Primary care (RaPP): process evaluation of an intervention to improve prescribing of antihypertensive and cholesterol-lowering drugs, Implement Sci, vol.1, issue.1, p.19, 2006.

M. W. Semler, L. Weavind, M. H. Hooper, T. W. Rice, S. S. Gowda et al., An electronic tool for the evaluation and treatment of sepsis in the ICU: a randomized controlled trial, Crit Care Med, vol.43, issue.8, pp.1595-602, 2015.

R. Bindels, A. Hasman, J. W. Van-wersch, J. Talmon, and R. A. Winkens, Evaluation of an automated test ordering and feedback system for general practitioners in daily practice, Int J Med Inform, vol.73, issue.9, pp.705-717, 2004.

F. C. Bourgeois, J. Linder, S. A. Johnson, J. P. Co, J. Fiskio et al., Impact of a computerized template on antibiotic prescribing for acute respiratory infections in children and adolescents, Clin Pediatr (Phila), vol.49, issue.10, pp.976-83, 2010.

R. E. El-kareh, T. K. Gandhi, E. G. Poon, L. P. Newmark, J. Ungar et al., Actionable reminders did not improve performance over passive reminders for overdue tests in the primary care setting, J Am Med Inform Assoc, vol.18, issue.2, pp.160-163, 2011.

K. D. Barnard, S. Cradock, T. Parkin, and T. C. Skinner, Effectiveness of a computerised assessment tool to prompt individuals with diabetes to be more active in consultations, Pract Diabetes Int, vol.24, issue.1, p.6, 2007.

E. Keely, H. Clark, A. Karovitch, and I. Graham, Screening for type 2 diabetes following gestational diabetes: family physician and patient perspectives, Can Fam Physician, vol.56, issue.6, pp.558-63, 2010.

K. B. Johnson, Y. X. Ho, C. M. Cala, and C. Davison, Showing your work: impact of annotating electronic prescriptions with decision support results, J Biomed Inform, vol.43, issue.2, pp.321-326, 2010.

N. D. Lin, S. B. Martins, A. S. Chan, R. W. Coleman, H. B. Bosworth et al., Identifying barriers to hypertension guideline adherence using clinician feedback at the point of care, AMIA Annu Symp Proc, pp.494-502, 2006.

J. Ross, F. Stevenson, R. Lau, and E. Murray, Factors that influence the implementation of e-health: a systematic review of systematic reviews (an update), Implement Sci, vol.11, issue.1, p.146, 2016.

H. W. Wu, P. K. Davis, and D. S. Bell, Advancing clinical decision support using lessons from outside of healthcare: an interdisciplinary systematic review, BMC Med Inform Decis Mak, vol.12, p.90, 2012.

N. Delvaux, D. Sutter, A. Van-de-velde, S. Ramaekers, D. Fieuws et al., Electronic laboratory medicine ordering with evidence-based order sets in primary care (ELMO study): protocol for a cluster randomised trial, Implement Sci, vol.12, issue.1, p.147, 2017.

M. Peleg, Computer-interpretable clinical guidelines: a methodological review, J Biomed Inform, vol.46, issue.4, pp.744-63, 2013.

M. Egan, C. Bambra, M. Petticrew, and M. Whitehead, Reviewing evidence on complex social interventions: appraising implementation in systematic reviews of the health effects of organisational-level workplace interventions, J Epidemiol Community Health, vol.63, issue.1, pp.4-11, 2009.

S. Lewin, C. Glenton, H. Munthe-kaas, B. Carlsen, C. J. Colvin et al., Using qualitative evidence in decision making for health and social interventions: an approach to assess confidence in findings from qualitative evidence syntheses (GRADE-CERQual), PLoS Med, vol.12, issue.10, p.1001895, 2015.

L. Cambon, L. Minary, V. Ridde, and A. F. , A tool to analyze the transferability of health promotion interventions, BMC Public Health, vol.13, p.1184, 2013.
URL : https://hal.archives-ouvertes.fr/inserm-00922513

J. Brender, J. Talmon, N. De-keizer, P. Nykanen, M. Rigby et al., STARE-HI-Statement on Reporting of Evaluation Studies in Health Informatics: explanation and elaboration, Appl Clin Inform, vol.4, issue.3, pp.331-58, 2013.

D. L. Fixsen, K. A. Blase, M. A. Duda, S. F. Naoom, and M. Van-dyke, Implementation of evidence-based treatments for children and adolescents: research findings and their implications for the future, pp.435-50, 2010.