D. Comparaison, . Index, .. De-l-'utilisation-globale, . Du, . De et al., 183 TABLEAU 5, RESUME LES VALEURS DES COEFFICIENTS D'INTERACTION SYSTEME, vol.5121731213, issue.6, pp.219-225, 0198.

L. Potentiel, D. Technologique, . Profession, S. Par, . Factorielle et al., 259 TABLEAU 6 259 TABLEAU 6, TABLEAU 6, p.272, 2002.

L. Attentes, E. De-developpement, E. De-developpement, E. Ariane, I. Aupres-des-medecins-du et al., 277 TABLEAU 6, TABLEAU 6, p.283

C. Des, . Des, . Medecins, . Site, and O. Questions, 287 TABLEAU 6, TABLEAU 6.47: RESUME, pp.291-62, 0392.

E. Aarts, J. Koppel, and R. , Implementation Of Computerized Physician Order Entry In Seven Countries, Health Affairs, vol.28, issue.2, pp.404-418, 2009.
DOI : 10.1377/hlthaff.28.2.404

D. Adams, R. Nelson, and P. Todd, Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication, MIS Quarterly, vol.16, issue.2, pp.227-247, 1992.
DOI : 10.2307/249577

R. Agarwal and J. Prasad, The Role of Innovation Characteristics and Perceived Voluntariness in the Acceptance of Information Technologies, Decision Sciences, vol.7, issue.2, pp.557-582, 1997.
DOI : 10.1111/1540-5885.920148

V. Aggelidis and P. Chatzoglou, Using a modified technology acceptance model in hospitals, International Journal of Medical Informatics, vol.78, issue.2, pp.115-141, 2009.
DOI : 10.1016/j.ijmedinf.2008.06.006

I. Ajzen and M. Fishbein, Understanding attitudes and predicting social behavior, 1980.

I. Ajzen, The theory of planned behavior, Organizational Behavior and Human Decision Processes, vol.50, issue.2, pp.179-211, 1991.
DOI : 10.1016/0749-5978(91)90020-T

E. Ammenwerth and F. Ehlers, Systems analysis in health care: framework and example, Methods Inf Med, vol.41, issue.2, pp.134-174, 2002.

E. Ammenwerth and S. Graber, Evaluation of health information systems???problems and challenges, International Journal of Medical Informatics, vol.71, issue.2-3, pp.125-160, 2003.
DOI : 10.1016/S1386-5056(03)00131-X

E. Ammenwerth and F. Kaiser, Evaluation of user acceptance of information systems in health care--the value of questionnaires, Stud Health Technol Inform, vol.95, pp.643-651, 2003.

E. Ammenwerth and U. Mansmann, Factors Affecting and Affected by User Acceptance of Computer-based Nursing Documentation: Results of a Two-year Study, Journal of the American Medical Informatics Association, vol.10, issue.1, pp.69-84, 2003.
DOI : 10.1197/jamia.M1118

E. Ammenwerth and C. Iller, IT-adoption and the interaction of task, technology and individuals: a fit framework and a case study, BMC Medical Informatics and Decision Making, vol.72, issue.2, p.3, 2006.
DOI : 10.1136/jamia.1997.0040112

J. Anderson and D. Gerbing, Structural equation modeling in practice: A review and recommended two-step approach., Psychological Bulletin, vol.103, issue.3, pp.411-423, 1988.
DOI : 10.1037/0033-2909.103.3.411

J. Ash, Organizational Factors that Influence Information Technology Diffusion in Academic Health Sciences Centers, Journal of the American Medical Informatics Association, vol.4, issue.2, pp.102-109, 1997.
DOI : 10.1136/jamia.1997.0040102

J. Ash and J. Anderson, Managing Change: Analysis of a Hypothetical Case, Journal of the American Medical Informatics Association, vol.7, issue.2, pp.125-134, 2000.
DOI : 10.1136/jamia.2000.0070125

J. Ash and L. Fournier, Principles for a successful computerized physician order entry implementation, AMIA Annu Symp, vol.Proc, pp.36-40, 2003.

J. Ash and P. N. Gorman, A Cross-site Qualitative Study of Physician Order Entry, Journal of the American Medical Informatics Association, vol.10, issue.2, pp.188-200, 2003.
DOI : 10.1197/jamia.M770

J. Ash and P. Gorman, Computerized Physician Order Entry in U.S. Hospitals: Results of a 2002 Survey, Journal of the American Medical Informatics Association, vol.11, issue.2, pp.95-99, 2004.
DOI : 10.1197/jamia.M1427

J. Ash and D. Bates, Factors and Forces Affecting EHR System Adoption: Report of a 2004 ACMI Discussion, Journal of the American Medical Informatics Association, vol.12, issue.1, pp.8-12, 2005.
DOI : 10.1197/jamia.M1684

J. Bailey and S. Pearson, Development of a Tool for Measuring and Analyzing Computer User Satisfaction, Management Science, vol.29, issue.5, pp.530-545, 1983.
DOI : 10.1287/mnsc.29.5.530

A. Bandura, Self-efficacy: Toward a unifying theory of behavioral change, Psychological Review, issue.84, pp.191-215, 1977.

A. Bandura, Self-efficacy mechanism in human agency., American Psychologist, vol.37, issue.2, pp.122-147, 1982.
DOI : 10.1037/0003-066X.37.2.122

A. Bandura, Social Foundations of Thought and Action, Englewood CliffsN.J, 1986.
DOI : 10.4135/9781446221129.n6

A. Bandura, Auto-efficacité (le sentiment d'eficacité personnelle, 2003.

H. Barki and J. Hartwick, User Participation, Conflict, and Conflict Resolution: The Mediating Roles of Influence, Information Systems Research, vol.5, issue.4, pp.422-438, 1994.
DOI : 10.1287/isre.5.4.422

D. Bates and E. Pappius, Using information systems to measure and improve quality, International Journal of Medical Informatics, vol.53, issue.2-3, pp.115-139, 1999.
DOI : 10.1016/S1386-5056(98)00152-X

D. Bates and J. M. Teich, The Impact of Computerized Physician Order Entry on Medication Error Prevention, Journal of the American Medical Informatics Association, vol.6, issue.4, pp.313-334, 1999.
DOI : 10.1136/jamia.1999.00660313

D. Bates, Computerized physician order entry and medication errors: Finding a balance, Journal of Biomedical Informatics, vol.38, issue.4, pp.259-61, 2005.
DOI : 10.1016/j.jbi.2005.05.003

E. Berner and J. Moss, Informatics Challenges for the Impending Patient Information Explosion, Journal of the American Medical Informatics Association, vol.12, issue.6, pp.614-621, 2005.
DOI : 10.1197/jamia.M1873

M. C. and S. Pelayo, Impact of CPOE on doctornurse cooperation for the medication ordering and administration process, Int J Med Inform, vol.74, pp.7-8, 2005.

P. Davies and M. Lloyd-williams, When health information systems fail, Top Health Inf Manage, vol.20, issue.1, pp.66-79, 1999.

A. Bhattacherjee, Understanding Information Systems Continuance: An Expectation-Confirmation Model, MIS Quarterly, vol.25, issue.3, pp.351-370, 2001.
DOI : 10.2307/3250921

A. Bhattacherjee, An empirical analysis of the antecedents of electronic commerce service continuance, Decision Support Systems, vol.32, issue.2, pp.201-214, 2001.
DOI : 10.1016/S0167-9236(01)00111-7

J. Brancheau and J. Wetherby, The Adoption of Spreadsheet Software: Testing Innovation Diffusion Theory in the Context of End-User Computing, Information Systems Research, vol.1, issue.2, pp.115-143, 1990.
DOI : 10.1287/isre.1.2.115

J. Brender, Methodology for assessment of medical IT-based system -in an organizational context, Amsterdam: IOS Press. Stud Health Technol Inform, 1997.

J. Brender, Handbook of evaluation methods for health informatics, pp.10-10, 2006.

G. Broun-2002-]-broun, Le plateau technique médical à l'hôpital, p.2747203298, 2002.

[. , A. Gs, and . Hubona, The mediation of external variables in the technology acceptance model, Information & Management, vol.43, issue.6, pp.706-717, 2006.

[. , A. Dw, and J. Straub, Reconceptualizing System Usage: An Approach and Empirical Test, Information Systems Research, vol.17, issue.3, pp.228-246, 2006.

P. Chau and P. Hu, Information Technology Acceptance by Individual Professionals: A Model Comparison Approach, Decision Sciences, vol.27, issue.3, pp.699-719, 2001.
DOI : 10.2307/3250981

P. Chau and P. Hu, Investigating healthcare professionals??? decisions to accept telemedicine technology: an empirical test of competing theories, Information & Management, vol.39, issue.4, pp.297-311, 2002.
DOI : 10.1016/S0378-7206(01)00098-2

P. Chau and P. Hu, Examining a model of information technology acceptance by individual professionals: An exploratory study, Journal of Management Information Systems, vol.18, issue.4, pp.191-229, 2002.

G. Chismar and S. Wiley-patton, Does the extended technology acceptance model apply to physicians, 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the, 2002.
DOI : 10.1109/HICSS.2003.1174354

D. Compeau and C. Higgins, Computer Self-Efficacy: Development of a Measure and Initial Test, MIS Quarterly, vol.19, issue.2, pp.189-211, 1995.
DOI : 10.2307/249688

. Contandriopoulos and . Ap, Savoir préparer une recherche, Montréal, pp.37-38, 1990.

R. Cooper and R. Zmud, Information Technology Implementation Research: A Technological Diffusion Approach, Management Science, vol.36, issue.2, 1990.
DOI : 10.1287/mnsc.36.2.123

M. Cordero, M. Steiner, and A. Spruyt, Contraceptive film acceptability study: The Dominican Republic, 1993.

R. Cullen, Perspectives on User Satisfaction Surveys, Library Trends, vol.49, issue.4, pp.662-686, 2001.

F. Davis, Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology, MIS Quarterly, vol.13, issue.3, pp.319-340, 1989.
DOI : 10.2307/249008

F. Davis, . Rp, and . Bagozzi, What Do Intention Scales Measure?, The Journal of General Psychology, vol.2, issue.4, pp.391-407, 1992.
DOI : 10.1016/0022-1031(85)90017-4

F. Davis, . Rp, and . Bagozzi, Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1, Journal of Applied Social Psychology, vol.4, issue.14, pp.1111-1132, 1992.
DOI : 10.1037/h0040934

F. Davis, User acceptance of information technology: system characteristics, user perceptions and behavioral impacts, International Journal of Man-Machine Studies, vol.38, issue.3, pp.475-487, 1993.
DOI : 10.1006/imms.1993.1022

F. Davis and R. Cosenza, Business research for decision making, 1993.

F. D. Davis and V. Venkatesh, A critical assessment of potential measurement biases in the technology acceptance model: three experiments, International Journal of Human-Computer Studies, vol.45, issue.1, pp.19-45, 1996.
DOI : 10.1006/ijhc.1996.0040

M. Day and G. Demiris, Exploring Underutilization of Videophones in Hospice Settings, Telemedicine and e-Health, vol.13, issue.1, pp.25-32, 2007.
DOI : 10.1089/tmj.2006.0023

W. Delone and E. Mclean, Information Systems Success: The Quest for the Dependent Variable, Information Systems Research, vol.3, issue.1, pp.60-95, 1992.
DOI : 10.1287/isre.3.1.60

W. Delone and E. Mclean, The DeLone and McLean Model of Information Systems Success: A Ten-Year Update, Journal of Management Information Systems, vol.19, issue.4, pp.9-30, 2003.

X. Deng, . Wj, and . Doll, A multi-group analysis of structural invariance: an illustration using the technology acceptance model, Information & Management, vol.42, issue.5, pp.745-759, 2005.
DOI : 10.1016/j.im.2004.08.001

C. Despont-gros-2005a-]-despont-gros and C. Boeuf, The Digital Pen and Paper Technology: Implementation and Use in an Existing Clinical Information System, Stud Health Technol Inform, vol.116, pp.328-333, 2005.

C. Despont-gros-2005b-]-despont-gros and R. Landau, The digital pen and paper. Evaluation and acceptance of a new data acquisition device in clinical settings, Methods Inf Med, vol.44, issue.3, pp.359-68, 2005.

C. Despont-gros-2005c-]-despont-gros and H. Mueller, Evaluating user interactions with clinical information systems: A model based on human???computer interaction models, Journal of Biomedical Informatics, vol.38, issue.3, pp.244-55, 2005.
DOI : 10.1016/j.jbi.2004.12.004

C. Despont-gros and O. Rutschmann, Acceptance and cognitive load in a clinical setting of a novel device allowing natural real-time data acquisition, International Journal of Medical Informatics, vol.76, issue.11-12, 2006.
DOI : 10.1016/j.ijmedinf.2006.11.001

M. Dishaw, . Dm, and . Strong, Extending the technology acceptance model with task???technology fit constructs, Information & Management, vol.36, issue.1, pp.9-21, 1999.
DOI : 10.1016/S0378-7206(98)00101-3

D. R. Dixon, The behavioral side of information technology, International Journal of Medical Informatics, vol.56, issue.1-3, pp.1-3, 1999.
DOI : 10.1016/S1386-5056(99)00037-4

W. J. Doll and G. Torkzadeh, The Measurement of End-User Computing Satisfaction, MIS Quarterly, vol.12, issue.2, pp.258-274, 1988.
DOI : 10.2307/248851

W. J. Doll and A. Hendrickson, Using Davis's Perceived Usefulness and Ease-of-use Instruments for Decision Making: A Confirmatory and Multigroup Invariance Analysis, Decision Sciences, vol.25, issue.5, pp.839-869, 1998.
DOI : 10.1108/09593849410074061

B. Engaras, Information technology should make health care safer and better. But there is still a long way to go, Lakartidningen, vol.103, issue.9, pp.626-633, 2006.

J. Evrard, B. Pras, and E. Roux, Etude et recherche en marketing, 1993.

J. Fermanian, [Evaluating correctly the validity of a rating scale: the numerous pitfalls to avoid]. Rev Epidemiol Sante Publique, pp.278-86, 1996.

R. G. Fichman, Going Beyond the Dominant Paradigm for Information Technology Innovation Research: Emerging concepts and methods, Journal of the AIS, vol.5, issue.8, pp.314-355, 2004.

M. Fishbein and I. Azjen, Belief, attitude, intentions, and behavior: An introduction to theory and research, 1975.

M. Furukawa, T. Raghu, T. Spaulding, and A. Vinze, Adoption Of Health Information Technology For Medication Safety In U.S. Hospitals, 2006, Health Affairs, vol.27, issue.3, pp.865-75, 2008.
DOI : 10.1377/hlthaff.27.3.865

M. P. Gagnon and G. Godin, An adaptation of the theory of interpersonal behaviour to the study of telemedicine adoption by physicians, International Journal of Medical Informatics, vol.71, issue.2-3, pp.103-118, 2003.
DOI : 10.1016/S1386-5056(03)00094-7

M. Gagnon, N. Shaw, and C. Sicotte, Users' perspectives of barriers and facilitators to implementing EHR in Canada: A study protocol, Implementation Science, vol.65, issue.1, p.20, 2009.
DOI : 10.1016/S1386-5056(01)00223-4

D. Gefen, . Straub, D. Mc-boudreau-gefen, and E. Karahanna, Structural equation modeling and regression:Guideline for research practice " Communications of the Association for Information SystemTrust and TAM in online shopping: An integrated model, MISQ Quarterly, vol.27, issue.1, pp.51-90, 2000.

J. Glaser, The strategic application of information technology in health care organizations, 2002.

D. L. Goodhue, Understanding User Evaluations of Information Systems, Management Science, vol.41, issue.12, p.1827, 1995.
DOI : 10.1287/mnsc.41.12.1827

D. L. Goodhue and R. L. Thompson, Task-Technology Fit and Individual Performance, MIS Quarterly, vol.19, issue.2, pp.213-236, 1995.
DOI : 10.2307/249689

D. L. Goodhue, Development and Measurement Validity of a Task-Technology Fit Instrument for User Evaluations of Information System, Decision Sciences, vol.9, issue.2, pp.105-143, 1998.
DOI : 10.1177/014920638701300109

D. L. Goodhue, Development and Measurement Validity of a Task-Technology Fit Instrument for User Evaluations of Information System, Decision Sciences, vol.9, issue.2, pp.105-138, 1998.
DOI : 10.1177/014920638701300109

P. Gurviez and M. Korchia, Proposition d'une echelle de mesure multidimensionnelle de la confiance dans la marque, Recherche et Applications en Marketing, vol.17, issue.3, pp.1-21, 2002.
DOI : 10.1177/076737010201700304

J. F. Hair, R. E. Anderson, R. L. Tatham, and W. C. Black, Multivariate Data Analysis with readings, 1998.

J. Hartwick and H. Barki, Explaining the Role of User Participation in Information System Use, Management Science, vol.40, issue.4, pp.440-465, 1994.
DOI : 10.1287/mnsc.40.4.440

D. Sen and L. Hsiangchu, Exploring usage continuance of enegotiation systems: expectation and disconfirmation approach, Group Decision and Negotiation, 2007.

M. Hsu and C. Yen, A longitudinal investigation of continued online shopping behavior: An extension of the theory of planned behavior, International Journal of Human-Computer Studies, vol.64, issue.9, pp.889-904, 2006.
DOI : 10.1016/j.ijhcs.2006.04.004

P. J. Hu, P. Y. Chau, O. R. Sheng, and K. Y. Tam, Examining the Technology Acceptance Model Using Physician Acceptance of Telemedicine Technology, Journal of Management Information Systems, vol.12, issue.4, pp.91-112, 1999.
DOI : 10.1258/1357633961929790

J. Hulland and S. , Use of partial least squares (PLS) in strategic management research: a review of four recent studies, Strategic Management Journal, vol.24, issue.2, pp.195-204, 1999.
DOI : 10.1002/(SICI)1097-0266(199902)20:2<195::AID-SMJ13>3.0.CO;2-7

M. Tan, The consequences of information technology acceptance on subsequent individual performance, Information & Management, vol.32, issue.3, pp.113-121, 1997.

A. Jeyaraj and J. W. Rottman, A review of the predictors, linkages, and biases in IT innovation adoption research, Journal of Information Technology, vol.9, issue.2, pp.1-23, 2006.
DOI : 10.1057/palgrave.jit.2000056

A. Jha, C. Desroches, and E. Campbell, Use of Electronic Health Records in U.S. Hospitals, New England Journal of Medicine, vol.360, issue.16, pp.1628-1666, 2009.
DOI : 10.1056/NEJMsa0900592

S. Jones and J. Moss, Computerized Provider Order Entry, JONA: The Journal of Nursing Administration, vol.36, issue.3, pp.136-145, 2006.
DOI : 10.1097/00005110-200603000-00007

J. Judge and T. S. Field, Prescribers' Responses to Alerts During Medication Ordering in the Long Term Care Setting, Journal of the American Medical Informatics Association, vol.13, issue.4, 2006.
DOI : 10.1197/jamia.M1945

E. Karahanna, D. W. Straub, and N. L. Chervany, Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs, MIS Quarterly, vol.23, issue.2, pp.183-213, 1999.
DOI : 10.2307/249751

E. Karahanna, R. Agarwal, and C. Angst, Reconceptualizing Compatibility Beliefs in Technology Acceptance, MIS Quarterly, vol.30, issue.4, pp.781-804, 2006.

J. Karimi and T. M. Somers, Impact of Environmental Uncertainty and Task Characteristics on User Satisfaction with Data, Information Systems Research, vol.15, issue.2, pp.175-193, 2004.
DOI : 10.1287/isre.1040.0022

H. Kéfi and M. Kalika, Evaluation des systèmes d'information: une perspective organisationnelle, Economica ISBN 2-7178-4886-XKey functional characteristics in designing and operating health information websites for user satisfaction: An application of the extended technology acceptance model, International Journal of Medical Informatics In Press, p.77, 2004.

J. Kim and D. W. Bates, Results of a survey on medical error reporting systems in Korean hospitals, International Journal of Medical Informatics, vol.75, issue.2, pp.148-55, 2006.
DOI : 10.1016/j.ijmedinf.2005.06.005

W. R. King and J. He, A meta-analysis of the technology acceptance model, Information & Management, vol.43, issue.6, pp.740-755, 2006.
DOI : 10.1016/j.im.2006.05.003

R. B. Kline, Principles and practice of structural equation modeling, 2005.

I. M. Klopping and E. Mckinney, Extending the Technology Acceptance Model and the Task-Technology Fit Model to Consumer E- Commerce, Information Technology, Learning & Performance Journal, vol.22, issue.1, pp.35-48, 2004.

R. Kukafka and S. B. Johnson, Grounding a new information technology implementation framework in behavioral science: a systematic analysis of the literature on IT use, Journal of Biomedical Informatics, vol.36, issue.3, pp.218-245, 2003.
DOI : 10.1016/j.jbi.2003.09.002

]. R. Kumar, . Sage, T. H. Kwon, R. W. Zmud-laerum, H. et al., Research Methodology, Bmj, vol.323, issue.7325, pp.1344-1352, 1987.
DOI : 10.1007/978-981-287-694-2_4

H. Laerum and A. Faxvaag, Task-oriented evaluation of electronic medical records systems: development and validation of a questionnaire for physicians, BMC Medical Informatics and Decision Making, vol.13, issue.2, p.1, 2004.
DOI : 10.1007/978-1-4757-2685-5

H. Laerum and T. H. Karlsen, Use of and attitudes to a hospital information system by medical secretaries, nurses and physicians deprived of the paper-based medical record: a case reportA study of hotel employee behavioral intentions towards adoption of information technology, BMC Med Inform Decis Mak International Journal of Hospitality Management, vol.4, issue.261, pp.49-65, 2004.

L. Lapointe, L'adoption de systèmes d'information cliniques par les médecins et les infirmières : Une étude des variables individuelles, sociopolitiques et organisationnelles, pp.1-444, 1999.

L. Lapointe and S. Rivard, Clinical information systems: understanding and preventing their premature demise, Healthc Q, vol.8, issue.2, pp.92-100, 2005.

L. Lapointe and S. Rivard, A multilevel model of resistance to information technology implementation, MIS Quarterly, vol.29, issue.3, pp.461-491, 2005.

L. Roux, B. Lee, F. , and J. M. Teich, Urbanisation et modernisation du SIImplementation of physician order entry: user satisfaction and self-reported usage patterns, J Am Med Inform Assoc, vol.3, issue.1, pp.2746208857-42, 1996.

H. Lee, Y. Lee, and D. Yoo, The determinants of perceived service quality and its relationship with satisfaction, Journal of Services Marketing, vol.14, issue.3, pp.217-228, 2000.
DOI : 10.1108/08876040010327220

Y. A. Lee, R. T. Kai, and . Larsen, The Technology Acceptance Model: Past, Présent and Future, Communications of the Association for Information Systems, vol.12, issue.50, pp.752-780, 2003.

C. Lee and H. K. Cheng, An empirical study of mobile commerce in insurance industry: Task???technology fit and individual differences, Decision Support Systems, vol.43, issue.1, pp.95-110, 2007.
DOI : 10.1016/j.dss.2005.05.008

P. Lehoux and C. Sicotte, The theory of use behind telemedicine:, Social Science & Medicine, vol.54, issue.6, pp.889-904, 2002.
DOI : 10.1016/S0277-9536(01)00063-6

K. Lewin, Field theory in social science; selected theoretical papers, 1951.

C. Liao and J. Chen, Theory of planning behavior (TCP) and customer satisfaction in the continued use of e-service: An integrated model, Computers in Human Behavior In Press, Corrected Proof, p.864, 2006.

C. S. Lin and S. Wu, Integrating perceived playfulness into expectation-confirmation model for web portal context, Information & Management, vol.42, issue.5, pp.683-693, 2005.
DOI : 10.1016/j.im.2004.04.003

R. C. Maccallum, M. Browne, and H. Sugawara, Power analysis and determination of sample size for covariance structure modeling., Psychological Methods, vol.1, issue.2, pp.130-149, 1996.
DOI : 10.1037/1082-989X.1.2.130

M. L. Markus, Power, politics, and MIS implementation, Communications of the ACM, vol.26, issue.6, pp.430-444, 1983.
DOI : 10.1145/358141.358148

J. Marshall, Acceptability of fertility regulating methods: Designing technology to fit people, Preventive Medicine, vol.6, issue.1, pp.65-73, 1977.
DOI : 10.1016/0091-7435(77)90005-6

K. Masters, For what purpose and reasons do doctors use the Internet: A systematic review, International Journal of Medical Informatics, vol.77, issue.1, 2006.
DOI : 10.1016/j.ijmedinf.2006.10.002

K. Mathieson, Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior, Information Systems Research, vol.2, issue.3, pp.173-191, 1991.
DOI : 10.1287/isre.2.3.173

K. Mathieson and M. Keil, Beyond the interface: Ease of use and task/technology fit, Information & Management, vol.34, issue.4, pp.221-230, 1998.
DOI : 10.1016/S0378-7206(98)00058-5

K. Mathieson and E. Peacock, Extending the technology acceptance model, ACM SIGMIS Database, vol.32, issue.3, p.86, 2001.
DOI : 10.1145/506724.506730

C. J. Mcdonald, The Barriers to Electronic Medical Record Systems and How to Overcome Them, Journal of the American Medical Informatics Association, vol.4, issue.3, pp.213-234, 1997.
DOI : 10.1136/jamia.1997.0040213

N. P. Melone, A Theoretical Assessment of the User-Satisfaction Construct in Information Systems Research, Management Science, vol.36, issue.1, pp.76-91, 1990.
DOI : 10.1287/mnsc.36.1.76

H. H. Meng and M. C. Chao, Determinants of continued use of the WWW: an integration of two theoretical models, Industrial Management & Data Systems, vol.104, pp.766-775, 2004.

B. Middleton and W. E. Hammond, Accelerating U.S. EHR Adoption: How to Get There From Here. Recommendations Based on the 2004 ACMI Retreat, Journal of the American Medical Informatics Association, vol.12, issue.1, pp.13-22, 2005.
DOI : 10.1197/jamia.M1669

R. Miller, D. Amato, K. Oliva, and N. , California's Digital Divide: Clinical Information Systems For The Haves And Have-Nots, Health Affairs, vol.28, issue.2, pp.505-516, 2009.
DOI : 10.1377/hlthaff.28.2.505

G. C. Moore and I. Benbasat, Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation, Information Systems Research, vol.2, issue.3, pp.192-222, 1991.
DOI : 10.1287/isre.2.3.192

]. C. Morley, J. Hugues, B. Leblanc, and O. Hugues, Processus métiers et systèmes d'information (2e édition) Dunod, pp.2-10, 2007.

R. L. Oliver, A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions, Journal of Marketing Research, vol.17, issue.4, p.460, 1980.
DOI : 10.2307/3150499

R. L. Oliver, Measurement and evaluation of satisfaction processes in retail settings, Journal of Retailing, vol.57, issue.3, pp.25-48, 1981.

R. L. Oliver, Processing of the satisfaction response in consumption: A suggested framework and research proposition, Journal of Consumer Satisfaction, Dissatisfaction and Complaining Behavior, vol.2, pp.1-16, 1989.

R. L. Oliver, Cognitive, Affective, and Attribute Bases of the Satisfaction Response, Journal of Consumer Research, vol.20, issue.3, p.418, 1993.
DOI : 10.1086/209358

W. J. Orlikowski, D. Et, and . Robey, Information Technology and the Structuring of Organizations, Information Systems Research, vol.2, issue.2, pp.143-159, 1991.
DOI : 10.1287/isre.2.2.143

W. J. Orlikowski, The Duality of Technology: Rethinking the Concept of Technology in Organizations, Organization Science, vol.3, issue.3, pp.398-427, 1992.
DOI : 10.1287/orsc.3.3.398

G. Otieno, T. Hinako, and A. Motohiro, Measuring effectiveness of electronic medical records systems: Towards building a composite index for benchmarking hospitals, International Journal of Medical Informatics, vol.77, issue.10, pp.657-69, 2008.
DOI : 10.1016/j.ijmedinf.2008.01.002

M. Pagani, Determinants of adoption of High Speed Data Services in the business market: Evidence for a combined technology acceptance model with task technology fit model, Information & Management, vol.43, issue.7, pp.847-860, 2006.
DOI : 10.1016/j.im.2006.08.003

J. M. Palm and I. Colombet, Determinants of user satisfaction with a clinical information system, AMIA Annu Symp, vol.Proc, pp.614-622, 2006.

G. Pare, L. Lepanto, and D. Aubry, Toward a multidimensional assessment of picture archiving and communication system success, International Journal of Technology Assessment in Health Care, vol.8, issue.04, pp.471-480, 2005.
DOI : 10.1016/0895-6111(95)00010-N

G. Pare and C. Sicotte, The Effects of Creating Psychological Ownership on Physicians' Acceptance of Clinical Information Systems, Journal of the American Medical Informatics Association, vol.13, issue.2, pp.197-205, 2006.
DOI : 10.1197/jamia.M1930

M. Parthasarathy and A. Bhattacherjee, Understanding Post-Adoption Behavior in the Context of Online Services, Information Systems Research, vol.9, issue.4, p.362, 1998.
DOI : 10.1287/isre.9.4.362

A. Pinsonneault and K. L. Kraemer, Survey Research Methodology in Management Information Systems: An Assessment, Journal of Management Information Systems, vol.3, issue.2, pp.75-105, 1993.
DOI : 10.1145/3532.3537

L. T. Pizzi and D. C. Suh, Factors Related to Physicians' Adoption of Electronic Prescribing: Results From a National Survey, American Journal of Medical Quality, vol.20, issue.1, pp.22-32, 2005.
DOI : 10.1177/1062860604273775

E. G. Poon, D. Blumenthal, and T. Jaggi, Overcoming barriers to adopting and implementing computerized physician order entry systems in UAssessing the level of healthcare information technology adoption in the United States: a snapshot, S. hospitals". Health A fairs, vol.23, issue.4, pp.184-90, 2004.

D. Protti, Adoption of IT by GP/FMs: A 10 Country Comparison Canada: Canadian Medical Association (CMA)The Technology Acceptance Model: A Meta-Analysis of Empirical Findings, Journal of Organizational & End User Computing, vol.16, issue.1, pp.59-72, 2004.

S. M. Quintana and S. E. Maxwell, Implications of Recent Developments in Structural Equation Modeling for Counseling Psychology, The Counseling Psychologist, vol.27, issue.4, pp.485-527, 1999.
DOI : 10.1177/0011000099274002

]. R. Reix, Systèmes d'information et management des organisations (5e édition), pp.2-7117, 2004.

J. C. Roca and C. Chiu, Understanding e-learning continuance intention: An extension of the Technology Acceptance Model, International Journal of Human-Computer Studies, vol.64, issue.8, pp.683-696, 2006.
DOI : 10.1016/j.ijhcs.2006.01.003

E. M. Rogers, Diffusion of innovation, 1983.

E. M. Rogers, Diffusion of Innovation, 1995.

E. M. Rogers, Diffusion of Innovation, 2003.

P. B. Seddon and M. Kiew, A partial test and development of the DeLone and McLean model of IS success, Proceedings of the International Conference on Information Systems, pp.99-110, 1994.

N. R. Shah and A. C. Seger, Improving Acceptance of Computerized Prescribing Alerts in Ambulatory Care, Journal of the American Medical Informatics Association, vol.13, issue.1, pp.5-11, 2006.
DOI : 10.1197/jamia.M1868

B. R. Shaw and J. Y. Han, Doctor???patient relationship as motivation and outcome: Examining uses of an Interactive Cancer Communication System, International Journal of Medical Informatics, vol.76, issue.4, pp.274-282, 2007.
DOI : 10.1016/j.ijmedinf.2005.12.002

C. Sicotte and G. Pare, A Risk Assessment of Two Interorganizational Clinical Information Systems, Journal of the American Medical Informatics Association, vol.13, issue.5, pp.557-66, 2006.
DOI : 10.1197/jamia.M2012

A. J. Siman, Un programme pour l'avenir : le système nationale de dossier de santé électronique, International Journal of Information Management & Communications Canada XIV, issue.1, 2000.

S. Simon, C. Soran, and R. Kaushal, Physicians' Use of Key Functions in Electronic Health Records from 2005 to 2007: A Statewide Survey, Journal of the American Medical Informatics Association, vol.16, issue.4, pp.465-70, 2009.
DOI : 10.1197/jamia.M3081

D. F. Sittig and M. Krall, Emotional Aspects of Computer-based Provider Order Entry: A Qualitative Study, Journal of the American Medical Informatics Association, vol.12, issue.5, pp.561-567, 2005.
DOI : 10.1197/jamia.M1711

D. F. Sittig and M. A. Krall, 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. A. Spreng and R. D. Mackoy, An empirical examination of a model of perceived service quality and satisfaction, Journal of Retailing, vol.72, issue.2, pp.201-214, 1996.
DOI : 10.1016/S0022-4359(96)90014-7

D. W. Straub, The Effect of Culture on IT Diffusion: E-Mail and FAX in Japan and the U.S., Information Systems Research, vol.5, issue.1, pp.23-47, 1994.
DOI : 10.1287/isre.5.1.23

D. W. Straub and M. Keil, Testing the technology acceptance model across cultures: A three country study, Information & Management, vol.33, issue.1, pp.1-11, 1997.
DOI : 10.1016/S0378-7206(97)00026-8

H. Sun and P. Zhang, The role of moderating factors in user technology acceptance, International Journal of Human-Computer Studies, vol.64, issue.2, pp.53-78, 2006.
DOI : 10.1016/j.ijhcs.2005.04.013

B. Szajna and R. W. Scamell, The Effects of Information System User Expectations on Their Performance and Perceptions, MIS Quarterly, vol.17, issue.4, pp.493-516, 1993.
DOI : 10.2307/249589

B. Szajna, Empirical Evaluation of the Revised Technology Acceptance Model, Management Science, vol.42, issue.1, pp.85-92, 1996.
DOI : 10.1287/mnsc.42.1.85

S. Taylor and P. Todd, Assessing IT Usage: The Role of Prior Experience, MIS Quarterly, vol.19, issue.4, pp.561-570, 1995.
DOI : 10.2307/249633

J. Y. Thong and S. Hong, The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance, International Journal of Human-Computer Studies, vol.64, issue.9, pp.799-810, 2006.
DOI : 10.1016/j.ijhcs.2006.05.001

L. G. Tornatzky and J. Klein, Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings, IEEE Transactions on Engineering Management, vol.29, issue.1, pp.28-45, 1982.
DOI : 10.1109/TEM.1982.6447463

H. C. Triandis, Values, attitudes, and interpersonal behavior (pp. 195- 259) Nebraska symposium on motivation, 1979.

H. C. Triandis, Values, Attitudes and Interpersonal Behavior",Nebraska symposium on motivation 1979: beliefs, attitudes, and values, Nebr Symp Motiv, vol.27, pp.1-350, 1980.

R. Vallerand and J. , Vers une m??thodologie de validation trans-culturelle de questionnaires psychologiques: Implications pour la recherche en langue fran??aise., Canadian Psychology/Psychologie canadienne, vol.30, issue.4, pp.662-680, 1989.
DOI : 10.1037/h0079856

M. J. Van-der-meijden and H. J. Tange, Determinants of Success of Inpatient Clinical Information Systems: A Literature Review, Journal of the American Medical Informatics Association, vol.10, issue.3, pp.235-243, 2003.
DOI : 10.1197/jamia.M1094

T. P. Van-dyke, L. A. Kappelman, and V. R. Prybutok, Measuring Information Systems Service Quality: Concerns on the Use of the SERVQUAL Questionnaire, MIS Quarterly, vol.21, issue.2, pp.195-208, 1997.
DOI : 10.2307/249419

V. Venkatesh and D. , A Model of the Antecedents of Perceived Ease of Use: Development and Test, Decision Sciences, vol.2, issue.3, pp.451-481, 1996.
DOI : 10.1177/009365092019005001

V. Venkatesh, Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model, Information Systems Research, vol.11, issue.4, pp.342-365, 2000.
DOI : 10.1287/isre.11.4.342.11872

V. Venkatesh and F. D. Davis, A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies, Management Science, vol.46, issue.2, pp.186-204, 2000.
DOI : 10.1287/mnsc.46.2.186.11926

V. Venkatesh and M. G. Morris, A Longitudinal Field Investigation of Gender Differences in Individual Technology Adoption Decision-Making Processes, Organizational Behavior and Human Decision Processes, vol.83, issue.1, pp.33-60, 2000.
DOI : 10.1006/obhd.2000.2896

V. Venkatesh and M. G. Morris, Why Don't Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior, MIS Quarterly, vol.24, issue.1, pp.115-139, 2000.
DOI : 10.2307/3250981

V. Venkatesh and S. A. Brown, A Longitudinal Investigation of Personal Computers in Homes: Adoption Determinants and Emerging Challenges, MIS Quarterly, vol.25, issue.1, pp.71-102, 2001.
DOI : 10.2307/3250959

V. Venkatesh and C. Speier, User Acceptance Enablers in Individual Decision Making About Technology: Toward an Integrated Model, Decision Sciences, vol.27, issue.2, pp.297-316, 2002.
DOI : 10.2307/249576

V. Venkatesh and M. G. Morris, User acceptance of information technology: Toward a unified view, MISQ Quarterly, vol.27, issue.3, pp.425-478, 2003.

P. Goodman, . Sproul, and . Ls, Technology as equivoque Overcoming the barriers to the implementation of information system strategies, Inc. Publishers Editions, pp.39-44, 1990.

E. V. Wilson and N. K. Lankton, Modeling Patients' Acceptance of Provider-delivered E-health, Journal of the American Medical Informatics Association, vol.11, issue.4, pp.241-248, 2004.
DOI : 10.1197/jamia.M1475

B. H. Wixom and P. A. Todd, A Theoretical Integration of User Satisfaction and Technology Acceptance, Information Systems Research, vol.16, issue.1, pp.85-102, 2005.
DOI : 10.1287/isre.1050.0042

J. Wu, . Sc, and . Wang, Mobile computing acceptance factors in the healthcare industry: A structural equation model, International Journal of Medical Informatics, vol.76, issue.1, pp.66-77, 2007.
DOI : 10.1016/j.ijmedinf.2006.06.006

C. Wu, J. H. Gerlach, Y. , and C. E. , An empirical analysis of open source software developers??? motivations and continuance intentions, Information & Management, vol.44, issue.3, pp.253-262, 2007.
DOI : 10.1016/j.im.2006.12.006

J. Wu, W. Shen, and L. Lin, Testing the technology acceptance model for evaluating healthcare professionals' intention to use an adverse event reporting system, International Journal for Quality in Health Care, vol.20, issue.2, pp.123-132, 2008.
DOI : 10.1093/intqhc/mzm074

A. Yarbrough and T. Smith, Technology Acceptance among Physicians: A New Take on TAM, Medical Care Research and Review, vol.64, issue.6, pp.650-72, 2007.
DOI : 10.1177/1077558707305942

M. Y. Yi, J. D. Jackson, and J. S. Park, Understanding information technology acceptance by individual professionals: Toward an integrative view, Information & Management, vol.43, issue.3, pp.350-63, 2006.
DOI : 10.1016/j.im.2005.08.006

P. Yu, H. Li, and M. Gagnon, Health IT acceptance factors in long-term care facilities: A cross-sectional survey, International Journal of Medical Informatics, vol.78, issue.4, pp.219-248, 2008.
DOI : 10.1016/j.ijmedinf.2008.07.006

G. Zaltman, R. Duncan, and J. Holbek, Innovations and organizations, 1973.

A. Annexe, A. Premier, and . Article, Determinants of User Satisfaction with a Clinical Information System Présenté la conférence annuelle 2006 de l'Association Américaine d'Informatique Médicale (AMIA) Publié à l'AMIA Annu Symp Proc: Vols, Proc HEGP, 2003.