?. Agarwal, S. Joshi, A. Finin, T. Yesha, Y. Ganous et al., A pervasive computing system for the operating room of the future. Mobile Networks and Applications, pp.215-243, 2007.

?. Ahmadi, A. Sielhorst, T. Stauder, R. Horn, M. Feussner et al., Recovery of Surgical Workflow Without Explicit Models, Med Image Comput Comput Assist Interv, vol.9, issue.1, pp.420-428, 2006.
DOI : 10.1007/11866565_52

?. Ahmadi, A. Padoy, N. Rybachuk, K. Feussner, H. Heining et al., Motif discovery in OR sensor data with application to surgical workflow analysis and activity detection, M2CAI workshop, Med Image Comput Comput Assist Interv, 2009.

?. Archer, T. Macario, and A. , The drive for operating room efficiency will increase quality of patient care, Current Opinion in Anaesthesiology, vol.19, issue.2, pp.171-177, 2006.
DOI : 10.1097/01.aco.0000192796.02797.82

?. Bann, M. Khan, and A. Darzi, Measurement of Surgical Dexterity Using Motion Analysis of Simple Bench Tasks, World Journal of Surgery, vol.27, issue.4, pp.390-394, 2003.
DOI : 10.1007/s00268-002-6769-7

?. Biagioli, B. Scolletta, S. Cevenini, G. Barbini, E. Giomarelli et al., A multivariate Bayesian model for assessing morbidity after coronary artery surgery, Critical Care, vol.10, issue.3, p.94, 2006.
DOI : 10.1016/S1010-7940(99)00106-2

?. Blum, T. Padoy, N. Feussner, H. Navab, and N. , Workflow mining for visualization and analysis of surgeries, International Journal of Computer Assisted Radiology and Surgery, vol.6, issue.1, pp.379-86, 2008.
DOI : 10.1007/s11548-008-0239-0

?. Bouarfa, L. Jonker, P. Dankelman, and J. , Discovery of high-level tasks in the operating room, Journal of Biomedical Informatics, vol.44, issue.3, pp.455-62, 2011.
DOI : 10.1016/j.jbi.2010.01.004

?. Bhatia, B. Oates, T. Xiao, Y. Hu, and P. , Real-time identification of operating room state from video, AAAI, pp.1761-1767, 2007.

?. Burgert, O. Neumuth, T. Lempp, F. Mudunuri, R. Meixensberger et al., Linking top-level ontologies and surgical workflows, Int J Comput Assisted Radiol Surg, vol.1, issue.1, pp.437-445, 2006.
URL : https://hal.archives-ouvertes.fr/inserm-00341643

?. Cao, C. Mackenzie, C. Payandeh, and S. , Task and Motion Analysis in Endoscopic Surgery, 5th Annual Symposium on Haptic Interface for Virtual Environment and Teleoperation, 1996.

?. Claus, G. Sjoerdsma, W. Jansen, A. Grimbergen, and C. , Quantitative standardised analysis of advanced laparoscopic surgical procedures, Endosc Surg Allied Technol, vol.3, pp.210-213, 1995.

?. Cleary, K. Chung, H. Mun, and S. , OR 2020: The operating room of the future. Laparoendoscopic and Advanced Surgical Techniques, pp.495-500, 2005.

?. Coles, E. Slavin, and G. , An evaluation of automatic coding of surgical pathology reports., Journal of Clinical Pathology, vol.29, issue.7, pp.621-627, 1976.
DOI : 10.1136/jcp.29.7.621

?. Darzi, A. Mackay, and S. , Skills assessment of surgeons, Surgery, vol.131, issue.2, pp.121-125, 2002.
DOI : 10.1067/msy.2002.115831

?. Decker, K. Bauer, and M. , Ergonomics in the operating room ??? from the anesthesiologist's point of view, Minimally Invasive Therapy & Allied Technologies, vol.89, issue.6, pp.268-77, 2003.
DOI : 10.1080/13645700310018795

?. Den-boer, K. De-wit, L. Davids, P. Dankelman, J. Gouma et al., Analysis of the quality and efficiency in learning laparoscopic skills, Surgical Endoscopy, vol.11, issue.5, pp.497-503, 2001.
DOI : 10.1007/s004640090002

?. Dexter, F. Epstein, R. Traub, R. Xiao, and Y. , Making Management Decisions on the Day of Surgery Based on Operating Room Efficiency and Patient Waiting Times, Anesthesiology, vol.101, issue.6, pp.1444-53, 2004.
DOI : 10.1097/00000542-200412000-00027

?. Dosis, A. Bello, F. Moorthy, K. Munz, Y. Gillies et al., Real-time synchronization of kinematic and video data for the comprehensive assessment of surgical skills, Stud Health Technol Inform, vol.98, pp.82-90, 2004.

?. Edwards, F. Peterson, R. Bridges, C. Ceithaml, and E. , Use of a Bayesian statistical model for risk assessment in coronary artery surgery, The Annals of Thoracic Surgery, vol.59, issue.6, pp.1611-1613, 1988.
DOI : 10.1016/0003-4975(95)00189-R

?. Favela, J. Tentori, M. Castro, L. Gonzalez, V. Moran et al., Activity Recognition for Context-aware Hospital Applications: Issues and Opportunities for the Deployment of Pervasive Networks, Mobile Networks and Applications, vol.41, issue.1, pp.155-71, 2007.
DOI : 10.1007/s11036-007-0013-5

?. Fischer, M. Strauss, G. Burgert, O. Dietz, A. Trantakis et al., ENT-surgical workflow as an instrument to assess the efficiency of technological developments in medicine, International Congress Series, vol.1281, pp.851-856, 2005.
DOI : 10.1016/j.ics.2005.03.208

?. Flin, R. Youngson, G. , and Y. S. , How do surgeons make intraoperative decisions?, Quality and Safety in Health Care, vol.16, issue.3, pp.235-244, 2007.
DOI : 10.1136/qshc.2006.020743

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2464983

?. Forestier, G. Lalys, F. Riffaud, L. Trelhu, B. Jannin et al., Classification of surgical processes using dynamic time warping, Journal of Biomedical Informatics, vol.45, issue.2, pp.255-64, 2012.
DOI : 10.1016/j.jbi.2011.11.002

URL : https://hal.archives-ouvertes.fr/inserm-00669624

?. Gehbard, F. Brinkmann, and A. , OP-Organisation an einer Klinik der Maximalversorgung, Zentralblatt f??r Chirurgie, vol.131, issue.04, pp.341-347, 2006.
DOI : 10.1055/s-2006-948153

?. Hager, G. Vagvolgyi, B. Yuh, and D. , Stereoscopic video overlay with deformable registration. Medicine Meets Virtual Reality, 2007.

?. Haro, B. Zapella, L. Vidal, and R. , Surgical gesture classification from video data, Med Image Comput Comput Assist Interv, vol.7510, pp.34-41, 2012.

?. Houliston, B. Parry, D. Merry, and A. , TADAA: Towards Automated Detection of Anaesthetic Activity, Methods of Information in Medicine, vol.50, issue.5, pp.464-71, 2011.
DOI : 10.3414/ME11-02-0001

?. Hu, P. Ho, D. Mackenzie, C. Hu, H. Martz et al., Advanced Visualization platform for surgical operating room coordination. Distributed video board system. Surg innovation, pp.129-164, 2006.

?. Ibbotson, J. Mackenzie, C. Cao, C. Lomax, and A. , Gaze patterns in laparoscopic surgery, Stud Health Technol Inform, vol.7, pp.154-60, 1999.

?. Jalote-parmar, A. Van-alfen, M. Hermans, and J. , Workflow Driven User Interface for Radiological System: A Human Factors Approach. Comput Assisted Radiol Surg, 2008.

?. James, A. Vieira, D. Lo, B. Darzi, A. Yang et al., Eye-Gaze Driven Surgical Workflow Segmentation, Med Image Comput Comput Assist Interv, vol.10, issue.2, pp.110-117, 2007.
DOI : 10.1007/978-3-540-75759-7_14

?. Jannin, P. Raimbault, M. Morandi, X. Seigneuret, E. Gibaud et al., Design of a neurosurgical gestures model for multimodal image guided surgery, Comput Assisted Radiol Surg, pp.102-107, 2001.

?. Jannin, P. Raimbault, M. Morandi, X. Riffaud, L. Gibaud et al., Model of Surgical Procedures for Multimodal Image-Guided Neurosurgery, Computer Aided Surgery, vol.4, issue.37, pp.98-106, 2003.
DOI : 10.1016/S1386-5056(00)00077-0

URL : https://hal.archives-ouvertes.fr/inserm-00330538

?. Jannin, P. Grova, C. Maurer, and C. , Model for defining and reporting reference-based validation protocols in medical image processing, International Journal of Computer Assisted Radiology and Surgery, vol.11, issue.2, pp.1001-115, 2006.
DOI : 10.1007/s11548-006-0044-6

URL : https://hal.archives-ouvertes.fr/inserm-00185431

?. Jannin, P. Morandi-xkatic, D. Sudra, G. Speidel, S. Castrillon-oberndorfer et al., Surgical models for computer-assisted neurosurgery Knowledge-based situation interpretation for context-aware augmented reality in dental implant surgery, Neuroimage. Med Imaging Augmented Reality, vol.37, issue.3, pp.783-91, 2007.

?. Klank, U. Padoy, N. Feussner, H. Navab, and N. , Automatic feature generation in endoscopic images, International Journal of Computer Assisted Radiology and Surgery, vol.3, issue.3-4, pp.331-340, 2008.
DOI : 10.1007/s11548-008-0223-8

?. Ko, S. Kim, J. Lee, W. Kwon, and D. , Surgery task model for intelligent interaction between surgeon and laparoscopic assistant robot, J Robotics Mechatronics, vol.8, issue.1, pp.38-46, 2007.

?. Kuhan, G. Marshall, E. Abidia, A. Chetter, I. Mccollum et al., A Bayesian hierarchical approach to comparative audit for carotid surgery, European Journal of Vascular and Endovascular Surgery, vol.24, issue.6, pp.505-520, 2002.
DOI : 10.1053/ejvs.2002.1763

?. Kuhnapfel, U. Cakmak, H. Maab, and H. , Endoscopic surgery training using virtual reality and deformable tissue simulation, Computers & Graphics, vol.24, issue.5, pp.671-82, 2000.
DOI : 10.1016/S0097-8493(00)00070-4

?. Lalys, F. Riffaud, L. Bouget, D. Jannin, and P. , A Framework for the Recognition of High-Level Surgical Tasks From Video Images for Cataract Surgeries, IEEE Transactions on Biomedical Engineering, vol.59, issue.4, pp.966-76, 2012.
DOI : 10.1109/TBME.2011.2181168

URL : https://hal.archives-ouvertes.fr/inserm-00669682

?. Lalys, F. Bouget, D. Riffaud, L. Jannin, and P. , Automatic knowledge-based recognition of low-level tasks in ophthalmological procedures, International Journal of Computer Assisted Radiology and Surgery, vol.2, issue.4, pp.39-49, 2012.
DOI : 10.1007/s11548-012-0685-6

URL : https://hal.archives-ouvertes.fr/inserm-00695646

?. Lemke, H. Trantakis, C. Köchy, K. Müller, A. Strauss et al., Workflow analysis for mechatronic and imaging assistance in head surgery, International Congress Series, vol.1268, pp.830-835, 2004.
DOI : 10.1016/j.ics.2004.03.359

?. Lin, H. Shafran, I. Yuh, D. Hager, and G. , Towards automatic skill evaluation: Detection and segmentation of robot-assisted surgical motions, Computer Aided Surgery, vol.111, issue.4, pp.220-250, 2006.
DOI : 10.1067/msy.2002.120235

?. Lo, B. Darzi, A. Yang, and G. , Episode Classification for the Analysis of Tissue/Instrument Interaction with Multiple Visual Cues, Med Image Comput Comput Assist Interv, vol.1, pp.231-238, 2003.
DOI : 10.1007/978-3-540-39899-8_29

?. Mackenzie, C. Ibbotson, A. Cao, C. Lomax, and A. , Hierarchical decomposition of laparoscopic surgery: a human factors approach to investigating the operating room environment, Minimally Invasive Therapy & Allied Technologies, vol.29, issue.3, pp.121-129, 2001.
DOI : 10.1080/136457001753192222

?. Malik, R. White, P. Macewen, and C. , Using human reliability analysis to detect surgical error in endoscopic DCR surgery, Clinical Otolaryngology and Allied Sciences, vol.14, issue.2, pp.456-60, 2003.
DOI : 10.1046/j.1365-2273.2003.00745.x

?. Maruster, L. Van-der-aalst, W. Weijters, T. Van-den-bosch, A. Daelemans et al., Automatic discovery of workflows models from hospital data, BNAIC, pp.183-90, 2001.

?. Marvik, R. Lango, T. Yavuz, and Y. , An Experimental Operating Room Project for Advanced Laparoscopic Surgery, Surgical Innovation, vol.11, issue.3, pp.211-217, 2004.
DOI : 10.1177/107155170401100311

?. Mehta, N. Haluck, R. Frecker, M. Snyder, and A. , Sequence and task analysis of instrument use in common laparoscopic procedures, Surgical Endoscopy And Other Interventional Techniques, vol.16, issue.2, pp.280-285, 2002.
DOI : 10.1007/s004640080009

?. Meng, F. , D. Avolio, L. Chen, A. Taira et al., Generating models of surgical procedures using UMLS concepts and multiple sequence alignment, Am Med Inform Assoc Annu Symp Proc, pp.520-524, 2005.

?. Meyer, M. Levine, W. Egan, M. Cohen, B. Spitz et al., A computerized perioperative data integration and display system, International Journal of Computer Assisted Radiology and Surgery, vol.106, issue.3-4, pp.191-202, 2007.
DOI : 10.1007/s11548-007-0126-0

?. Miyawaki, F. Masamune, K. Suzuki, S. Yoshimitsu, K. Vain et al., Scrub nurse and timed-automata-based model for surgery, IEEE Industrial Electronics Trans, vol.5, issue.52, pp.1227-1262, 2005.

?. Morineau, T. Morandi, X. , L. Moëllic, N. Diabira et al., Decision Making During Preoperative Surgical Planning, Human Factors: The Journal of the Human Factors and Ergonomics Society, vol.51, issue.1, pp.66-77, 2009.
DOI : 10.1177/0018720809332847

URL : https://hal.archives-ouvertes.fr/inserm-00546494

?. Münchenberg, J. Brief, J. Raczkowsky, J. Wörn, H. Hassfeld et al., Operation Planning of Robot Supported Surgical Interventions. Int Conf Intelligent Robots Systems, pp.547-52, 2000.

?. Nara, A. Izumi, K. Iseki, H. Suzuki, T. Nambu et al., Surgical Workflow Monitoring Based on Trajectory Data Mining, New frontiers in Artificial Intelligence, vol.101, issue.3, pp.283-91, 2011.
DOI : 10.1213/01.ane.0000167948.81735.5b

?. Neumuth, T. Schumann, S. Strauss, G. Jannin, P. Meixensberger et al., Visualization options for surgical workflows, Int J Comput Assisted Radiol Surg, vol.1, issue.1, pp.438-478, 2006.
URL : https://hal.archives-ouvertes.fr/inserm-00341631

?. Neumuth, T. Durstewitz, N. Fischer, M. Strauss, G. Dietz et al., Structured recording of intraoperative surgical workflows. SPIE medical imaging -PACS in Surgery, pp.6145-61450, 2006.

?. Neumuth, T. Trantakis, C. Eckhardt, F. Dengl, M. Meixensberger et al., Supporting the analysis of intervention courses with surgical process models on the example of fourteen microsurgical lumbar discectomies, Int J Comput Assisted Radiol Surg, vol.2, issue.1, pp.436-444, 2007.

?. Neumuth, T. Jannin, P. Strauss, G. Meixensberger, J. Burgert et al., Validation of Knowledge Acquisition for Surgical Process Models, Journal of the American Medical Informatics Association, vol.16, issue.1, pp.72-82, 2008.
DOI : 10.1197/jamia.M2748

URL : https://hal.archives-ouvertes.fr/inserm-00344260

?. Neumuth, T. Loebe, F. Jannin, and P. , Similarity metrics for surgical process models, Artificial Intelligence in Medicine, vol.54, issue.1, pp.15-27, 2012.
DOI : 10.1016/j.artmed.2011.10.001

URL : https://hal.archives-ouvertes.fr/hal-00905410

?. Neumuth, T. Liebmann, P. Wiedemann, P. Meixensberger, and J. , Surgical workflow management schemata for cataract procedures Process Model-based design and validation of workflow schemata, Methods Inf Med, vol.51, issue.4, 2012.

?. Neumuth, T. Meissner, and C. , Online recognition of surgical instruments by information fusion, International Journal of Computer Assisted Radiology and Surgery, vol.299, issue.2, p.2012
DOI : 10.1007/s11548-011-0662-5

?. Nomm, S. Petlenkov, E. Vain, J. Belikov, J. Miyawaki et al., Recognition of the Surgeon's Motions During Endoscopic Operation by Statistics Based Algorithm and Neural Networks Based ANARX Models, IFAC Proceedings Volumes, vol.41, issue.2, 2008.
DOI : 10.3182/20080706-5-KR-1001.02501

?. Padoy, N. Horn, M. Feussner, H. Berger, M. Navab et al., Recovery of surgical workflow: a model-based approach, Int J Comput Assisted Radiol Surg, vol.2, issue.1, pp.481-483, 2007.
URL : https://hal.archives-ouvertes.fr/inria-00177016

?. Padoy, N. Blum, T. Feuner, H. Berger, M. Navab et al., On-line recognition of surgical activity for monitoring in the operating room, Conf Inno App Art Intell, 2008.
URL : https://hal.archives-ouvertes.fr/inria-00331390

N. Padoy, T. Blum, S. Ahmadi, H. Feussner, M. Berger et al., Statistical modeling and recognition of surgical workflow, Medical Image Analysis, vol.16, issue.3, pp.632-673, 2010.
DOI : 10.1016/j.media.2010.10.001

URL : https://hal.archives-ouvertes.fr/inria-00526493

?. Payandeh, S. Lomax, A. Dill, J. Mackenzie, C. Cao et al., On Defining Metrics for Assessing Laparoscopic Surgical Skills in a Virtual Training Environment, Stud Health Technol Inform, vol.85, pp.334-374, 2002.

?. Patel, V. L. , and J. F. Arocha, A Primer on Aspects of Cognition for Medical Informatics, Journal of the American Medical Informatics Association, vol.8, issue.4, pp.324-367, 2001.
DOI : 10.1136/jamia.2001.0080324

?. Payne, P. Mendonca, E. Johnson, S. Starren, and J. , Conceptual knowledge acquisition in biomedicine: A methodological review, Journal of Biomedical Informatics, vol.40, issue.5, pp.582-602, 2007.
DOI : 10.1016/j.jbi.2007.03.005

?. Qi, J. Jiang, Z. Zhang, G. Miao, R. Su et al., A Surgical Management Information System Driven by Workflow, 2006 IEEE International Conference on Service Operations and Logistics, and Informatics, pp.1014-1022, 2006.
DOI : 10.1109/SOLI.2006.328890

?. Radrich and H. , Vision-based motion monitoring trough data fusion from a chirurgical multi-camera recording system, 2008.

?. Radrich, H. Padoy, N. Ahmadi, A. Feussner, H. Hager et al., Synchronized multimodal recording system for laparoscopic minimally invasive surgeries. M2CAI workshop, 2009.

?. Rattner, W. Park, and A. , Advanced devices for the operating room of the future. Seminars in laparoscopic surgery, pp.85-93, 2003.

?. Reiley, C. Lin, H. Yuh, D. Hager, and G. , Review of methods for objective surgical skill evaluation, Surgical Endoscopy, vol.31, issue.9, pp.356-66, 2011.
DOI : 10.1007/s00464-010-1190-z

?. Riedl and S. , Modernes Operationsmanagement im Workflow Operation Aufgabenspektrum und Herausforderungen der Zukunft, Der Chirurg, vol.73, issue.2, pp.105-115, 2002.
DOI : 10.1007/s00104-001-0411-3

?. Riley, R. Manias, and E. , Governing time in operating rooms, Journal of Clinical Nursing, vol.185, issue.5, pp.15-546
DOI : 10.1111/j.1365-2702.2006.01362.x

?. Rosen, J. Hannaford, B. Sinanan, M. Solazzo, and M. , Objective Evaluation Of Laparoscopic Surgical Skills Using Hidden Markov Models Based On Haptic Information And Tool/tissue Interactions, Stud Health Technol Inform, vol.81, pp.417-440, 2001.

?. Rosen, J. Solazzo, M. Hannaford, B. Sinanan, and M. , Task Decomposition of Laparoscopic Surgery for Objective Evaluation of Surgical Residents' Learning Curve Using Hidden Markov Model, Computer Aided Surgery, vol.70, issue.4, pp.49-61, 2002.
DOI : 10.1109/10.918597

?. Rosen, J. Brown, J. Chang, L. Sinanan, M. Hannaford et al., Generalized Approach for Modeling Minimally Invasive Surgery as a Stochastic Process Using a Discrete Markov Model, IEEE Transactions on Biomedical Engineering, vol.53, issue.3, pp.399-413, 2006.
DOI : 10.1109/TBME.2005.869771

?. Rosenbloom, S. Miller, R. Johnson, K. Elkin, P. Brown et al., Interface Terminologies: Facilitating Direct Entry of Clinical Data into Electronic Health Record Systems, Journal of the American Medical Informatics Association, vol.13, issue.3, pp.277-88, 2006.
DOI : 10.1197/jamia.M1957

?. Sanchez, D. Tentori, M. Favela, and J. , Activity Recognition for the Smart Hospital, IEEE Intelligent Systems, vol.23, issue.2, pp.50-57, 2008.
DOI : 10.1109/MIS.2008.18

?. Sandberg, W. Daily, B. Egan, M. Stahl, J. Goldman et al., Deliberate Perioperative Systems Design Improves Operating Room Throughput, Anesthesiology, vol.103, issue.2, pp.406-424, 2005.
DOI : 10.1097/00000542-200508000-00025

?. Satava, R. Carrico, and C. , Advanced Simulation Technologies for Surgical Education. Bulletin of the American College of Surgeon, pp.71-78, 1996.

?. Satava, R. Cuschieri, A. Hamdorf, and J. , Metrics for objective Assessment, Surgical Endoscopy, vol.17, issue.2, pp.220-226, 2003.
DOI : 10.1007/s00464-002-8869-8

?. Schleppers, A. Bender, and H. , Optimised workflow and organisation ??? from the point of view of an anaesthesiology department, Minimally Invasive Therapy & Allied Technologies, vol.13, issue.6, pp.278-83, 2003.
DOI : 10.1080/13645700310018803

?. Seim, A. Meyer, M. Sandberg, and W. , Does parallel workflow impact anaesthesia quality, Am Med Inform Assoc Annu Symp Proc, vol.1053, 2005.

?. Sielhorst, T. Blum, T. Navab, and N. , Synchronizing 3D movements for quantitative comparison and simultaneous visualization of actions, Fourth IEEE and ACM International Symposium on Mixed and Augmented Reality (ISMAR'05), pp.38-47, 2005.
DOI : 10.1109/ISMAR.2005.57

?. Sjoerdsma, W. Meijer, D. Jansen, A. Boer, K. Grimbergen et al., Comparison of Efficiencies of Three Techniques for Colon Surgery, Journal of Laparoendoscopic & Advanced Surgical Techniques, vol.10, issue.1, pp.47-53, 2000.
DOI : 10.1089/lap.2000.10.47

?. Speidel, S. Sudra, G. Senemaud, J. Drentschew, M. Müller-stich et al., Recognition of risk situations based on endoscopic instrument tracking and knowledge based situation modeling, Medical Imaging 2008: Visualization, Image-guided Procedures, and Modeling, p.35, 2008.
DOI : 10.1117/12.770385

?. Speidel, S. Benzko, J. Krappe, S. Sudra, G. Azad et al., Automatic classification of minimally invasive instruments based on endoscopic image sequences, Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling, p.37, 2009.
DOI : 10.1117/12.811112

?. Sudra, G. Speidel, S. Fritz, D. Möller-stich, B. Gutt et al., MEDIASSIST: medical assistance for intraoperative skill transfer in minimally invasive surgery using augmented reality, Medical Imaging 2007: Visualization and Image-Guided Procedures, 2007.
DOI : 10.1117/12.709300

?. Suzuki, T. Yoshimitsu, K. Tamura, M. Muragaki, Y. Iseki et al., Video Information Management System for Information Guided Neurosurgery, Comp Aided Surg, vol.3, issue.3, pp.75-82, 2012.
DOI : 10.1007/978-4-431-54094-6_9

?. Taylor, C. Draney, M. Ku, J. Parker, D. Steele et al., Predictive Medicine: Computational Techniques in Therapeutic Decision-Making, Computer Aided Surgery, vol.31, issue.5, pp.231-278, 1999.
DOI : 10.1016/0741-5214(87)90048-6

?. Thiemjarus, S. James, A. Yang, and G. , An eye???hand data fusion framework for pervasive sensing of surgical activities, Pattern Recognition, vol.45, issue.8, pp.2855-67, 2012.
DOI : 10.1016/j.patcog.2012.01.008

?. Verduijn, M. Rosseel, P. Peek, N. De-jonge, E. De-mol et al., Prognostic Bayesian networks, Journal of Biomedical Informatics, vol.40, issue.6, pp.619-668, 2007.
DOI : 10.1016/j.jbi.2007.07.004

?. Voros, S. Hager, and G. , Towards “real-time” tool-tissue interaction detection in robotically assisted laparoscopy, 2008 2nd IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics, pp.562-569, 2008.
DOI : 10.1109/BIOROB.2008.4762915

?. Weinger, M. Herndon, O. Zornow, M. Paulus, M. Gaba et al., An Objective Methodology for Task Analysis and Workload Assessment in Anesthesia Providers, Anesthesiology, vol.80, issue.1, pp.80-77, 1994.
DOI : 10.1097/00000542-199401000-00015

?. Wendt, T. Häber, A. Brigl, B. Winter, and A. , Modeling hospital information systems (Part 2): using the 3LMG2 tool for modelling patient, record management, Methods Inf Med, issue.3, pp.43-256, 2003.

?. Wfmc-?, Workflow management coalition. Terminology & glossary, 1999.

?. Winter, A. Brigl, B. Wendt, and T. , Modeling Hospital information systems (Part 1): The revised three-layer graph-based meta model 3LGM2, Method Inf Med, vol.42, issue.5, pp.544-51, 2003.

?. Xiao, Y. Hu, P. Hu, H. Ho, D. Dexter et al., An Algorithm for Processing Vital Sign Monitoring Data to Remotely Identify Operating Room Occupancy in Real-Time, Anesthesia & Analgesia, vol.101, issue.3, pp.823-855, 2005.
DOI : 10.1213/01.ane.0000167948.81735.5b

?. Yoshimitsu, K. Masamune, K. Iseki, H. Fukui, Y. Hashimoto et al., Development of scrub nurse robot (SNR) systems for endoscopic and laparoscopic surgery. Micro-NanoMechatronics Human Science, pp.83-88, 2010.

?. Yule, S. Flin, R. Paterson-brown, S. Maran, and N. , Non-technical skills for surgeons in the operating room: A review of the literature, Surgery, vol.139, issue.2, pp.140-149, 2006.
DOI : 10.1016/j.surg.2005.06.017