Clinical Protocol Computerization: The Saena Project


Directly derived from Saena

Galia F, Brimioulle S, Bonnier F, Vandenbergen N, Dojat M, Vincent J, Brochard L. 2011. Use of maximal end-tidal C02 values to improve its monitoring accuracy. Respiratory Care 56: 278-283.

Relevant to Saena


The savings potential of innovative medical technology in healthcare Berlin 2006

Computer Science

[1] Dojat M and Sayettat C. A realistic model for temporal reasoning in real-time patient monitoring, Applied Artificial Intelligence 1996; 10:121-143.

[2] Dojat M, Pachet F, Guessoum Z, Touchard D, Harf A and Brochard L. NéoGanesh: A Working System for the Automated Control of Assisted ventilation in ICUs, Artificial Intelligence in Medicine. 1997;11:97-117.

[3] Chittaro L and Dojat M. Using a general theory of time and change in patient monitoring: experiment and evaluation, Computers in Biology and Medicine. 1997;27:435-452.

[4] Dojat M, Ramaux N and Fontaine D. Scenario Recognition for Temporal Reasoning in Medical Domains, Artificial Intelligence in Medicine. 1998;14:139-155.

[5] Dojat M and Brochard L. Knowledge-based systems for automatic ventilatory management. In: G. Iotti, eds., Respiratory Care Clinics of North America. Closed-Loop Control Mechanical Ventilation. W.B. Saunders Co., Philadelphia, 2001:379-396.

[6] Mersmann S and Dojat M. SmartCare - Automated clinical guidelines in critical care. In: R. Lopez de Mantara and L. Saitta, eds., 16th European Conference on Artificial Intelligence (ECAI’04). IOS press, Valencia (ES) 22-27 Aug, 2004:745-749.

[7] Brochard L, Dojat M and Lellouche F. The ventilator of tomorrow. In: M. Fink, Suter PM, Sibbald WJ, eds., Intensive Care Medicine in 10 years. Springer-Verlag, Berlin, 2005:227-38.

[8] Guyet T, Garbay C and Dojat M. Human-Computer interaction to learn scenarios from ICU multivariate time series. In: S. Miksch, J. Hunter and E. Keravnou, eds., Artificial Intelligence in Medicine. Proceedings of the European Conference on Artificial Intelligence in Medicine AIME’05. Springer Verlag, Berlin, 2005:424-428.

[9] Guyet T, Garbay C and Dojat M. A Human-Machine Cooperative Approach for Time Series Data Interpretation. In: A. A. H. R. Bellazzi, eds., Proceedings of the AIME conference (Amsterdam July 2007). Springer-Verlag, Berlin, 2007:to appear.

[10] Mersmann S and Kück K, SmartCare™ - Optimizing Workflow Processes in Critical Care through Automation, Journal of Clinical Monitoring and Computing, Vol 20, No. 2, 119-120, 2006

Clinical Evaluations

[1] Dojat M, Brochard L, Lemaire F and Harf A. A knowledge-based system for assisted ventilation of patients in intensive care units, International Journal of Clinical Monitoring and Computing. 1992;9:239-250.

[2] Dojat M, Harf A, Touchard D, Laforest M, Lemaire F and Brochard L. Evaluation of a knowledge-based system providing ventilatory management and decision for extubation, Am. J. Respir. Crit. Care Med. 1996;153:997-1004.

[3] Dojat M, Harf A, Touchard D, Lemaire F and Brochard L. Clinical Evaluation of a Computer-Controlled Pressure Support Mode, Am. J. Respir. Crit. Care Med. 2000;161:1161-66.

[4] Bouadma L, Lellouche F, Cabello B, Taille S, Mancebo J, Dojat M and Brochard L. A computer driven system to manage weaning during prolonged mechanical ventilation : a pilot study, Intensive Care Med. 2005;31:1444-56.

[5] Lellouche F, Mancebo J, Jolliet P, Roeseler J, Schortgen F, Dojat M, Belen Cabello M, Bouadma L, Rodriguez P, Maggiore S, Reynaert M, Mersmann S and Brochard L. A multicenter randomized trial of computer-driven protocolized weaning from mechanical ventilation, Am. J. Respir. Crit. Care Med. 2006;174:894-900.

publications/publications.txt · Last modified: 2011/11/22 16:26 by mdojat