Follow Reference
Abelha, A., Machado, J., Alves, V., & Neves, J. (2009). Health data management in the medical arena . Paper presented at the 4th WSEAS International Conference on Applied Informatics and Communications. Tenerife, Spain.
Follow Reference
Alvarez
R.
Bowry
R.
Carter
M.
(2010). Prediction of the time to complete a series of surgical cases to avoid cardiac operating room overutilization.Canadian Journal of Anaesthesia, 57(11), 973–979. 10.1007/s12630-010-9371-820725818
Follow Reference
Ash
J. S.
Berg
M.
Coiera
E.
(2004). Some unintended consequeunces of information technology in health care: The nature of patient care information system-related errors.Journal of the American Medical Informatics Association, 11(2), 104–112. 10.1197/jamia.M147114633936
Follow Reference
Better
M.
Glover
F.
Laguna
M.
(2007). Advances in analytics: Integrating dynamic data mining with simulation optimization.IBM Journal of Research and Development, 51(3-4), 477–487. 10.1147/rd.513.0477
Follow Reference
Bjornberg
A.
Cebolla
B.
(2009). Euro health consumer index. Stockholm, Sweden: Health Consumer Power House.
Follow Reference
Blake
J. T.
(2006). Capacity planning in operating rooms. In YihY. (Ed.), Handbook of Healthcare Delivery Systems (pp. 34.1–34.12). Boca Raton, FL: CRC Press.
Follow Reference
Burke
E. K.
Curtois
T.
Nordlander
T. E.
Riise
A.
(2006). Scheduling and sequencing. In YihY. (Ed.), Handbook of Healthcare Delivery Systems (pp. 23.1–23.15). Boca Raton, FL: CRC Press.
Follow Reference
Cardoen
B.
Demeulemeester
E.
Beliën
J.
(2010). Operating room planning and scheduling: A literature review.European Journal of Operational Research, 201(3), 921–932. 10.1016/j.ejor.2009.04.011
Follow Reference
Combes
C.
Meskens
N.
Rivat
C.
Vandamme
J.-P.
(2008). Using a KDD process to forecast the duration of surgery.International Journal of Production Economics, 112(1), 279–293. 10.1016/j.ijpe.2006.12.068
Follow Reference
Conforti, D., Guerriero, F., & Guido, R. (2010). A multi-objective block scheduling model for the management of surgical operating rooms: New solution approaches via genetic algorithms . Paper presented in the IEEE Workshop on Health Care Management. Venice, Italy.
Follow Reference
Dexter
F.
Epstein
R. H.
Lee
J. D.
Ledolter
J.
(2009). Automatic updating of times remaining in surgical cases using bayesian analysis of historical case duration data and instant messaging updates from anesthesia providers.Anesthesia and Analgesia, 108(3), 929–940. 10.1213/ane.0b013e3181921c3719224806
Follow Reference
Dexter
F.
Traub
R. D.
Qian
F.
(1999). Comparison of statistical methods to predict the time to complete a series of surgical cases.Journal of Clinical Monitoring and Computing, 15(1), 45–51. 10.1023/A:100999983075312578061
Follow Reference
Eijkemans
M. J.
van Houdenhoven
M.
Nguyen
T.
Boersma
E.
Steyerberg
E. W.
Kazemier
G.
(2010). Predicting the unpredictable: A new prediction model for operating room times using individual characteristics and the surgeon's estimate.Anesthesiology, 112(1), 41–49. 10.1097/ALN.0b013e3181c294c219952726
Follow Reference
Everett
J. E.
(2002). A decision support simulation model for the management of an elective surgery waiting system.Health Care Management Science, 5(2), 89–95. 10.1023/A:101446861363511993751
Follow Reference
Fei
H.
Chu
C.
Meskens
N.
Artiba
A.
(2008). Solving surgical cases assignment problem by a branch-and-price approach.International Journal of Production Economics, 112(1), 96–108. 10.1016/j.ijpe.2006.08.030
Follow Reference
Gomes
P.
Paiva
N.
Simões
B.
(2009). Análise da viabilidade económica das aplicações SAM e SAPE. Lisbon, Portugal: Universidade Nova.
Follow Reference
Green
L. V.
(2005). Operations research and health care: Capacity planning and management in hospitals.International Series in Operations Research & Management Science, 70(2), 15–41. 10.1007/1-4020-8066-2_2
Follow Reference
Guerriero
F.
Guido
R.
(2010). Operational research in the management of the operating theatre: A survey.Health Care Management Science, 14(1), 89–114. 10.1007/s10729-010-9143-621103939
Follow Reference
Guinet
A.
Chaabane
S.
(2003). Operating theatre planning.International Journal of Production Economics, 85(1), 69–81. 10.1016/S0925-5273(03)00087-2
Follow Reference
Jao
C. S.
Hier
D. B.
(2010). Clinical decision support systems: An effective pathway to reduce medical errors and improve patient safety. In Decision Support Systems (pp. 121–138). Intech.
Follow Reference
Jaspers
M. W. M.
Smeulers
M.
Vermeulen
H.
Peute
L. W.
(2011). Effects of clinical decision-support systems on practitioner performance and patient outcomes.Journal of the American Medical Informatics Association, 18(3), 327–334. 10.1136/amiajnl-2011-00009421422100
Follow Reference
Jebali
A.
Alouane
A. B. H.
Ladet
P.
(2006). Operating rooms scheduling.International Journal of Production Economics, 99(1-2), 52–62. 10.1016/j.ijpe.2004.12.006
Follow Reference
Kaplan
B.
(2001). Evaluating informatics applications – Clinical decision support systems literature review.International Journal of Medical Informatics, 64(1), 15–37. 10.1016/S1386-5056(01)00183-611673100
Follow Reference
Kumiega
A.
Vliet
B.
(2008). Kaizen: Continuous improvement: Process engineering and best practices for systematic trading and investment. London, UK: England Academic Press.
Follow Reference
Lamiri, M., Dreo, J., & Xie, X. (2007). Operating room planning with random surgery times . Paper presented in the IEEE International Conference on Automation Science and Engineering. Toronto, Canada.
Follow Reference
Lamiri
M.
Xie
X.
Dolgui
A.
Grimaud
F.
(2008). A stochastic model for operating room planning with elective and emergency demand for surgery.European Journal of Operational Research, 185(3), 1026–1037. 10.1016/j.ejor.2006.02.057
Follow Reference
Li
Y.
Zhang
S.
Baugh
R. F.
Huang
J. Z.
(2009). Predicting surgical case durations using ill-conditioned CPT code matrix.IIE Transactions, 42(2), 121–135. 10.1080/07408170903019168
Follow Reference
Macario
A.
(2009). Truth in scheduling: Is it possible to accurately predict how long a surgical case will last?Anesthesia and Analgesia, 108(3), 681–685. 10.1213/ane.0b013e318196a61719224765
Follow Reference
Min
D.
Yih
Y.
(2010). Scheduling elective surgery under uncertainty and downstream capacity constraints.European Journal of Operational Research, 206(3), 642–652. 10.1016/j.ejor.2010.03.014
Follow Reference
Pham
D. N.
Klinkert
A.
(2008). Surgical case scheduling as a generalized job shop scheduling problem.European Journal of Operational Research, 185(3), 1011–1025. 10.1016/j.ejor.2006.03.059
Follow Reference
Riise
A.
Burke
E. K.
(2010). Local search for the surgery admission planning problem.Journal of Heuristics, 17(4), 389–414. 10.1007/s10732-010-9139-x
Follow Reference
Sharp
H.
Rogers
Y.
Preece
J.
(2007). Interaction design: Beyond human computer interaction. London, UK: Wiley.
Follow Reference
Shim
J. P.
Warkentin
M.
Courtney
J. F.
Power
D. J.
Sharda
R.
Carlsson
C.
(2002). Past, present, and future of decision support technology.Decision Support Systems, 33(2), 111–126. 10.1016/S0167-9236(01)00139-7
Follow Reference
Siciliani, L., & Hurs, J. (2004). Explaining waiting-time variations for elective surgery across OECD countries. OECD Economic Studies, 38 .
Follow Reference
SIGIC. (2011). Relatório resumo dos indicadores da LIC no país em relação ao ano de 2010 . Retrieved from http://www.min-saude.pt/portal/conteudos/informacoes+uteis/ Follow Reference
Stepaniak
P. S.
Heij
C.
De Vries
G.
(2010). Modeling and prediction of surgical procedure times.Statistica Neerlandica, 64(1), 1–18. 10.1111/j.1467-9574.2009.00440.x
Follow Reference
Stepaniak
P. S.
Heij
C.
Mannaerts
G. H.
de Quelerij
M.
de Vries
G.
(2009). Modeling procedure and surgical times for current procedural terminology-anesthesia-surgeon combinations and evaluation in terms of case-duration prediction and operating room efficiency: a multicenter study.Anesthesia and Analgesia, 109(4), 1232–1245. 10.1213/ANE.0b013e3181b5de0719762753
Follow Reference
Strum
D. P.
May
J. H.
Vargas
L. G.
(2000). Modeling the uncertainty of surgical procedure times: Comparison of log-normal and normal models.Anesthesiology, 92(4), 1160–1167. 10.1097/00000542-200004000-0003510754637
Follow Reference
Thomas
R. K.
(2003). Health services planning. New York, NY: Kluwer Academic Publishers. 10.1007/b100617
Follow Reference
Turban
E.
Aronson
J. E.
(1995). Decision support systems and intelligent systems. London, UK: Prentice-Hall.
Follow Reference
Wright
I. H.
Kooperberg
C.
Bonar
B. A.
Bashein
G.
(1996). Statistical modeling to predict elective surgery time: Comparison with a computer scheduling system and surgeon-provided estimates.Anesthesiology, 85(6), 1235–1245. 10.1097/00000542-199612000-000038968169