![](bgb.png)
ACKNOWLEDGEMENTS
This research was partly funded by the Walloon Re-
gion by the PIPAS (nr. 1017087) and PRIMa-Q (nr.
1610088) projects. We thanks UCL/Cancer Institute,
Grand Hospital of Charleroi and UZ Leuven for their
valuable feedback in key elicitation, design and vali-
dation phases of our work.
REFERENCES
Ahmed, Z., T., E., and S., B. (2011). Developing an efficient
scheduling template of a chemotherapy treatment unit:
A case study. Australas Med J., 4(10):575–88.
Barbagallo, S. et al. (2015). Optimization and planning of
operating theatre activities: an original definition of
pathways and process modeling. BMC Medical Infor-
matics and Decision Making, 15(1):38.
Benoist, T., Estellon, B., Gardi, F., Megel, R., and Nouioua,
K. (2011). Localsolver 1.x: a black-box local-search
solver for 0-1 programming. 4OR, 9(3):299 – 316.
Campbell, H., Hotchkiss, R., Bradshaw, N., and Porteous,
M. (1998). Integrated care pathways. British Medical
Journal, pages 133–137.
Choo, J. (2001). Critical success factors in implementing
clinical pathways/case management. Ann Acad Med
Singapore 30 (4 Suppl), 7:17–21.
Damas, C., Lambeau, B., and van Lamsweerde, A. (2014).
Analyzing critical decision-based processes. IEEE
Trans. Software Eng., 40(4):338–365.
De Landtsheer, R., Guyot, Y., Ospina, G., and Ponsard, C.
(2015). Combining neighborhoods into local search
strategies. In Proceedings of MIC’2015.
De Landtsheer, R. and Ponsard, C. (2013). Oscar.cbls :
an open source framework for constraint-based local
search. In Proceedings of ORBEL’27.
Demeulemeester, E., Sermeus, W., Belin, J., and Cardoen,
B. (2007). Clinical pathways and operations manage-
ment. it takes two to tango. Review of Business and
Economic Literature, LII(3):451–470.
Di Gaspero, L. and Schaerf, A. (2003). EASYLOCAL++:
an object-oriented framework for the flexible design
of local-search algorithms. Software: Practice and
Experience, 33(8):733–765.
Gooch, P. and Roudsari, A. (2011). Computerization of
workflows, guidelines, and care pathways: a review of
implementation challenges for process-oriented health
information systems. Journal of the American Medi-
cal Informatics Association, 18(6):738–748.
Kaandorp, G. C. and Koole, G. (2007). Optimal outpatient
appointment scheduling. Health Care Management
Science, 10(3):217–229.
Kortbeek, N., Zonderland, M. E., Boucherie, R. J., Litvak,
N., and Hans, E. W. (2011). Designing cyclic appoint-
ment schedules for outpatient clinics with scheduled
and unscheduled patient arrivals.
Lyman, G. (2009). Impact of chemotherapy dose intensity
on cancer patient outcomes. J Natl Compr Canc Netw,
pages 99–108.
Marynissen, J. and Demeulemeester, E. (2016). Literature
review on integrated hospital scheduling problems.
Working Papers Department of Decision Sciences and
Information Management 555258, KU Leuven, Fac-
ulty of Economics and Business.
Mauro, C., Happle, T., Sunyaev, A., M.Leimeister, J., and
Krcmar, H. (2010). From medical processes to work-
flows: modeling of clinical pathways with the unified
modeling language. In Int. Conf. on Health Informat-
ics (HealthInf), Valencia, Spain. 161 (9-10).
McGlynn, E. A. et al. (2003). The quality of health care
delivered to adults in the United States. New England
Journal of Medicine, 348(26):26352645.
Michel, L. and Hentenryck, P. V. (2004). Iterative relax-
ations for iterative flattening in cumulative schedul-
ing. In 14th International Conference on Automated
Planning & Scheduling (ICAPS).
Newton, M. A. H., Pham, D. N., Sattar, A., and Maher, M.
(2011). Kangaroo: an efficient constraint-based local
search system using lazy propagation. In Proceedings
of CP’11, pages 645–659.
OscaR Team (2012). OscaR: Operational research in
Scala. Available under the LGPL licence from
https://bitbucket.org/oscarlib/oscar.
Piccart, M., Biganzoli, L., and Di Leo, A. (2000). The im-
pact of chemotherapy dose density and dose intensity
on breast cancer outcome: what have we learned? Eur
J Cancer., 36(Suppl 1).
van Dam, P. A. et al. (2013). A dynamic clinical pathway
for the treatment of patients with early breast cancer
is a tool for better cancer care: implementation and
prospective analysis between 2002–2010. World Jour-
nal of Surgical Oncology, 11(1):70.
Van Hentenryck, P. and Michel, L. (2009). Constraint-
based Local Search. MIT Press.
Vieira, B. et al. (2016). Operations research for resource
planning and -use in radiotherapy: a literature re-
view. BMC Medical Informatics and Decision Mak-
ing, 16(1):149.
Walter, F., Bass, N., Bock, G., and Markel, D. (2007). Suc-
cess of clinical pathways for total joint arthroplasty
in a community hospital. Clin Orthop Relat Res,
7:457:133.
ICEIS 2017 - 19th International Conference on Enterprise Information Systems
470