Colorectal cancer is the fourth most common cancer and the second most common cause of death among both genders. Since early detection can significantly improve patients’ survival rate, one of the physician’s primary obligations is to develop adequate screening plans to achieve early detection. Instead of using operational research models to make screening decisions for physicians, we proposed a decision making support tool to help physicians with their decision making process. Specifically, an information presentation interface is developed on top of a mathematical model to better deliver and illustrate the result of cost and benefit analysis for physicians’ final decision making.
Get full access to this article
View all access options for this article.
References
1.
AyerT.AlagozO.StoutN. K. (2011). A POMDP approach to personalize mammography screening decisions. Operations Research.
2.
CaldwellB. S.EverhartN. C. (1998). Information Flow and Development of Coordination in Distributed Supervisory Control Teams. International Journal of Human-Computer Interaction, 10(1), 51–70. doi:10.1207/s15327590ijhc1001_4
3.
CassandraA. R. (1998). A survey of POMDP applications. In Working Notes of AAAI 1998 Fall Symposium on Planning with Partially Observable Markov Decision Processes (pp. 17–24). Retrieved from http://www.cassandra.org/pomdp/papers/applications.pdf
4.
GarrettS.CaldwellB. (2002). Describing functional requirements for knowledge sharing communities. Behaviour & Information Technology, 21(5), 359–364. doi:10.1080/0144929021000050265
5.
HaggarF. A.BousheyR. P. (2009). Colorectal Cancer Epidemiology: Incidence, Mortality, Survival, and Risk Factors. Clinics in Colon and Rectal Surgery, 22(4), 191–197. doi:10.1055/s-0029-1242458
6.
LevinB.LiebermanD. A.McFarlandB.SmithR. A.BrooksD.AndrewsK. S.… LevinT. R. (2008). Screening and Surveillance for the Early Detection of Colorectal Cancer and Adenomatous Polyps, 2008: A Joint Guideline from the American Cancer Society, the US Multi-Society Task Force on Colorectal Cancer, and the American College of Radiology*†. CA: A Cancer Journal for Clinicians, 58(3), 130–160.
7.
LoomesG.McKenzieL. (1989). The use of QALYs in health care decision making. Social Science & Medicine, 28(4), 299–308. doi:10.1016/0277-9536(89)90030-0
8.
PignoneM.RichM.TeutschS. M.BergA. O.LohrK. N. (2002). Screening for colorectal cancer in adults at average risk: a summary of the evidence for the US Preventive Services Task Force. Annals of Internal Medicine, 137(2), 132–141.
9.
RexD. K.JohnsonD. A.AndersonJ. C.SchoenfeldP. S.BurkeC. A.InadomiJ. M. (2009). American College of Gastroenterology guidelines for colorectal cancer screening 2008. The American Journal of Gastroenterology, 104(3), 739–750.
10.
ShererE. A.AmbedkarS.PerngS.YihY.ImperialeT. F. (2013). A predictive model of longitudinal, patient-specific colonoscopy results. Computer Methods and Programs in Biomedicine, 112(3), 563–579.
11.
SmallM. L. (2009). How many cases do I need?’On science and the logic of case selection in field-based research. Ethnography, 10(1), 5–38.
12.
SmithR. A.CokkinidesV.BrawleyO. W. (2009). Cancer screening in the United States, 2009: a review of current American Cancer Society guidelines and issues in cancer screening. CA: A Cancer Journal for Clinicians, 59(1), 27–41.
13.
SmithR. A.von EschenbachA. C.WenderR.LevinB.ByersT.RothenbergerD.… RunowiczC. (2001). American Cancer Society guidelines for the early detection of cancer: update of early detection guidelines for prostate, colorectal, and endometrial cancers: Also: update 2001—testing for early lung cancer detection. CA: A Cancer Journal for Clinicians, 51(1), 38–75.
14.
WalshJ. M.TerdimanJ. P. (2003). Colorectal cancer screening: scientific review. Jama, 289(10), 1288–1296.
15.
WoolfS. H.ChanE. C.HarrisR.SheridanS. L.BraddockC. H.KaplanR. M.…TunisS. (2005). Promoting informed choice: transforming health care to dispense knowledge for decision making. Annals of Internal Medicine, 143(4), 293–300.
