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Detecting Anomalies in Controlled Drug Prescription Data Using Probabilistic Models

  • Conference paper
Artificial Life and Computational Intelligence (ACALCI 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8955))

Abstract

Opioid analgesic drugs are widely used in pain management and substance dependence treatment. However, these drugs have high potential for misuse and subsequent harm. As a result, their prescribing is monitored and controlled. In Queensland, Australia, the Medicines Regulation and Quality Unit within the state health system maintains a database of prescribing events and uses this data to identify anomalies and provide subsequent support for patients and prescribers. In this study, we consider this task as an unsupervised anomaly detection problem. We use probability density estimation models to describe the distribution of the data over a number of key attributes and use the model to identify anomalies as points with low estimated probability. The results are validated against cases identified by healthcare domain experts. There was strong agreement between cases identified by the models and expert clinical assessment.

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References

  1. Access Economics Pty Ltd. The high price of pain: the economic impact of persistent pain in australia. MBF Foundation in collaboration with University of Sydney Pain Management Research Institute (2007)

    Google Scholar 

  2. Australian Government: Fentanyl, transdermal patch, releasing approximately 12, 25, 50, 75 or 100 micrograms per hour, Durogesic 12/25/50/75/100 (March 2006), http://www.pbs.gov.au/info/industry/listing/elements/pbac-meetings/psd/2006-03/fentanyl

  3. Bell, J.R.: Australian trends in opioid prescribing for chronic non-cancer pain, 1986-1996. The Medical journal of Australia 167(1), 26–29 (1997)

    Google Scholar 

  4. Bruno, R.: Benzodiazepine and pharmaceutical opioid misuse and their relationship to crime, tasmanian report. NDLERF Monograph Series (22) (2007)

    Google Scholar 

  5. Centers for Disease Control: Unintentional drug poisoning in the united states (2010), http://www.cdc.gov/HomeandRecreationalSafety/Poisoning/index.html

  6. Centers for Disease Control and Prevention: Overdose deaths involving prescription opioids among medicaid enrollees-washington, 2004-2007. MMWR: Morbidity and Mortality Weekly Report 58(42), 1171–1175 (2009)

    Google Scholar 

  7. Centers for Disease Control and Prevention: Emergency department visits involving nonmedical use of selected prescription drugs-united states, 2004-2008. MMWR: Morbidity and Mortality Weekly Report 59(23), 705–709 (2010)

    Google Scholar 

  8. Centers for Disease Control and Prevention: Drug overdose deaths–florida, 2003-2009. MMWR. Morbidity and mortality weekly report 60(26), 869 (2011)

    Google Scholar 

  9. Chandola, V., Banerjee, A., Kumar, V.: Anomaly detection: A survey. ACM Computing Surveys (CSUR) 41(3), 15 (2009)

    Article  Google Scholar 

  10. Commonwealth of Australia: Therapeutic goods act 1989 (1989), http://www.comlaw.gov.au/Series/C2004A03952

  11. Commonwealth of Australia: Schedule 1-standard for the uniform scheduling of medicines and poisons, therapeutic goods act 1989 (2010), http://www.comlaw.gov.au/Series/C2004A03952

  12. Compton, W.M., Volkow, N.D.: Major increases in opioid analgesic abuse in the united states: concerns and strategies. Drug and Alcohol Dependence 81(2), 103–107 (2006)

    Article  Google Scholar 

  13. Degenhardt, L., Degenhardt, L., Black, E., Degenhardt, L., Black, E., Breen, C., Degenhardt, L., Black, E., Breen, C., Bruno, R., et al.: Trends in morphine prescriptions, illicit morphine use and associated harms among regular injecting drug users in australia. Drug and Alcohol Review 25(5), 403–412 (2006)

    Article  Google Scholar 

  14. Dobbin, M.A.: Misuse of pharmaceutical drugs in australia. Ministerial Council on Drug Strategy, Melbourne (2009)

    Google Scholar 

  15. Dobbin, M.A.: Australian evidence on opioids. personal communication (2010)

    Google Scholar 

  16. Dougherty, J., Kohavi, R., Sahami, M.: Supervised and unsupervised discretization of continuous features. In: Proceedings of the Twelfth International Conference of Machine Learning, pp. 194–202 (1995)

    Google Scholar 

  17. Drugs and Crime Prevention Committee: Final report on inquiry into misuse/abuse of benzodiazepines and other pharmaceutical drugs. Tech. rep., Parliament of Victoria (2007)

    Google Scholar 

  18. Fischer, B., Nakamura, N., Rush, B., Rehm, J., Urbanoski, K.: Changes in and characteristics of admissions to treatment related to problematic prescription opioid use in ontario, 2004–2009. Drug and Alcohol Dependence 109(1), 257–260 (2010)

    Article  Google Scholar 

  19. Fischer, B., Rehm, J.: Deaths related to the use of prescription opioids. Canadian Medical Association Journal 181(12), 881–882 (2009)

    Article  Google Scholar 

  20. Health Insurance Commission: Annual report 1996–1997. Tech. rep., HIC, Canberra (1998)

    Google Scholar 

  21. Joranson, D.E., Ryan, K.M., Gilson, A.M., Dahl, J.L.: Trends in medical use and abuse of opioid analgesics. Jama 283(13), 1710–1714 (2000)

    Article  Google Scholar 

  22. Leong, M., Murnion, B., Haber, P.: Examination of opioid prescribing in australia from 1992 to 2007. Internal Medicine Journal 39(10), 676–681 (2009)

    Article  Google Scholar 

  23. Manchikanti, L., Singh, A.: Therapeutic opioids: a ten-year perspective on the complexities and complications of the escalating use, abuse, and nonmedical use of opioids. Pain Physician 11(2 Suppl.), S63–S88 (2008)

    Google Scholar 

  24. Mattick, R.P., Kimber, J., Breen, C., Davoli, M.: Buprenorphine maintenance versus placebo or methadone maintenance for opioid dependence. Cochrane Database of Systematic Reviews 2 (2014)

    Google Scholar 

  25. Merrick, M.: Prescription opioids and overdose deaths. JAMA 301(17), 1766–1769 (2009)

    Article  Google Scholar 

  26. Nielsen, S., Barratt, M.J.: Prescription drug misuse: is technology friend or foe? Drug and Alcohol Review 28(1), 81–86 (2009)

    Article  Google Scholar 

  27. Noble, M., Treadwell, J.R., Tregear, S.J., Coates, V.H., Wiffen, P.J., Akafomo, C., Schoelles, K.M.: Long-term opioid management for chronic noncancer pain. Cochrane Database Syst. Rev. 1(1) (2010)

    Google Scholar 

  28. Obenshain, M.K.: Application of data mining techniques to healthcare data. Infection Control and Hospital Epidemiology 25(8), 690–695 (2004)

    Article  Google Scholar 

  29. Okie, S.: A flood of opioids, a rising tide of deaths. New England Journal of Medicine 363(21), 1981–1985 (2010)

    Article  Google Scholar 

  30. Patcha, A., Park, J.M.: An overview of anomaly detection techniques: Existing solutions and latest technological trends. Computer Networks 51(12), 3448–3470 (2007)

    Article  Google Scholar 

  31. Paulozzi, L.J., Budnitz, D.S., Xi, Y.: Increasing deaths from opioid analgesics in the united states. Pharmacoepidemiology and Drug Safety 15(9), 618–627 (2006)

    Article  Google Scholar 

  32. Paulozzi, L.J., Kilbourne, E.M., Desai, H.A.: Prescription drug monitoring programs and death rates from drug overdose. Pain Medicine 12(5), 747–754 (2011)

    Article  Google Scholar 

  33. Queensland Government: Health (drugs and poisons) regulation 1996 (1996), http://www.legislation.qld.gov.au/LEGISLTN/CURRENT/H/HealDrAPoR96.pdf

  34. Rintoul, A.C., Dobbin, M.D., Drummer, O.H., Ozanne-Smith, J.: Increasing deaths involving oxycodone, victoria, australia, 2000–09. Injury Prevention, p. ip–2010 (2010)

    Google Scholar 

  35. Rintoul, A., et al.: Coronial deaths involving prescription opioids. victoria, 2000-2009. Presented at the Australian Mortality Data Interest Group, Melbourne (2010)

    Google Scholar 

  36. Roxburgh, A., Bruno, R., Larance, B., Burns, L.: Prescription of opioid analgesics and related harms in australia. The Medical Journal of Australia 195(5), 280–284 (2011)

    Article  Google Scholar 

  37. The Royal Australasian College of Physicians: Prescription opioid policy: Improving management of chronic non-malignant pain and prevention of problems associated with prescription opioid use (2009), http://www.racp.edu.au/index.cfm?objectid=EA87198D-CA47-AB21-072D9B2F26FD4AA3

  38. Wong, W.K., Moore, A., Cooper, G., Wagner, M.: Bayesian network anomaly pattern detection for disease outbreaks. In: ICML, pp. 808–815 (2003)

    Google Scholar 

  39. Yoo, I., Alafaireet, P., Marinov, M., Pena-Hernandez, K., Gopidi, R., Chang, J.F., Hua, L.: Data mining in healthcare and biomedicine: a survey of the literature. Journal of Medical Systems 36(4), 2431–2448 (2012)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia

    Xuelei Hu, Marcus Gallagher & Janet Wiles

  2. Medicines Regulation and Quality Unit, Queensland Health, Brisbane, Australia

    William Loveday

  3. Discipline of Psychiatry, The University of Queensland, Brisbane, Australia

    Jason P. Connor

  4. Centre for Youth Substance Abuse Research, The University of Queensland, Brisbane, Australia

    Jason P. Connor

Authors
  1. Xuelei Hu
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  2. Marcus Gallagher
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  3. William Loveday
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  4. Jason P. Connor
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  5. Janet Wiles
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Editor information

Editors and Affiliations

  1. School of Electrical Engineering and Computer Science, The University of Newcastle, 2308, Callaghan, NSW, Australia

    Stephan K. Chalup

  2. School of Computer Science and Engineering, The University of New South Wales, 2052, Sydney, NSW, Australia

    Alan D. Blair

  3. Faculty of Business, Bond University, 4226, Robina, QLD, Australia

    Marcus Randall

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© 2015 Springer International Publishing Switzerland

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Hu, X., Gallagher, M., Loveday, W., Connor, J.P., Wiles, J. (2015). Detecting Anomalies in Controlled Drug Prescription Data Using Probabilistic Models. In: Chalup, S.K., Blair, A.D., Randall, M. (eds) Artificial Life and Computational Intelligence. ACALCI 2015. Lecture Notes in Computer Science(), vol 8955. Springer, Cham. https://doi.org/10.1007/978-3-319-14803-8_26

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  • DOI: https://doi.org/10.1007/978-3-319-14803-8_26

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14802-1

  • Online ISBN: 978-3-319-14803-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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