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Health Care Management Science

, Volume 17, Issue 3, pp 215–229 | Cite as

Evaluation of hospital medication inventory policies

  • Marek Gebicki
  • Ed Mooney
  • Shi-Jie (Gary) ChenEmail author
  • Lukasz M. Mazur
Article

Abstract

As supply chain costs constitute a large portion of hospitals’ operating expenses and with $27.7 billion spent by the US hospitals on drugs alone in 2009, improving medication inventory management provides a great opportunity to decrease the cost of healthcare. This study investigates different management approaches for a system consisting of one central storage location, the main pharmacy, and multiple dispensing machines located in each department. Each medication has a specific unit cost, availability from suppliers, criticality level, and expiration date. Event-driven simulation is used to evaluate the performance of several inventory policies based on the total cost and patient safety (service level) under various arrangements of the system defined by the number of drugs and departments, and drugs’ criticality, availability, and expiration levels. Our results show that policies that incorporate drug characteristics in ordering decisions can address the tradeoff between patient safety and cost. Indeed, this study shows that such policies can result in higher patient safety and lower overall cost when compared to traditional approaches. Additional insights from this study allow for better understanding of the medication inventory system’s dynamics and suggest several directions for future research in this topic. Findings of this study can be applied to help hospital pharmacies with managing their inventory.

Keywords

Inventory management Inventory policies Pharmacy Medication supply chain Simulation 

References

  1. 1.
    Kamani P (2004) Hospital supply chain savings. Ascet, San Francisco: Montgomery Research Inc. www.unspsc.org/AdminFolder/Documents/Montgomery_Kamani_FINAL.pdf. Accessed 10 October 2008
  2. 2.
    Grossman RL (2000) The battle to control online purchasing. Health Forum J 43:18–21Google Scholar
  3. 3.
    McKone-Sweet KE, Hamilton P, Willis SB (2005) The ailing healthcare supply chain: a prescription for change. J Supply Chain Manag 41:4–17CrossRefGoogle Scholar
  4. 4.
    Institute of Medicine (2005) Building a better delivery system: a new engineering/heath care partnership. A Report of the Institute of Medicine, Washington DCGoogle Scholar
  5. 5.
    Connors V (2003) Merchandise management and the pharmacy technician. Tech Talk. http://www.pharmacygateway.ca/tech_ce/pdfs/TT_CE_Nov03_ENG.pdf. Accessed 24 October 2008
  6. 6.
    Doloresco F, Fominaya C, Schumock GT, Vermeulen LC, Matusiak L, Hunkler RJ, Shah ND, Hoffman JM (2011) Projecting future drug expenditures. Am J Health Syst Pharm 68:921–932CrossRefGoogle Scholar
  7. 7.
    American Hospital Association (2010) Fast facts on US hospitals. http://www.aha.org/aha/resource-center/Statistics-and-Studies/101207fastfacts.pdf. Accessed 04 December 2011
  8. 8.
    Pedersen CA, Schneider PJ, Scheckelhoff DJ (2010) ASHP national survey of pharmacy practice in hospital settings: monitoring and patient education. Am J Health Syst Pharm 67:542–558CrossRefGoogle Scholar
  9. 9.
    Institute of Medicine (2006) Preventing medication errors: quality chasm series. A Report of the Institute of Medicine, Washington DCGoogle Scholar
  10. 10.
    Joint Commission (2011) National patient safety goals. http://www.jointcommission.org/2012_national_patient_safety_goals_-_easy-to-read_version. Accessed 26 December 2012
  11. 11.
    Guida R, Iannone R, Miranda S, Riemma S, Sarno D (2012) From patients’ needs to hospital pharmacy management: an holistic approach to the process modelling. In: Backfrieder, Bruzzone, Longo, Novak, Rosen (eds) Proceedings of the International Workshop on Innovative Simulation for Health Care 2012, Vienna AustriaGoogle Scholar
  12. 12.
    Mooney EL (2005) SIMPL—a C++ simulation programming library. Unpublished Documentation, Montana State UniversityGoogle Scholar
  13. 13.
    Vila-Parrish AR (2010) Dynamic inventory management policies for perishable and short lifecycle products under demand uncertainty. Dissertation, North Carolina State UniversityGoogle Scholar
  14. 14.
    DeWalt KM, DeWalt BR (2002) Participant observation. AltaMira Press, Walnut CreekGoogle Scholar
  15. 15.
    Danas K, Roudsari A, Ketikidis PH (2006) The applicability of a multi-attribute classification framework in the healthcare industry. J Manuf Technol Manag 17:772–785CrossRefGoogle Scholar
  16. 16.
    Lee HL, Padmanabhan V, Wang S (1997) The bullwhip effect in supply chains. Sloan Manag Rev 38:93–102Google Scholar
  17. 17.
    Miragliotta G (2006) Layers and mechanisms: a new taxonomy for the bullwhip effect. Int J Prod Econ 104:365–381CrossRefGoogle Scholar
  18. 18.
    Kelepouris T, Miliotis P, Pramatari K (2008) The impact of replenishment parameters and information sharing on the bullwhip effect: a computational study. Comput Oper Res 35:3657–3670CrossRefGoogle Scholar
  19. 19.
    Danas K, Ketikidis PH, Roudsari A (2002) A virtual hospital pharmacy inventory: an approach to support unexpected demand. Int J Med Mark 2:125–129Google Scholar
  20. 20.
    Al-Qatawneh L, Hafeez K (2011) Healthcare logistics cost optimization using a multi-criteria inventory classification. International Conference on Industrial Engineering and Operations Management, Kuala LumpurGoogle Scholar
  21. 21.
    Cheng SH, Whittemore GJ (2008) An engineering approach to improving hospital supply chains. Thesis, Massachusetts Institute of TechnologyGoogle Scholar
  22. 22.
    Rosales CR (2011) Technology enabled new inventory control policies in hospitals. Dissertation, University of CincinnatiGoogle Scholar
  23. 23.
    Simchi-Levi D, Kaminsky P, Simchi-Levi E (2008) Designing and managing the supply chain. McGraw-Hill/Irwin, New YorkGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Marek Gebicki
    • 1
  • Ed Mooney
    • 1
  • Shi-Jie (Gary) Chen
    • 2
    Email author
  • Lukasz M. Mazur
    • 3
  1. 1.Department of Mechanical and Industrial EngineeringMontana State UniversityBozemanUSA
  2. 2.Department of Industrial and Systems EngineeringNorthern Illinois UniversityDeKalbUSA
  3. 3.Department of Radiation Oncology – School of MedicineUniversity of North CarolinaChapel HillUSA

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