Management Theories and Methods

  • Weihui DaiEmail author
  • Huajuan Mao


The management of endovascular devices consists of the internal management in clinical departments and the supply chain management from suppliers to clinical departments. Based on the objects of management, it can be classified into device management, supplier management, device technician or nurse management, and patient management. The internal management in clinical departments related to endovascular devices mainly involves the barcode information entry of various devices, warehousing and ex-warehouse registration, use traceability, classified placement, optimized layout, and other links; attentions must be paid to requirements on the period of validity and storage environment for devices in the principle of “first in, first out,” so as to conveniently and precisely pick up and maximally avoid contamination, failure, loss, or wastage in other manners and properly conduct related management work. Based on the abovementioned management requirements and characteristics, this chapter discusses the management theories and methods of endovascular devices from the perspective of the whole-process supply chain.


Endovascular devices Agile supply chain management Autonomous intelligent decision-making 


  1. 1.
    Mao H, Jin S, Dai W, et al. Study of the agile supply chain on high-value consumables used in surgical operations. Chinese Journal of Hospital Administration. 2014;6(30):466–9.Google Scholar
  2. 2.
    Mao H, Chen Z, Dai W, et al. Informationization management of high-value interventional consumables to face the dynamic demand. Journal of Medical Informatics. 2014;8(27):57–8.Google Scholar
  3. 3.
    Mao Y. Interventional therapy nursing. Beijing: People’s Military Medical Press; 2013.Google Scholar
  4. 4.
    Zhang Z. Operation room nursing technology manual. Beijing: People’s Military Medical Press; 2000.Google Scholar
  5. 5.
    Wei K, Liu S. Operation Room Nursing. Beijing: People’s Military Medical Press; 2003.Google Scholar
  6. 6.
    Ministry of Construction of the People’s Republic of China, General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China. Specifications of hospital clean operation room building. Beijing: Ministry of Construction of the People’s Republic of China, General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China; 2002.Google Scholar
  7. 7.
    Shou H, Xu X, Zhang X, et al. Effects of ambient temperature on core temperature of senile patients during operation in the operating room. J Pract Med. 2005;21(6):555–7.Google Scholar
  8. 8.
    Zhong C, Jiang X. Evaluation of application effect of hydrocolloid transparent paste in treatment of stage I bedsore of the elderly patient. Chin J Pract Nurs. 2014;30(16):42–3.Google Scholar
  9. 9.
    Wang Z, Lou H, Lou Y, et al. Application of use amount and effect analysis in medical consumables. Chin J Hosp Adm. 2012;18(1):54–6.Google Scholar
  10. 10.
    Wu J, Sun C, Liu H. Research report on income and expenditure of medical consumables. Money China. 2015;5:72.Google Scholar
  11. 11.
    Xie L, Xie H, Wei H. Medical instrument not good event risk guard and management. Chin Health Serv Manage. 2006;8:510–1.Google Scholar
  12. 12.
    Han Y, Wang X, Hu C, et al. Analysis of medical devices events in clinical nursing and management. Chin J Nurs. 2008;43(10):924–6.Google Scholar
  13. 13.
    Pishvaee MS, Razmi J, Torabi SA. An accelerated Benders decomposition algorithm for sustainable supply chain network design under uncertainty: A case study of medical needle and syringe supply chain. Transport Res E-Log. 2014;67:14–38.CrossRefGoogle Scholar
  14. 14.
    Yu K. Dynamic supplying management research of medical consumables for clinical surgery. Master dissertation of Fudan University; 2014.Google Scholar
  15. 15.
    Rosales CR, Magazine M, Rao U. The 2Bin system for controlling medical supplies at point-of-use. Eur J Oper Res. 2015;243(1):271–80.CrossRefGoogle Scholar
  16. 16.
    Christopher M. Supply chain migration from lean and functional to agile and customized. Supply Chain Manag Int J. 2000;5:206–13.CrossRefGoogle Scholar
  17. 17.
    Kong X, Feng M, Wang R. The current status and challenges of establishment and utilization of medical big data in China. Eur Geriatr Med. 2015;6(6):515–7.CrossRefGoogle Scholar
  18. 18.
    Ramani KV. Managing hospital supplies. Health Organ Manag. 2006;20(3):218–26.CrossRefGoogle Scholar
  19. 19.
    Padula W, Makic MB, Epstein Z, et al. Using machine learning to populate a Markov model by mining big data directly from hospital ehrs-An application to dynamically predict hospital-acquired pressure ulcers. Value Heal. 2015;18(7):PA694.CrossRefGoogle Scholar
  20. 20.
    Heinbuch SE. Total quality materials management and just-in-time. Manag Med. 1995;9(2):48–56.CrossRefGoogle Scholar
  21. 21.
    Ritchie L, Burnes B, Whittle P, et al. The benefits of reverse Logisties. Supply Chain Manag. 2000;5(3):226–33.CrossRefGoogle Scholar
  22. 22.
    Young ST. Prime vendor and hospital purchasing relationships. Int J Phys Distrib Logist Manag. 2007;19(9):27–30.Google Scholar
  23. 23.
    Luo X, Liu Y. Medical big data research situation and its clinical application. J Med Inform. 2015;36(5):10–4.Google Scholar
  24. 24.
    Xu Z, Feng Z, Guo X, et al. Big data-driven management and decision frontier topics. Manage World. 2014;11:158–63.Google Scholar
  25. 25.
    Huajuan Mao, Research and realization of doctor’s prescription behavior analysis system. master dissertation of Fudan University, 2010.Google Scholar
  26. 26.
    Eng TY. Mobile supply chain management: challenges for implementation. Technovation. 2006;26(5–6):682–6.CrossRefGoogle Scholar
  27. 27.
    Yu Y. Study on grid model and dynamic negotiation mechanism for agile supply chain under mobile environment. Master dissertation of Fudan University; 2010.Google Scholar
  28. 28.
    Huang H. Study and realization of integrated technology for agile supply chain under mobile environment. Master dissertation of Fudan University; 2010.Google Scholar
  29. 29.
    Cacioppo JT, Berntson GG. Social psychological contributions to the decade of the brain: doctrine of multilevel analysis. Am Psychol. 1992;47:1019–28.CrossRefPubMedGoogle Scholar
  30. 30.
    Ma Q, Wang X. From Neuroeconomics and Neuromarketing to Neuromanagement. J Ind Eng Eng Manag. 2006;20(3):129–32.Google Scholar
  31. 31.
    Dai W. Study on China’s translational medicine development strategy: forward-looking medical information technology (1st draft). Major strategic advisory report of Chinese Academy of Engineering; 2014Google Scholar
  32. 32.
    Dai W. Context awareness and emotional intelligence: the gateway to smart city. Urban Manag. 2012;4:29–32.Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. and Shanghai Scientific and Technical Publishers 2018

Authors and Affiliations

  1. 1.School of ManagementFudan UniversityShanghaiChina
  2. 2.Department of Vascular SurgeryChanghai Hospital, Second Military Medical UniversityShanghaiChina

Personalised recommendations