Approaches to assessing and minimizing blood wastage in the hospital and blood supply chain

Despite the scale of blood usage worldwide, blood remains a scarce and precious resource. As with any perishable product, careful management of inventories to minimize wastage is crucial. However, due to the nature of the supply of blood, wastage is not only an economic issue as every unit wasted, squanders the time and effort of the human donor. Blood inventory management is therefore a trade‐off, ensuring 100% availability of all blood products at all times whilst minimizing wastage. Hospitals are at the front line of blood use and are the location where much blood is wasted. Inventory management practices in hospital transfusion laboratories are critical. Much of the extant literature in this area posits that good management of hospital blood inventories is due to sophisticated inventory models and algorithms. However, recent research has found that good management practices are much more important. The drivers for low wastage and good inventory management practice can be described using six key themes. Blood supply chain management is much more than managing wastage in hospitals. Proper management of the supply chain as a whole can lead to significant reductions in blood wastage. Recent research has found that methods commonly used in commercial supply chain management can lead to efficiencies in the blood supply chain context. An example of this is stock sharing or lateral transhipment of blood units close to expiry between hospitals, reducing wastage across the supply chain.

[1]  Michael Carter,et al.  Tutorial on constructing a red blood cell inventory management system with two demand rates , 2008, Eur. J. Oper. Res..

[2]  Bülent Sezen,et al.  Changes in performance under various lengths of review periods in a periodic review inventory control system with lost sales: A simulation study , 2006 .

[3]  Jim Freeman,et al.  Inventory Control and Management , 1992 .

[4]  E Brodheim,et al.  A computer planning model for blood platelet production and distribution. , 1991, Computer methods and programs in biomedicine.

[5]  Moncer Hariga Optimal inventory policies for perishable items with time-dependent demand , 1997 .

[6]  R. Cook,et al.  The Blood Stocks Management Scheme, a partnership venture between the National Blood Service of England and North Wales and participating hospitals for maximizing blood supply chain management , 2002, Vox sanguinis.

[7]  W. Pierskalla,et al.  Target Inventory Levels for a Hospital Blood Bank or a Decentralized Regional Blood Banking System , 1979, Transfusion.

[8]  René Haijema,et al.  Blood platelet production: a novel approach for practical optimization , 2009, Transfusion.

[9]  Ruud H. Teunter,et al.  Inventory models with lateral transshipments: A review , 2011, Eur. J. Oper. Res..

[10]  G. Prastacos Blood Inventory Management: An Overview of Theory and Practice , 1984 .

[11]  Pellgrino Ed OUTPATIENT SERVICES-- FOCAL POINT IN COMPREHENSIVE HEALTH CARE. , 1964 .

[12]  A. Segerstedt,et al.  Polarica’s wild berries : an example of a required storage capacity calculation and where to locate this inventory , 2004 .

[13]  P. D. Cumming,et al.  A Collections Planning Model for Regional Blood Suppliers: Description and Validation , 1976 .

[14]  E. Vamvakas,et al.  Epidemiology of red blood cell utilization. , 1996, Transfusion medicine reviews.

[15]  Steven Nahmias,et al.  Perishable Inventory Theory: A Review , 1982, Oper. Res..

[16]  Kenneth E. Kendall,et al.  Formulating Blood Rotation Policies with Multiple Objectives , 1980 .

[17]  W. Owens,et al.  Age of blood in inventory at a large tertiary care hospital , 2001, Vox sanguinis.

[18]  Evi Hartmann,et al.  Lateral transshipments: an institutional theory perspective , 2013 .

[19]  Philip T. Evers,et al.  HIDDEN BENEFITS OF EMERGENCY TRANSSHIPMENTS. , 1997 .

[20]  T. Liao,et al.  Optimization of blood supply chain with shortened shelf lives and ABO compatibility , 2014 .

[21]  E L HURLBURT,et al.  Blood Bank Inventory Control , 1964, Transfusion.

[22]  Richard Wilding,et al.  Blood inventory management: hospital best practice. , 2012, Transfusion medicine reviews.

[23]  Okitsugu Fujiwara,et al.  EOQ models for continuously deteriorating products using linear and exponential penalty costs , 1993 .

[24]  Jc Jan Fransoo,et al.  Consumer responses to shelf out‐of‐stocks of perishable products , 2007 .

[25]  Korina Katsaliaki,et al.  Cost-effective practices in the blood service sector. , 2008, Health policy.

[26]  Gregory P. Prastacos,et al.  Critical number ordering policy for LIFO perishable inventory systems , 1981, Comput. Oper. Res..

[27]  D. Triulzi,et al.  Electronic enhancements to blood ordering reduce component waste , 2016, Transfusion.

[28]  A. A. Kranenburg,et al.  A new partial pooling structure for spare parts networks , 2009, Eur. J. Oper. Res..

[29]  Karel H. van Donselaar,et al.  A heuristic to manage perishable inventory with batch ordering, positive lead-times, and time-varying demand , 2009, Comput. Oper. Res..

[30]  E. Reynolds,et al.  The impact of improved safety on maintaining a sufficient blood supply. , 2001, Transfusion clinique et biologique : journal de la Societe francaise de transfusion sanguine.

[31]  Gregory P. Prastacos,et al.  On the Evaluation of a Class of Inventory Policies for Perishable Products Such as Blood , 1975 .

[32]  Eylem Tekin,et al.  Age-based vs. stock level control policies for a perishable inventory system , 2001, Eur. J. Oper. Res..

[33]  Karen Spens,et al.  Using simulation to increase efficiency in blood supply chains , 2006 .

[34]  S. Urbaniak,et al.  The supply of blood products in 10 different systems or countries. , 2000, Transfusion science.

[35]  David Hughes,et al.  “Partnership in produce”: the J Sainsbury approach to managing the fresh produce supply chain , 1996 .

[36]  Eric Brodheim,et al.  Computer-based regional blood distribution , 1979, Comput. Oper. Res..

[37]  Jani Kilpi,et al.  Pooling of spare components between airlines , 2004 .

[38]  Donald Wesley Millard Industrial inventory models as applied to the problem of inventorying whole blood , 1959 .

[39]  Eb Erik Diks,et al.  Controlling a divergent 2-echelon network with transshipments using the consistent appropriate share rationing policy : working paper , 1996 .

[40]  T. Cobain Fresh blood product manufacture, issue, and use: a chain of diminishing returns? , 2004, Transfusion medicine reviews.

[41]  J F Chapman,et al.  Blood inventory management , 2004, Vox sanguinis.

[42]  Judith Chapman Unlocking the essentials of effective blood inventory management , 2007, Transfusion.

[43]  Walter H Dzik,et al.  Patient safety and blood transfusion: new solutions. , 2003, Transfusion medicine reviews.

[44]  A. G. de Kok Controlling a divergent 2-echelon network with transshipments using the consistent appropriate share rationing policy , 2003 .

[45]  C Hyam,et al.  Hospital Blood Inventory Practice: the factors affecting stock level and wastage , 2009, Transfusion medicine.

[46]  Fred Raafat,et al.  Survey of Literature on Continuously Deteriorating Inventory Models , 1991 .

[47]  Gregory P. Prastacos,et al.  PBDS: A Decision Support System for Regional Blood Management , 1980 .

[48]  Michael H. Kanter,et al.  Transfusion medicine. First of two parts--blood transfusion. , 1999 .