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Guidelines for the Use of RFID Technology in Transfusion Medicine

Guidelines for the Use of RFID Technology in Transfusion Medicine

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18 Guidel<strong>in</strong>eBloodCare, Dallas, TX; and Mississippi Blood Services,Jackson, MS), <strong>in</strong> conjunction with <strong>the</strong> University <strong>of</strong> Wiscons<strong>in</strong>Madison <strong>RFID</strong> Lab, developed a model to determ<strong>in</strong>eimpact and return on <strong>in</strong>vestment <strong>for</strong> small, medium, andlarge blood centers. The model helps assess cost and benefitcomponents <strong>in</strong>volved <strong>in</strong> implement<strong>in</strong>g <strong>RFID</strong>-enabled processesand technologies on <strong>the</strong> blood center end <strong>of</strong> <strong>the</strong>transfusion medic<strong>in</strong>e supply cha<strong>in</strong>.Impact AnalysisThe impact analysis study associated with <strong>the</strong> ROI modelwas designed to estimate <strong>the</strong> impact that <strong>RFID</strong> will have onblood center operations <strong>in</strong> terms <strong>of</strong> productivity, quality,and safety. The Impact Analysis consists <strong>of</strong> three ma<strong>in</strong> sections:Bus<strong>in</strong>ess Pr<strong>of</strong>ile, <strong>RFID</strong>-Enabled Process Analysis, andOrganizational Impact Analysis.The Bus<strong>in</strong>ess Pr<strong>of</strong>ile gives <strong>in</strong>sight <strong>in</strong>to <strong>the</strong> size, operationalvolumes, resource availability, and f<strong>in</strong>ancial parameters<strong>of</strong> <strong>the</strong> organization, provid<strong>in</strong>g basel<strong>in</strong>es <strong>for</strong>quantification <strong>of</strong> both cost and benefits.The <strong>RFID</strong>-Enabled Process Analysis provides a snapshot<strong>of</strong> a blood center’s current pa<strong>in</strong> po<strong>in</strong>ts by process, type <strong>of</strong>event, and <strong>the</strong> frequency <strong>of</strong> occurrence. Three types <strong>of</strong>bus<strong>in</strong>ess metrics are measured: process efficiency, quality,and patient safety. Each organization should develop anestimate <strong>of</strong> <strong>RFID</strong> impact on <strong>the</strong>se three dimensions (metrics)noted earlier along with a description <strong>of</strong> <strong>the</strong> pa<strong>in</strong> po<strong>in</strong>ts.The Organizational Impact Analysis quantifies <strong>the</strong>impact <strong>of</strong> implement<strong>in</strong>g <strong>RFID</strong> on an organization’s personnel.It gives <strong>in</strong>sight <strong>in</strong>to <strong>the</strong> ef<strong>for</strong>t and resources required toprepare operations staff <strong>for</strong> <strong>RFID</strong> implementation <strong>in</strong> terms<strong>of</strong> tra<strong>in</strong><strong>in</strong>g, communication, and operational impact <strong>of</strong>implement<strong>in</strong>g new <strong>RFID</strong>-enabled processes. The tra<strong>in</strong><strong>in</strong>gef<strong>for</strong>t on <strong>the</strong> new processes will be estimated to <strong>the</strong> po<strong>in</strong>t <strong>of</strong>staff competency and will <strong>in</strong>clude a list<strong>in</strong>g <strong>of</strong> required skillsets. In order to achieve participants’ alignment with <strong>the</strong>new processes, <strong>the</strong> organization as a whole will require agood understand<strong>in</strong>g <strong>of</strong> <strong>the</strong> reasons <strong>for</strong> <strong>the</strong> change and <strong>the</strong>bus<strong>in</strong>ess <strong>in</strong>tent <strong>of</strong> <strong>the</strong> technology implementation.Cost/Benefit MethodologyAn Excel-based model has been developed to estimatecosts, benefits, net present value, and payback period. Thema<strong>in</strong> cost categories <strong>in</strong>cluded <strong>in</strong> <strong>the</strong> model are <strong>RFID</strong> tags,<strong>RFID</strong> hardware, IT <strong>in</strong>frastructure, s<strong>of</strong>tware, <strong>in</strong>tegration, andimplementation. The ma<strong>in</strong> benefit categories are productivity,quality, and patient safety. Input parameters arecollected by survey<strong>in</strong>g processes and technology owners,as well as bus<strong>in</strong>ess systems. Basel<strong>in</strong>e results are calculated<strong>for</strong> an average medium-to-large-sized blood center(200 000–250 000 collections per year).Cost AnalysisIn deploy<strong>in</strong>g <strong>RFID</strong> to all operations, <strong>the</strong> average mediumto-large-sizedblood center will experience <strong>the</strong> follow<strong>in</strong>gareas <strong>of</strong> cost over <strong>the</strong> 5 year plann<strong>in</strong>g horizon.• Start-up costs (Mostly fixed cost - hardware, s<strong>of</strong>tware,implementation, etc.)• Recurr<strong>in</strong>g costs: Variable (direct cost associated with<strong>RFID</strong> – usually <strong>the</strong> largest component and <strong>in</strong>direct cost).Benefit AnalysisIn deploy<strong>in</strong>g <strong>RFID</strong> to all operations, <strong>the</strong> average mediumto-large-sizedblood center will realize benefits <strong>in</strong> <strong>the</strong>follow<strong>in</strong>g areas:• Productivity ga<strong>in</strong>s• Reductions <strong>in</strong> unnecessary discarded product (improvedquality <strong>of</strong> operation)• Improvement <strong>in</strong> manufactur<strong>in</strong>g mix.The model weighs <strong>in</strong>frastructure and implementationcosts, costs over time along with materials, and quantifiesbenefits from <strong>the</strong> user <strong>of</strong> <strong>RFID</strong> based on <strong>the</strong> number <strong>of</strong>blood units collected annually. With <strong>the</strong> given model<strong>in</strong>gassumptions, it is possible to project <strong>for</strong> a medium-tolarge-sizedblood center <strong>the</strong> net present value (benefitsm<strong>in</strong>us cost) realizable over a 5 -year plann<strong>in</strong>g horizon. Themodel considers <strong>the</strong> rate <strong>of</strong> adoption by estimat<strong>in</strong>g <strong>the</strong>number <strong>of</strong> <strong>RFID</strong>-enabled blood products added each year to<strong>the</strong> supply cha<strong>in</strong>. The basic assumption is a gradual rollout<strong>of</strong> <strong>the</strong> technology across products and participants. Theestimated payback period (years to recover <strong>the</strong> <strong>in</strong>vestment)is <strong>the</strong>n calculated. For a medium-to-large blood center(200 000–250 000 collections per year), <strong>the</strong> model predictsa return on <strong>in</strong>vestment <strong>in</strong> 3.9 years. The ROI modelreflects results from a broader impact analysis; <strong>the</strong> ROI <strong>for</strong>larger blood centers will be achieved sooner and will takelonger <strong>for</strong> smaller blood centers. The models are availablefrom BloodCenter <strong>of</strong> Wiscons<strong>in</strong>, In<strong>for</strong>mation ServicesDepartment, PO Box 2178, Milwaukee, WI 53201, USA.Additional BenefitsBeyond <strong>the</strong> benefits that can be f<strong>in</strong>ancially quantified <strong>in</strong><strong>the</strong> cost ⁄ benefit model, stakeholders <strong>in</strong> <strong>the</strong> transfusionmedic<strong>in</strong>e supply cha<strong>in</strong> can expect additional benefits from<strong>RFID</strong> enablement. Most notably, an <strong>RFID</strong>-enabled systemwill enable an <strong>in</strong>frastructure <strong>for</strong> improv<strong>in</strong>g patient safetyon <strong>the</strong> hospital side by add<strong>in</strong>g a safety layer aga<strong>in</strong>stblood ⁄ patient mismatches, and potential improvements <strong>in</strong>process control and efficiency <strong>in</strong> <strong>the</strong> Blood Services.Sensitivity AnalysisBecause <strong>of</strong> <strong>the</strong> nature <strong>of</strong> <strong>the</strong> assessment process and accuracy<strong>of</strong> basel<strong>in</strong>e data use <strong>for</strong> projections, it is advisable toper<strong>for</strong>m a Sensitivity Analysis <strong>for</strong> projections calculated byÓ 2010 The Author(s)Journal compilation Ó 2010 International Society <strong>of</strong> Blood <strong>Transfusion</strong>, Vox Sangu<strong>in</strong>is (2010) 98 (Suppl. 2), 1–24

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