References
- Hazzazi N, Wijesekera D, Hindawi S. Formalizing and Verifying Workflows Used in Blood Banks. Procedia Technol. 2014;16:1271–1280.
- Harmening D. Modern Blood Banking & Transfusion Practices. 5th ed. USA: F.A. Davis; 2005.
- Ould M. Business Process Management. Swindon, UK: BCS; 2018.
- Odeh M, Kamm R. Bridging the gap between business models and system models. Inf Software Technol. 2003;45:1053–1060.
- Tbaishat D, Odeh Y, Tbakhi A, Odeh M Deriving Object-based Business Process Architectures Using Role-based Business Process Models: a Reverse-Engineering Approach Applied to the Cell Therapy and Applied Genomics in a Cancer Care Organisation. In: 1st International Conference on Cancer Care Informatics (CCI). Amman: IEEE. 2019. 119–124.
- Odeh Y, Tbaishat D, AlOkaily A, et al. Informing Business Process Models Adherence to Protocols via Business Process Modelling: the Case of Cell Therapy and Applied Genomics in Cancer Care. In: 1st International Conference on Cancer Care Informatics (CCI). Amman: IEEE. 2019. 82–99.
- Odeh Y, Tbaishat D, Sharma S, Aburub F, Tbakhi A, Odeh M Using Business Process Models to Inform Deriving State Transition Diagrams: applied to BMT Lab in a Cancer Organization. In: 1st International Conference on Cancer Care Informatics (CCI). Amman: IEEE. 2019. 180–187.
- Odeh Y, Green S, Odeh M Deriving Goal-Oriented Models from Business Process Models: applied to Cancer Care Organization. In: 1st International Conference on Cancer Care Informatics (CCI). Amman: IEEE. 2019. 125–135.
- Hammer M, Champy J. Reengineering the Corporation. 4th ed. New York: Harper Business; 1993.
- AbuRub F, Tbaishat D, Odeh Y, Odeh M, Deriving Information Needs from Process Models: the Of Cell Therapy and Bone Morrow Transplant Workflow in Cancer Care Organisation. In: 1st International Conference on Cancer Care Informatics (CCI). Amman: IEEE. 2019. 110–118.
- AbuRub F, Odeh M, Beeson I. Modelling Non-Functional Requirements of business Processes. Inf Software Technol. 2007;49(11–12):1162–1171. doi:10.1016/j.infsof.2006.12.002
- Mohapatra S. Business Process Automation. New Delhi: PHI Learning Private Limited; 2009.
- Petersen K, Feldt R, Mujtaba S, Mattsson M Systematic mapping studies in software engineering. In: 12th International Conference on Evaluation and Assessment in Software Engineering (EASE). Italy: ACM. 2008. 68–77.
- Littell J, Corcoran J, Pillai V. Systematic Reviews and Meta- Analysis. New York, USA: Oxford University Press; 2008.
- Fauzi SSM, Bannerman PL, Staples M Software Configuration Management in Global Software Development: a Systematic Map. In: Asia Pacific Software Engineering Conference. Sydney: IEEE. 2010. 404–413.
- Johannesson P, Perjons E. Design Principles for Process Modelling in Enterprise Application Integration. Inform Syst. 2001;26(3):165–184. doi:10.1016/S0306-4379(01)00015-1
- Krog G, Rieneck K, Clausen F, Steffensen R, Dziegiel M. Blood group genotyping of blood donors: validation of a highly accurate routine method. Transfusion. 2019;59:3264–3274.
- Cheng G, Chiu D, Chung A, et al. A Novel System For Providing Compatible Blood To Patients During Surgery: “Self-Service” Electronic Blood Banking By Nursing Staff. Transfusion. 1996;36:347–350. doi:10.1046/j.1537-2995.1996.36496226151.x
- Wittmann G, Frank J, Schramm W, Spannagl M. Automation and Data Processing with the Immucor Galileo® System in a University Blood Bank. Transfusion Med Hemother. 2007;34:5.
- Katsaliaki K, Brailsford SC. Using Simulation To Improve The Blood Supply Chain. Journal of the Operational Research. Society. 2007;58:219–227.
- Li BN, Chao S, Chui Dong M. SIBAS: a Blood Bank Information System And Its 5-Year Implementation At Macau. Computers in Biology and. Medicine. 2007;37:588–597.
- Katsaliaki K. Cost-effective practices in the Blood Service Secto’r. Health Policy. 2008;86:2–3. doi:10.1016/j.healthpol.2007.11.004
- Chiang J. An Investigation of Business Process Management on the application of RFID ~ On the Case of Medical Blood Pack Handling. Int J Electronic Business Manage. 2008;6:174–183.
- Cohen MA, Pierskalla WP. Simulation of blood bank systems. ACM SIGSIM Simulation Digest. 1979;10:14–18.
- Davis R, Geiger B, Gutierrez A, Heaser J, Veeramani D. Tracking Blood Products In Blood Centres Using Radio Frequency Identification: a Comprehensive Assessment. Vox Sanguinis. 2009;97:50–60. doi:10.1111/j.1423-0410.2009.01174.x
- Wong K. Virtual Blood Bank. J Pathol Informatics. 2011;16. doi:10.4103/2153-3539.78039
- Berenbach B, Rea D, Schneide F Process Modelling For Requirements Engineering: a Medical System Case Study. In: 23rd Annual International Symposium of the International Council on Systems Engineering, INCOSE 2013. 2013. 627–638.
- Shin K, Kim H, Chang C, Lee E. Economic And Workflow Analysis Of A Blood Bank Automated System. Ann Lab Med. 2013;33(4):268–273. doi:10.3343/alm.2013.33.4.268
- Cheng YW, Wilkinson JM. An Experience Of The Introduction Of A Blood Bank Automation System (Orth:O Autovue Innova) In A Regional Acute Hospital. Transfus Apheresis Sci. 2015;53:58–63. doi:10.1016/j.transci.2015.03.007
- Barendregt R, Lamo Y, Rabbi F. A Bottom-up Approach for Synchronous User Interaction Design and Workflow Modelling. Procedia Comput Sci. 2016;98:340–347. doi:10.1016/j.procs.2016.09.051
- Jhang J, Francis R, Winkler A. How do we perform and bill for blood bank physician consultative services? Transfusion. 2017;57:2311–2318. doi:10.1111/trf.14264
- Chung H, Hur M, Choi S, et al. Benefits of VISION Max automated cross-matching in comparison with manual cross-matching: a multidimensional analysis. PLoS One. 2019;14(12):12. doi:10.1371/journal.pone.0226477
- Jalali A, Lonsdale H, Zamora L, et al. Machine Learning Applied to Registry Data: development of a Patient-Specific Prediction Model for Blood Transfusion Requirements During Craniofacial Surgery Using the Pediatric Craniofacial Perioperative Registry Dataset. Anesthesia Analg. 2020;132:160–171.
- Aliaga P, Labata G, Aranda A, et al. Improvement of blood processing and safety by automation and Pathogen Reduction Technology. Transfusion Med Hemother. 2021;48:5.
- Kiruthika S, Sakthi P, Kaviya M. Blood Bank Monitoring and Blood Identification System Using Iot Device. Annals of the Romanian Society for Cell. Biology. 2021;25:182–192.
- Passwater M, Huggins YM, Delvo Favre ED, Mukhtar F, Pelletier JP. Adding automation and independent dual verification to reduce wrong blood in tube (WBIT) events. Am. J. Clin. Pathol. 2022;158(2):212–215. doi:10.1093/ajcp/aqac031
- Helming J, Koegel M, Schneider F, et al. Towards a Unified Requirements Modeling Language. In: Fifth International Workshop on Requirements Engineering Visualization. 2010. 53–57.
- Object Management Group. BPMN 2.0 (2010). Available from: https://www.omg.org/spec/BPMN/2.0/About-BPMN. Accessed July 20, 2022.
- Dada A, Beck D, Al Amiri A, Huver K. Management Of Immunohaematological Testing And Workflow Using Automated Technologies In Routine Blood Banks. LaboratoriumsMedizin. 2008;32:70–77. doi:10.1515/JLM.2008.016
- Bahar B, Tormey C. Prevention of Transfusion-Associated Graft-Versus-Host Disease With Blood Product Irradiation: the Past, Present, and Future. Archives of Pathology & Laboratory. Medicine. 2018;142:662–667.
- Shapiro M. The filter blood or universal leukoreduction: what is the answer? Crit Care. 2004;8(Suppl 2):27. doi:10.1186/cc2453
- Ministry of Health. Home page - Ministry of Health; 2021 Available from: http://moh.gov.jo/Pages/viewpage.aspx?pageID=288. Accessed April 25, 2021.
- World Health Organization. Design Guidelines for Blood Centers. Switzerland: World Health Organization Regional Office for Western Pacific; 2010.
- American Association for the Advancement of Blood and Biotherapies (AABB). Standards for Blood Banks and Transfusion Services; 2018.
- Gupte SC. Automation in Blood Centre: its impact on Blood Safety. Asian J Transfus Sci. 2015;9:S6–S10.
- Pérez Aliaga AI, Labata G, Aranda A, et al. Improvement of blood processing and safety by automation and pathogen reduction technology. Transfusion Med Hemother. 2021;48:290–297. doi:10.1159/000516696