Big data enabled healthcare supply chain management: Opportunities and challenges

Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

Volumn 224, Issue , 2018, Pages 207-215

  Alotaibi, Shoayee ^a   Mehmood, Rashid ^a  

^a KING ABDULAZIZ UNIVERSITY   (Saudi Arabia)

Author keywords

Big data; Data analytics; Healthcare; Supply chain management

Indexed keywords

BUDGET CONTROL; DECISION MAKING; HEALTH CARE; SUPPLY CHAIN MANAGEMENT;

BIG DATA ANALYTICS; DATA ANALYTICS; HEALTH CARE PROVIDERS; HIGH COSTS; HIGH QUALITY; HIGH QUALITY SERVICE; MEDICAL SERVICES;

BIG DATA;

EID: 85051102428     PISSN: 18678211     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-319-94180-6_21     Document Type: Conference Paper

References (35)

1. Deloitte: 2017 Global Health Care Sector Outlook 2015 (2017)
2. Sultanow, E., Chircu, A.M.: Improving healthcare with data-driven track-and-trace systems. In: Strategic Data Based Wisdom in the Big Data Era, pp. 65–82 (2015)
3. Kwon, I.W.G., Kim, S.H., Martin, D.G.: Healthcare supply chain management; strategic areas for quality and financial improvement. Technol. Forecast. Soc. Change 113, 422–428 (2016)
4. Chen, M., Mao, S., Liu, Y.: Big data: a survey. Mob. Netw. Appl. 19, 171–209 (2014)
5. Malik, M.M., Abdallah, S., Ala’raj, M.: Data mining and predictive analytics applications for the delivery of healthcare services: a systematic literature review. Ann. Oper. Res. 247, 1–26 (2016)
6. Naoui, F.: Customer service in supply chain management: a case study. J. Enterp. Inf. Manag. 27, 786–801 (2014)
7. Akyuz, G.A., Rehan, M.: Requirements for forming an “e-supply chain”. Int. J. Prod. Res. 47, 3265–3287 (2009)
8. Butner, K.: The smarter supply chain of the future. Strateg. Leadersh. 38, 22–31 (2010)
9. Hessman, T.: The dawn of the smart factory. IndustryWeek 14, 14–19 (2013)
10. Ahmad, N., Mehmood, R.: Enterprise systems: are we ready for future sustainable cities. Supply Chain Manag. Int. J. 20, 264–283 (2015)
11. Ahmad, N., Mehmood, R.: Enterprise systems and performance of future city logistics 27, 500–513 (2016). http://dx.doi.org/10.1080/09537287.2016.1147098
12. Mehmood, R., Faisal, M.A., Altowaijri, S.: Future networked healthcare systems: a review and case study. In: Information Resources Management Association (ed.) Big Data: Concepts, Methodologies, Tools, and Applications, pp. 2429–2457. IGI Global (2016)
13. Mehmood, R., Meriton, R., Graham, G., Hennelly, P., Kumar, M.: Exploring the influence of big data on city transport operations: a Markovian approach. Int. J. Oper. Prod. Manag. 37, 75–104 (2017)
14. Suma, S., Mehmood, R., Albugami, N., Katib, I., Albeshri, A.: Enabling next generation logistics and planning for smarter societies. Procedia-Procedia Comput. Sci. 104C, 1–6 (2017)
15. Enabling Smarter Societies through Mobile Big Data Fogs and Clouds. http://www. sciencedirect.com/science/article/pii/S1877050917311213
16. Alam, F., Mehmood, R., Katib, I., Albogami, N.N., Albeshri, A.: Data fusion and IoT for smart ubiquitous environments: a survey. IEEE Access 5, 9533–9554 (2017)
17. Mehmood, R., Alam, F., Albogami, N.N., Katib, I., Albeshri, A., Altowaijri, S.M.: UTiLearn: a personalised ubiquitous teaching and learning system for smart societies. IEEE Access 5, 2615–2635 (2017)
18. Feki, M., Wamba, S.F.: Big data analytics-enabled supply chain transformation: a literature review. In: 49th Hawaii International Conference on System Sciences, pp. 1123–1132 (2016)
19. Hogarth, R.M., Soyer, E.: Using simulated experience to make sense of big data. MIT Sloan Manag. Rev. 56, 49–54 (2015)
20. Gandomi, A., Haider, M.: Beyond the hype: big data concepts, methods, and analytics. Int. J. Inf. Manag. 35, 137–144 (2015)
21. Waller, M.A., Fawcett, S.E.: Data science, predictive analytics, and big data: a revolution that will transform supply chain design and management. J. Bus. Logist. 34, 77–84 (2013)
22. Zhong, R.Y., Newman, S.T., Huang, G.Q., Lan, S.: Big data for supply chain management in the service and manufacturing sectors: challenges, opportunities, and future perspectives. Comput. Ind. Eng. 101, 572–591 (2016)
23. Altowaijri, S., Mehmood, R., Williams, J.: A quantitative model of grid systems performance in healthcare organisations. In: ISMS 2010-UKSim/AMSS 1st International Conference on Intelligent Systems, Modelling and Simulation, pp. 431–436 (2010)
24. Srinivasan, U., Arunasalam, B.: Leveraging big data analytics to reduce healthcare costs. IT Prof. 15, 21–28 (2013)
25. Raghupathi, W., Raghupathi, V.: Big data analytics in healthcare: promise and potential. Health Inf. Sci. Syst. 2, 3 (2014)
26. Feldman, B., Martin, E.M., Skotnes, T.: Big Data in Healthcare-Hype and Hope (2012). http://www.riss.kr/link?id=A99883549
27. Bates, D.W., Saria, S., Ohno-Machado, L., Shah, A., Escobar, G.: Big data in health care: using analytics to identify and manage high-risk and high-cost patients. Health Aff. 33, 1123–1131 (2014)
28. Tawalbeh, L.A., Mehmood, R., Benkhlifa, E., Song, H.: Mobile cloud computing model and big data analysis for healthcare applications. IEEE Access 4, 6171–6180 (2016)
29. Tawalbeh, L.A., Bakhader, W., Mehmood, R., Song, H.: Cloudlet-based mobile cloud computing for healthcare applications. In: 2016 IEEE Global Communications Conference (GLOBECOM), pp. 1–6. IEEE (2016)
30. Mehmood, R., Graham, G.: Big data logistics: a health-care transport capacity sharing model. Procedia Comput. Sci. 64, 1107–1114 (2015)
31. Varela, I.R., Tjahjono, B.: Big data analytics in supply chain management: trends and related research. In: 6th International Conference on Operations and Supply Chain Management, 1, 2013–2014 (2014)
32. Dobrzykowski, D., Saboori Deilami, V., Hong, P., Kim, S.C.: A structured analysis of operations and supply chain management research in healthcare (1982–2011). Int. J. Prod. Econ. 147, 514–530 (2014)
33. Xu, S., Tan, K.H.: Data-driven inventory management in the healthcare supply chain (2016)
34. Bughin, J., Chui, M., Manyika, J.: Clouds, big data, and smart assets: ten tech-enabled business trends to watch. McKinsey Q. 56, 75–86 (2010)
35. Tan, K.H., Zhan, Y.Z., Ji, G., Ye, F., Chang, C.: Harvesting big data to enhance supply chain innovation capabilities: an analytic infrastructure based on deduction graph. Int. J. Prod. Econ. 165, 223–233 (2015)