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Big Data in Health: New Challenges and New Solutions in Data Management (A Lifecycle Review)

Affiliations

  • Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, District 6, Iran, Islamic Republic of
  • School of Medicine, Shahrekord University of Medical Sciences, Shahrekord, Iran, Islamic Republic of

Abstract


Background: Collecting and analyzing large volumes of disparate datasets are of major challenges arisen from the emergence of Big Data in the field of health. But the technology of Big Data is also associated with promising opportunities which can provide improvement of performance and facilitation of innovation in organizations. Objective: Since determining the lifetime is a practical approach regarding recognition of a phenomenon and its management, this paper aimed at identifying the challenges and opportunities of managing Big Data in the area of health at different stages of the lifecycle of Big Data. Methodology: This article is a structured review. After an initial review, 6 phases was detected in the lifecycle of Big Data, then the processes of traditional data were briefly reviewed in each phase, and the challenges associated with the emergence of Big Data and the solutions for their optimal management were discussed. Results: This study offers a broad over view of the advent of Big Data in the health sector, and provides a clear and accurate picture of the processes before and after its emergence through a comparative-based survey in each phase. The article points out innovations and modern methods of collection, pre-processing, and analysis of Big Data as well as the process of data extracting. It also describes cloud computing applications in the storage and release of Big Data. Conclusions: Our findings indicate that management of Big Data in health, based on its lifecycle, is resourceful for managers and policy-makers, in order to benefit from the technological features of Big Data with a managerial approach, to evaluate challenges, to apply innovative solutions at each phase of Big Data maturation, and to advance towards a new level of innovation, competitiveness, and productivity.

Keywords

Big Data, Lifecycle Stages, Health.

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References


  • Khan N, Yaqoob I, Hashem IA, Inayat Z, Ali WK, Alam M, et al. Big Data: Survey, Technologies, Opportunities, and Challenges, The Scientific World Journal. 2014(2014), 18p. ID: 712826. Crossref
  • Cui M, Li H, Hu X. Similarities between “Big Data” and Traditional Chinese Medicine Information, Journal of Traditional Chinese Medicine = Chung I Tsa Chih Ying Wen Pan / Sponsored by All-China Association of Traditional Chinese Medicine, Academy of Traditional Chinese Medicine. 2014; 34(4):518−22. Crossref
  • Kaisler S, Armour F, Espinosa JA, Money W. Editors. Big Data: Issues and Challenges Moving Forward. System Sciences (HICSS), 2013 46th Hawaii International Conference on; 2013. IEEE.
  • Peters SG, Buntrock JD. Big Data and the Electronic Health Record, The Journal of Ambulatory Care Management. 2014; 37(3):206−10. Crossref PMid:24887521.
  • Caballero I, Serrano M, Piattini M. Editors. A Data Quality in use Model for Big Data. International Conference on Conceptual Modeling; 2014: Springer.
  • Li B, Liao X. Peer-to-Peer in Big Data Management, PeertoPeer Networking and Applications. 2013; 6(4):361. Crossref
  • Stokes LB, Rogers JW, Hertig JB, Weber RJ. Big Data: Implications for Health System Pharmacy, Hospital Pharmacy. 2016; 51(7):599−603. Crossref PMid:27559194.
  • Alexander GL, Rantz M, Flesner M, Diekemper M, Siem C. Clinical Information Systems in Nursing Homes: An Evaluation of Initial Implementation Strategies, Computers, Informatics, Nursing: CIN. 2007; 25(4):189−97. Crossref PMid:17625399.
  • Rigamonti L, Falbo A, Grosso M. Improvement Actions in Waste Management Systems at the Provincial Scale Based on a Life Cycle Assessment Evaluation, Waste Management (New York, NY). 2013; 33(11):2568−78. Crossref PMid:23948052.
  • Smith D, Wood D. Data Management. Research in Clinical Practice: Springer; 2013. p. 59−64. Crossref. Crossref.
  • Korba L, Song R, Yee G, Patrick AS, Buffett S, Wang Y, et. al. Editors. Private Data Management in Collaborative Environments. International Conference on Cooperative Design, Visualization and Engineering; 2007: Springer.
  • Chomkhamsri K, Wolf M-A, Pant R. International Reference Life Cycle Data System (ILCD) Handbook: Review Schemes for Life Cycle Assessment. Towards Life Cycle Sustainability Management: Springer; 2011. p. 107−17.
  • Demchenko Y, Ngo C, Membrey P. Architecture Framework and Components for the Big Data Ecosystem, Journal of System and Network Engineering. 2013; 1−31.
  • Shaw-Taylor Y. Making Quality Improvement Programs More Effective, International Journal Of Health Care Quality Assurance. 2014; 27(4):264−70. Crossref PMid:25076601.
  • Ma X, Fox P, Rozell E, West P, Zednik S. Ontology Dynamics in a Data Life Cycle: Challenges and Recommendations from a Geoscience Perspective, Journal of Earth Science. 2014; 25(2):407−12. Crossref
  • Holzinger A, Stocker C, Ofner B, Prohaska G, Brabenetz A, Hofmann-Wellenhof R. Combining HCI, Natural Language Processing, and Knowledge Discovery-Potential of IBM Content Analytics as an Assistive Technology in the Biomedical Field. Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data: Springer; 2013. p. 13−24.
  • Ghazisaeidi M, Ahmadi M, Sadoughi F, Safdari R. A Roadmap to Pre-Implementation of Electronic Health Record: the Key Step to Success, Acta Informatica Medica: AIM: Journal of the Society for Medical Informatics of Bosnia and Herzegovina: Casopis Drustva za Medicinsku Informatiku BiH. 2014; 22(2):133−8. Crossref
  • Mohammadzadeh N, Safdari R, Baraani A, Mohammadzadeh F. Intelligent Data Analysis: The Best Approach for Chronic Heart Failure (CHF) follow up Management, Acta Informatica Medica: AIM: Journal of the Society for Medical Informatics of Bosnia and Herzegovina: Casopis Drustva za Medicinsku Informatiku BiH. 2014; 22(4):263−7. PMid:25395730 PMCid:PMC4216425.
  • Raghupathi W, Raghupathi V. Big Data Analytics in Healthcare: Promise and Potential, Health Information Science and Systems. 2014; 2:3. Crossref PMid:25825667 PMCid:PMC4341817.
  • Mohammadzadeh N, Safdari R, Rahimi A. Developing Framework for Agent- Based Diabetes Disease Management System: user Perspective, Materia SocioMedica. 2014; 26(1):62−4. Crossref PMid:24757407 PMCid:PMC3990393.
  • Yazdanian A, Safdari R, Mahsoori N, Siamian H, Bagheri Nesami M, Haghshenas MR, et. al. Proposed Model for Iranian National System of Registration of Allergy and Asthma, Acta Informatica Medica: AIM: Journal of the Society for Medical Informatics of Bosnia and Herzegovina: Casopis Drustva za Medicinsku Informatiku BiH. 2013; 21(3):196−9. Crossref
  • Zillner S, Lasierra N, Faix W, Neururer SB. Editors. User Needs and Requirements Analysis for Big Data Healthcare Applications. MIE; 2014.
  • Jifa G. Some Issues on Big Data, Science and Technology for Development. 2014; 1:004.
  • Jifa G, Lingling Z. Data, DIKW, Big Data and Data Science, Procedia Computer Science. 2014; 31:814−21. Crossref
  • Cumbley R, Church P. Is “Big Data” Creepy? Computer Law and Security Review. 2013; 29:601−09. Crossref
  • Kadayif I, Kandemir M. Editors. Tuning in-Sensor Data Filtering to Reduce Energy Consumption in Wireless Sensor Networks. Proceedings of the Conference on Design, Automation and Test in Europe-Volume 2; 2004: IEEE Computer Society.
  • Yu H, Zeng P, Wang ZF, Liang Y, Shang ZJ. Study on Distributed Wireless Sensor Networks Communication Protocols, J. Commun. 2004; 25:102−10.
  • Wang X, Hessner MJ, Wu Y, Pati N, Ghosh S. Quantitative Quality Control in Microarray Experiments and the Application in Data Filtering, Normalization and False Positive Rate Prediction, Bioinformatics (Oxford, England). 2003; 19(11):1341−7. Crossref
  • Chen M, Mao S, Liu Y. Big Data: A Survey, Mobile Networks and Applications. 2014; 19(2):171−209. Crossref
  • Han J, Kamber M. Data Ining: Concepts and Techniques. 2006.
  • Winck AT, Machado KS, de Souza ON, Ruiz DD. ContextBased Preprocessing of Molecular Docking Data, BMC Genomics. 2013; 14(Suppl. 6):S6. Crossref PMid:24564276 PMCid:PMC3909228.
  • Randall SM, Ferrante AM, Boyd JH, Semmens JB. The Effect of Data Cleaning on Record Linkage Quality, BMC Medical Informatics and Decision Making. 2013; 13:64. Crossref PMid:23739011 PMCid:PMC3688507.
  • Patel ZH, Kottyan LC, Lazaro S, Williams MS, Ledbetter DH, Tromp H, et. al. The Struggle to Find Reliable Results in Exome Sequencing Data: Filtering out Mendelian Errors, Frontiers in Genetics. 2014; 5:16. Crossref PMid:24575121 PMCid:PMC3921572.
  • Ergun B, Kavzoglu T, Colkesen I, Sahin C. Data Filtering with Support Vector Machines in Geometric Camera Calibration, Optics express. 2010; 18(3):1927−36. Crossref PMid:20174021.
  • Lenzerini M. Editor Data Integration: A Theoretical Perspective. Proceedings of the Twenty-First ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems; 2002: ACM.
  • Chen M, Mao S, Zhang Y, Leung VC. Big Data: Related Technologies, Challenges and Future Prospects: Springer; 2014. Crossref
  • Fang Z, Fan X, Chen G. A Study on Specialist or Special Disease Clinics Based on Big Data, Frontiers of Medicine. 2014; 8(3):376−81. Crossref PMid:25186249.
  • Takeuchi H, Mayuzumi Y, Kodama N, Sato K. Personal Healthcare System using Cloud Computing, Studies in Health Technology and Informatics. 2013; 192:936. PMid:23920710.
  • Ji Z, Ganchev I, O’Droma M, Zhang X, Zhang X. A CloudBased X73 Ubiquitous Mobile Healthcare System: Design and Implementation, The Scientific World Journal. 2014; 2014.
  • Dai L, Gao X, Guo Y, Xiao J, Zhang Z. Bioinformatics Clouds for Big Data Manipulation, Biology Direct. 2012; 7(1):1. Crossref PMid:23190475 PMCid:PMC3533974.
  • Esposito D, Taylor EF, Gold M. Using Qualitative and Quantitative Methods to Evaluate Small-Scale Disease Management Pilot Programs, Population Health Management. 2009; 12(1):3−15. Crossref PMid:19216674.
  • Srinivasan S. Basic Cloud Computing Types. Cloud Computing Basics: Springer; 2014. p. 17−41. Crossref. Crossref.
  • Yang K, Jia X. Data Storage Auditing Service in Cloud Computing: Challenges, Methods and Opportunities, World Wide Web. 2012; 15(4):409−28. Crossref
  • Peek N, Holmes J, Sun J. Technical Challenges for Big Data in Biomedicine and Health: Data Sources, Infrastructure, and Analytics, Yearb Med Inform. 2014; 9(1):42−7. Crossref PMid:25123720 PMCid:PMC4287098.
  • Takeuchi H, Mayuzumi Y, Kodama N, Sato K. Personal Healthcare System using Cloud Computing, Studies in Health Technology and Informatics. 2012; 192:936-.
  • Almashaqbeh G, Hayajneh T, Vasilakos AV, Mohd BJ. QoS-Aware Health Monitoring System using Cloud-Based WBANs, Journal of Medical Systems. 2014; 38(10):1−20. Crossref PMid:25123456.
  • Brinkmann BH, Bower MR, Stengel KA, Worrell GA, Stead M. Large-scale Electrophysiology: Acquisition, Compression, Encryption, and Storage of Big Data, Journal of Neuroscience Methods. 2009; 180(1):185−92. Crossref PMid:19427545 PMCid:PMC2720128.
  • Mantas J. Machine Learning for Knowledge Extraction from PHR Big Data, Integrating Information Technology and Management for Quality of Care. 2014; 202:36.
  • Hsieh J-C, Li A-H, Yang C-C. Mobile, Cloud, and Big Data Computing: Contributions, Challenges, and New Directions in Telecardiology, International Journal of Environmental Research and Public Health. 2013; 10(11):6131−53. Crossref PMid:24232290 PMCid:PMC3863891.
  • Vimarlund V, Wass S. Big Data, Smart Homes and Ambient Assisted Living, IMIA Yearbook of Medical Informatics. 2014:143−9. PMid:25123734 PMCid:PMC4287073.
  • Margolis R, Derr L, Dunn M, Huerta M, Larkin J, Sheehan J, et. al. The National Institutes of Health’s Big Data to Knowledge (BD2K) Initiative: Capitalizing on Biomedical Big Data, Journal of the American Medical Informatics Association. 2014; 21(6):957−8. Crossref PMid:25008006 PMCid:PMC4215061.
  • ComPUtING C. Cloud Computing Privacy Concerns on our Doorstep, Communications of the ACM. 2011; 54(1):36−8. Crossref
  • Currie W, Seddon J. A Cross-Country Study of Cloud Computing Policy and Regulation in Healthcare. 2014.
  • Yoon JP. Access Control and Trustiness for Resource Management in Cloud Databases. Grid and Cloud Database Management: Springer; 2011. p. 109−31. Crossref
  • Nur FN, Moon NN. Health Care System Based on Cloud Computing, Asian Transactions on Computers. 2012; 2(5):9−11.
  • Faught IC, Aspevig J, Spear R. New Means of Data Collection and Accessibility. Public Health Informatics and Information Systems: Springer; 2014. p. 375−98. Crossref
  • Parameswaran A, Chaddha A. Cloud Interoperability and Standardization, SET Labs Briefings. 2009; 7(7):19−26.
  • Arvidsson R, Kushnir D, Sandén BrA, Molander S. Prospective Life Cycle Assessment of Graphene Production by Ultrasonication and Chemical Reduction, Environmental Science and Technology. 2014; 48(8):4529−36. Crossref PMid:24646298

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