A Review of Big Data Quality and an Assessment Method and features of Data Quality for Public Health Information Systems
Author(s)
Valerio Brescia , Paolo Pietro Biancone , Silvana Secinaro ,
Download Full PDF Pages: 19-33 | Views: 1490 | Downloads: 456 | DOI: 10.5281/zenodo.3474561
Abstract
Data governance Refers to the management of public health information systems and data. The article tries to give an updated definition of big data quality through a review and systematic approach. We Identified publications by searching several eletronic bibliographic databases. The articles were confined to Inglese and italian leanguage. We performed the litterature advanced between January 2015 and December 2016. The group of study would propose a method for handle Big Data Quality System and the features That the system must have to be a management tool. The study investigates and provides some thoughts and ideas on the future of big data quality and their use in the Governance in Health. The paper highlights the usefulness of big data quality both in medical choices in information systems and infrastructure useful to policy decisions and organizational control
Keywords
big data, big data quality, data quality management, healtcare, healthcare information systems
References
i. Abdelhak M, Grostick S, Hankin MA, Jacobs (1996). E. Health Information: Management of a Strategic Resource. Philadelphia, WB Saunders Company. doi:10.4337/9780857932006.00025
ii. Alemayehu, D., & Berger, M. L. Big Data: transforming drug development and health policy decision making. Health Services and Outcomes Research Methodology, 1-11. doi:10.1007/s10742-016-0144-x
iii. André, C., Batifoulier, P., & Jansen‐Ferreira, M. (2016). Health care privatization processes in Europe: Theoretical justifications and empirical classification. International Social Security Review, 69(1), 3-23. doi:10.1111/issr.12092
iv. Archenaa, J., & Anita, E. M. (2015). A survey of big data analytics in healthcare and government. Procedia Computer Science, 50, 408-413. doi:10.1016/j.procs.2015.04.021
v. Belle, A., Thiagarajan, R., Soroushmehr, S. M., Navidi, F., Beard, D. A., & Najarian, K. (2015). Big data analytics in healthcare. BioMed research international, 2015. doi:10.1155/2015/370194
vi. Baro, E., Degoul, S., Beuscart, R., & Chazard, E. (2015). Toward a literature-driven definition of big data in healthcare. BioMed research international, 2015. doi:10.1155/2015/639021
vii. Beniger, J. (2009). The control revolution: Technological and economic origins of the information society. Harvard university press. doi:10.2307/2578757
viii. Biancone, P., Secinaro, S., & Brescia, V. (2016). Popular Report and Consolidated Financial Statements in Public Utilities. Different Tools to Inform the Citizens, a Long Journey of the Transparency. International Journal of Business and Social Science Vol. 7, No. 1; January 2016 doi:10.5539/ijbm.v11n11p115
ix. Burghard C: Big Data and Analytics Key to Accountable Care Success. IDC Health Insights; 2012.
x. Chang, H., & Choi, M. (2016). Big data and healthcare: building an augmented world. Healthcare Informatics Research, 22(3), 153-155. doi:10.4258/hir.2016.22.3.153
xi. Chergui, M., Chakir, A., Medromi, H., & Radoui, M. (2017). A New Approach for Modeling Strategic IT Governance Workflow. In Advances in Ubiquitous Networking 2 (pp. 285-298). Springer Singapore. doi:10.1007/978-981-10-1627-1_22
xii. Condor, V. (2016). Public Sector Accounting and Auditing in Europe. The Challenge of Harmonization. doi:10.1080/17449480.2016.1251601
xiii. Cusack CM, H. G. (2012). The future state of clinical data capture and documentation: a report from AMIA's 2011 Policy Meeting. Journal of the American Medical Informatics Association, 1-7. doi: 10.1136/amiajnl-2012-001093
xiv. Dayal, M., & Singh, N. (2016). Indian Health Care Analysis using Big Data Programming Tool. Procedia Computer Science, 89, 521-527. doi: 10.1016/j.procs.2016.06.101
xv. Davis N, LaCour M. Introduction to Information Technology. Philadelphia, WB Saunders Company, 2002.
xvi. De Carvalho, J. V., Rocha, Á., & de Vasconcelos, J. B. (2016). Maturity Models for Hospital Information Systems Management: Are They Mature?. In Innovation in Medicine and Healthcare 2015 (pp. 541-552). Springer International Publishing. doi: 10.1007/978-3-319-23024-5_49
xvii. Demchenko, Y., Zhao, Z., Grosso, P., Wibisono, A., & De Laat, C. (2012, December). Addressing big data challenges for scientific data infrastructure. In Cloud Computing Technology and Science (CloudCom), 2012 IEEE 4th International Conference on (pp. 614-617). IEEE. doi: 10.1109/cloudcom.2012.6427494
xviii. Dinov, I. D. (2016). Methodological challenges and analytic opportunities for modeling and interpreting Big Healthcare Data. Gigascience, 5(1), 1. doi: 10.1186/s13742-016-0117-6
xix. English, L. P. (1999). Improving data warehouse and business information quality: methods for reducing costs and increasing profits. John Wiley & Sons, Inc..
xx. European Union (2012). The management of health systems in EU Member States The role of local and regional. European Union 2012 ISBN: 978-92-895-0720-2
xxi. Fernandes L, O’Connor M, Weaver V: Big data, bigger outcomes. J AHIMA 2012:38–42.
xxii. Ferrera, M. (2008). Dal welfare state alle welfare regions: la riconfigurazione spaziale della protezione sociale in Europa. La Rivista delle politiche sociali, 3(2008), 17-49. doi: 10.3280/qu2014-004002
xxiii. Groves P. et all. (2013). Center for US Health System Reform Business Technology Office. The big data revolution in healthcare. McKinsey & Company, Gennuary 2013.
xxiv. Hu, L., Zhang, Y., Feng, D., Hassan, M. M., Alelaiwi, A., & Alamri, A. (2015). Design of QoS-Aware Multi-Level MAC-Layer for Wireless Body Area Network. Journal of Medical Systems, 39(12). doi: 10.1007/s10916-015-0336-x
xxv. Jarvenpaa, S. L., & Ives, B. (1990). Information technology and corporate strategy: a view from the top. Information Systems Research, 1(4), 351-376. doi: doi.org/10.1287/isre.1.4.351
xxvi. Lynch, C. (2008). Big data: How do your data grow?. Nature, 455(7209), 28-29. doi: doi.org/10.1038/455028a
xxvii. Li, J., Tao, F., Cheng, Y., & Zhao, L. (2015). Big Data in product lifecycle management. The International Journal of Advanced Manufacturing Technology, 81(1-4), 667-684. doi: 10.1007/s00170-015-7151-x
xxviii. Lovis, C., & Gamzu, R. (2015). Big Data in Israeli healthcare: hopes and challenges report of an international workshop. Israel Journal of Health Policy Research, 4(1), 1.
xxix. Merino, J., Caballero, I., Rivas, B., Serrano, M., & Piattini, M. (2015). A Data Quality in Use model for Big Data. Future Generation Computer Systems. doi: 10.1186/s13584-015-0057-0
xxx. Mezghani, E., Exposito, E., Drira, K., Da Silveira, M., & Pruski, C. (2015). A Semantic Big Data Platform for Integrating Heterogeneous Wearable Data in Healthcare. Journal of medical systems, 39(12), 1-8. doi:10.1007/s10916-015-0344-x
xxxi. Pasini, N. (Ed.). (2011). Confini irregolari. Cittadinanza sanitaria in prospettiva comparata e multilivello: Cittadinanza sanitaria in prospettiva comparata e multilivello. FrancoAngeli.
xxxii. Pearlson, K. E., Saunders, C. S., & Galletta, D. F. (2016). Managing and Using Information Systems, Binder Ready Version: A Strategic Approach. John Wiley & Sons.
xxxiii. Pontoppidan, C. A., & Brusca, I. (2016). The first steps towards harmonizing public sector accounting for European Union member states: strategies and perspectives. Public Money & Management, 36(3), 181-188. doi:10.1080/09540962.2016.1133970
xxxiv. Potters, L., Ford, E., Evans, S., Pawlicki, T., & Mutic, S. (2015). A Systems Approach using Big Data to Improve Safety and Quality in Radiation Oncology. International Journal of Radiation Oncology* Biology* Physics. doi:10.1016/j.ijrobp.2015.10.024
xxxv. Puddu, L. (Ed.). (2011). Elementi essenziali per la predisposzione e la certificazione del bilancio delle aziende sanitarie. Giuffrè Editore.
xxxvi. Puddu, Luigi; Rainero, Christian; Tradori, Vania; Secinaro, Silvana; Indelicato, Alessandra; Migliavacca, Alessandro; Brescia, Valerio. (2016). Risk management and healthcare: “separation” of revenues and expenditure. Risk management: perspectives and open issues. A multi-disciplinary approach. McGraw-Hill Education 248-265.
xxxvii. Priya, M., & Ranjith Kumar, P. (2015). A novel intelligent approach for predicting atherosclerotic individuals from big data for healthcare. International Journal of Production Research, 53(24), 7517-7532. doi:10.1080/00207543.2015.1087655
xxxviii. Raghupathi W: Data Mining in Health Care. In Healthcare Informatics: Improving Efficiency and Productivity. Edited by Kudyba S. Taylor & Francis; 2010:211–223. doi:10.1201/9781439809792-c11
xxxix. Rallapalli, S., Gondkar, R. R., & Ketavarapu, U. P. K. (2016). Impact of Processing and Analyzing Healthcare Big Data on Cloud Computing Environment by Implementing Hadoop Cluster. Procedia Computer Science, 85, 16-22. doi:10.1016/j.procs.2016.05.171
xl. Rockart, J. F., & Morton, M. S. (1984). Implications of changes in information technology for corporate strategy. Interfaces, 14(1), 84-95. doi:10.1287/inte.14.1.84
xli. Sahama, T. R., Hofdijk, J., Hafen, E., Bignens, S., Goossen, W., Yasnoff, W., & Ball, M. (2016). IMIA working group on health record banking-How complex systems can cooperate towards having individual's consolidated data.
xlii. Schneeweiss, S. (2016). Improving therapeutic effectiveness and safety through big healthcare data. Clinical Pharmacology & Therapeutics, 99(3), 262-265. doi:10.1002/cpt.316
xliii. Shepherd, A. M., Laurens, K. R., Matheson, S. L., Carr, V. J., & Green, M. J. (2012). Systematic meta-review and quality assessment of the structural brain alterations in schizophrenia. Neuroscience & Biobehavioral Reviews, 36(4), 1342-1356. doi:10.1016/j.neubiorev.2011.12.015
xliv. Schick, A. G., Gordon, L. A., & Haka, S. (1990). Information overload: A temporal approach. Accounting, Organizations and Society, 15(3), 199-220. doi:10.1016/0361-3682(90)90005-f
xlv. Schmitt, J., Arnold, K., Druschke, D., Swart, E., Grählert, X., Maywald, U., … Rüdiger, M. (2016). Early comprehensive care of preterm infants—effects on quality of life, childhood development, and healthcare utilization: study protocol for a cohort study linking administrative healthcare data with patient reported primary data. BMC Pediatrics, 16(1). doi:10.1186/s12887-016-0640-8
xlvi. Song, T. M., & Ryu, S. (2015). Big data analysis framework for healthcare and social sectors in Korea. Healthcare informatics research, 21(1), 3-9. doi:10.4258/hir.2015.21.1.3
xlvii. Strassmann, P. A. (1997). The squandered computer: evaluating the business alignment of information technologies. Strassmann, Inc.. doi:10.2307/20048812
xlviii. Suresh, S. (2016). Big Data and Predictive Analytics: Applications in the Care of Children. Pediatric clinics of North America, 63(2), 357-366. doi:10.1016/j.pcl.2015.12.007
xlix. Torchia, M., & Calabrò, A. (2016). Increasing the Governance Standards of Public-Private Partnerships in Healthcare. Evidence from Italy. Public Organization Review, 1-18. doi:10.1007/s11115-016-0363-1
l. Ward, J., & Peppard, J. (2016). The Strategic Management of Information Systems: Building a Digital Strategy. John Wiley & Sons.
li. Warwicka, W., Johnsona, S., Bonda, J., Fletchera, G., & Kanellakisa, P. (2015). A Framework to Assess Healthcare Data Quality. European Journal of Social & Behavioural Sciences, The, 13(2), 1730. doi:10.15405/ejsbs.156
lii. Wharton, M. K. (2016, June). Data Governance Structures for Integrated Disease Information Systems in Local Health Departments. In 2016 CSTE Annual Conference. Cste.
liii. World Health Organization, 2003, Improving data quality: a guide for developing countries, ISBN 92 9061 050 6
liv. Wu, J., Li, H., Cheng, S., & Lin, Z. (2016). The promising future of healthcare services: When big data analytics meets wearable technology. Information & Management, 53(8), 1020-1033. doi:10.1016/j.im.2016.07.003
lv. Wong, H. T., Yin, Q., Guo, Y. Q., Murray, K., Zhou, D. H., & Slade, D. (2015). Big data as a new approach in emergency medicine research. Journal of Acute Disease, 4(3), 178-179. doi:10.1016/j.joad.2015.04.003
lvi. Yang, C. C., & Veltri, P. (2015). Intelligent healthcare informatics in big data era. Artificial intelligence in medicine, 65(2), 75-77. doi:10.1016/j.artmed.2015.08.002
lvii. Zillner, S., & Neururer, S. (2015). Technology Roadmap Development for Big Data Healthcare Applications. KI-Künstliche Intelligenz, 29(2), 131-141. doi:10.1007/s13218-014-0335-y
Cite this Article: