NURS 6051 BIG DATA RISKS AND REWARDS
NURS 6051 BIG DATA RISKS AND REWARDS
Organizations often use data with new developments in organization. Organizations use information to organize and deliver quality health care services to clientele. Big data in the healthcare sector, therefore, refers to huge volumes of data generated from the adoption of digital technologies and interactions between healthcare stakeholders and healthcare systems in the collection, documentation, and retrieval of healthcare data (Wang et al., 2018). For example, government agencies use big data through research studies and laboratory results to manage and organize their performances. Big data can also help and organization to predict changes and trends in diseases with age groups to form evidence-based data, thus forming interventions to enhance the quality of life, value, and cost reduction in patient care services.
Electronic documentations are used a lot more in health care organizations. This is used by collecting and documenting large data in detailed entity of patient care; however, this can lead to flooding of information systems making data unmanageable. One of the greatest challenges of big data is the access to patient data regarding proprietary rights, privacy, and interoperability. According to Perlin (2016), interoperability is the ability of healthcare information systems to exchange vital health data within and across organizational boundaries and present it in a way that is understandable to the user. The HIPAA (Health Insurance Portability and Accountability) often becomes unconsidered for access to patient data is repeatedly breeched, which interferes with healthcare professionals’ ability to share and document patient information effectively. Sharing data, within the parameters of the Health Insurance Portability and Accountability Act, supports the meaningful use of EMRs to distribute patient information in health care (McGonigle et al, 2017).
An essential strategy to solve the accessibility challenges in big data sharing is the implementation of frequent security evaluations and procedures. This action could be carried out by encrypting big data and ensuring that health care professionals are practicing professional integrity. Many health care systems should strive to have mature EMR systems to support meaningful use and honesty. upgrading pre-existing information systems within health facilities will enhance the ability to share health information between providers and between health facilities efficiently (Perlin, 2016). This strategy I believe would aid in eliminating patient privacy breaching and risks associated while sharing big data amongst providers. There is an urgent need to understand the managerial, economic, and strategic impact of big data analytics and explore its potential benefits driven by big data analytics, and this will enable healthcare practitioners to fully seize the power of big data (Wang et al, 2018).
References
McGongile, D., & Mastrian, K. G. (2017). Nursing informatics and the foundation of knowledge (4th ed.). Burlington, MA: Jones & Bartlett Learning.
Perlin, J. B. (2016). Health information technology interoperability and use for better care and evidence. Jama, 316(16), 1667-1668. doi:10.1001/JAMA.2016.12337
Wang, Y. Kung, L., & Byrd, T. A. (2018). Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Technological Forecasting and Social Change, 126(1), 3–13. doi: 10.1016/j.techfore.2015.12.019.
