NURS 6051S Week 5 Discussion: Big Data Risks and Rewards

Big data typically refers to a large complex data set that yields substantially more information when analyzed as a fully integrated data set as compared to the outputs achieved with smaller sets of the same data that are not integrated. (Keenan, 2014). The CDC is able to track epidemics around the round with use of big data. Currently with the CDC data tracker is able to track Covid-19 globally. Data is gathered and viewed from different regions of the world on case trends for vaccinations, global cases and death, populations affected. The data is used to compare with trends in population and forecast. CDC, 2020) NURS 6051S Week 5 Discussion: Big Data Risks and Rewards

The movement toward use of larger integrated data sets in health care follows other industries that have realized multiple cost savings and improvements in business processes, customer services, and forecasting from their big data.  Specifically, health care stakeholders expect the availability of high quality “big data” gathered in Electronic Health Records (EHRs) to bring value through enabling (keen.2014) NURS 6051S Week 5 Discussion: Big Data Risks and Rewards

The Big data is a primary target for hackers. Data security professionals need to take an active role as soon as possible. Organization come under threat because of hacking and vulnerabilities within their systems in the organization.  Potential risks and challenges associated with EHR include security concerns. Research indicates that security concerns stem from increased mobile devices such as smartphones and medical identity theft.  Additionally, security concerns arise from data exchange among organizations, clinicians, federal agencies, and patients (Harman et al., 2012). NURS 6051S Week 5 Discussion: Big Data Risks and Rewards Organizations have placed safeguards to protect patients’ information that including only authorized individuals access patient information, passwords are changed at set intervals, and educating staff about potential threats for data to be hacked, manipulated, or destroyed by internal or external users.

References

CDC COVID Data Tracker. (n.d.). Retrieved December 31, 2020, from https://covid.cdc.gov/covid-data-tracker/

Electronic Health Records: Privacy, Confidentiality, and Security. (2012). AMA Journal of Ethics. https://journalofethics.ama-assn.org/article/electronic-health-records-privacy-confidentiality-and-security/2012-09

Keenan G. M. (2014). Big Data in Health Care: An Urgent Mandate to CHANGE Nursing EHRs!. On-line journal of nursing informatics, 18(1), http://www.himss.org/ResourceLibrary/GenResourceDetail.aspx?ItemNumber=28968 NURS 6051S Week 5 Discussion: Big Data Risks and Rewards.

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