P4A1 AND P4A@2
TaniAlexis
P4A1.docxRE: Discussion - Week 4 Initial Post
Principio del formulario
Week 4 Initial Post
Benefits Offered by Big Data
Big data has the ability to tremendously benefit and add value to our current health care system. This data can be used to help organizations personalize care rendered, engage patients, improve the quality of the services rendered, and reduce costs (Fernandes, O’Conner, & Weaver, 2012). In addition, this data can be utilized by an organization to analyze and obtain a better understanding of the clinical and operational states of their business (Fernandes et al., 2012). According to Fernandes et al. (2012), this information can also be used by providers to enable them to provide patient-specific best practices.
Challenge Associated with Use of Big Data
As with all technology, the use of big data in the health care sector must place security at the top of the priority list. Utilizing technology, unfortunately, opens the gates to systems that can be hacked and/or compromised which can leave very private and important individual health information unsecured. Data privacy and security must be a key component of any big data system (Fernandes et al., 2012). Systems utilized by organizations must have the ability to protect sensitive information pertaining to personally identifiable health care information (Abouelmehdi, Beni-Hessane, & Khaloufi, 2018). Both privacy and security must exist in order to prevent any big issues or compromises within the system.
Possible Solutions
Several solutions and procedure may be put into place to protect the privacy and security of the data being utilized and store by an organization’s system. Patient portals I have utilized have several aspects in place to ensure this privacy and security to its users. Authentication and encryption of the transmitted data have been utilized in these systems, offering added protection against unintended disclosure of personal health information. Some systems also utilize data masking (Abouelmehdi et al., 2018). While not truly an encryption service, masking uses the strategy of de-identifying data sets or masking personal identifiers (Abouelmehdi et al., 2018). This is a solution that can be used within systems to assure privacy for the users. However, I would recommend this be utilized in addition to the above recommendations. The patient portal I participate in, as a patient, requires that I provide several authentication details. In addition, any messages sent are encrypted to prevent unintended interception of the transmitted information by others that are not granted permission to this information.
Conclusion
Today, with the high use of technology, it is more important than ever that organizations protect the health information of its consumers. Serious consequences exist for those organizations who do not ensure this privacy and security. In addition, organizations must report any potential or actual breaches in the system that leaves their consumers’ information compromised. It is undeniable that the use of big data adds a valuable component to today’s health care. However, it requires increased security and methods in which to ensure the consumer that their information is private and uncompromised.
References
Abouelmehdi, K., Beni-Hessane, A., & Khaloufi, H. (2018). Big healthcare data: preserving security and privacy. Journal of Big Data, 5(1), 1-18. Retrieved from https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-017-0110-7
Fernandes, Lorraine M.; O'Connor, Michele; Weaver, Victoria. "Big Data, Bigger Outcomes"Journal of AHIMA 83, no.10 (October 2012): 38-43. Retrieved from http://library.ahima.org/doc?oid=105683#.XI6vdxNKgdU
