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Big Data Risks and Rewards Discussion

Big Data Risks and Rewards Discussion

“Big data” as it is called has been changing the health care industry for years.  It has become increasingly important for analytics to be utilized in an effort to realize beneficial outcomes such as reducing health care costs, and improving patient care Big Data Risks and Rewards Discussion.

Just one example of a cost saving benefit that has come from such analytics is the realization that many lab tests or other possibly unnecessary tests and procedures were being performed.  At Boston Medical Center a campaign known as Choosing Wisely was implemented in an effort to utilize the EMR in suggesting best practices to providers through their EPIC software Big Data Risks and Rewards Discussion.  At the conclusion of the 6 month trial lab utilization alone decreased by over 1000 orders a month.  Respiratory Therapeutics Week  (2018)

One of the greatest and most obvious risks is that of Do-it-Yourself phone apps that utilize personal data to diagnosis or offer treatment   “By utilizing DTC genetic testing, publically accessible data repositories, biometric data collection and analysis, and other methods unregulated researchers can produce large-scale studies that raise concerns about balancing risks and benefits, informed consent, privacy, and other issues.” Rothstein, Wilbanks, Beskow, Brelsford, Brothers, Doerr, Evans, Hammack-Aviran, McGowan, & Tovino (2020). Big Data Risks and Rewards Discussion of  mobile device has become a necessity for most Americans that offers a plethora of information that is both indescribably informative, and dangerously loose with privacy.

Big Data has become a wonderful part of everyday life that when harnessed and used properly can truly make a difference in health care for the better, but it does not come with out enticing risk if used without safeguards.  “All of these devices and applications will evolve as technology improves.” Glassman (2017) Big Data Risks and Rewards Discussion.

References:

Electronic medical records show promise in reducing unnecessary testing. (2018, November 5). Respiratory Therapeutics Week, 2077. https://link.gale.com/apps/doc/A561049850/EAIM?u=minn4020&sid=EAIM&xid=33d73bc7

Glassman, K. S. (2017). Using data in nursing practice. American Nurse Today, 12(11), 45–47. Retrieved from https://www.americannursetoday.com/wpcontent/uploads/2017/11/ant11-Data-1030.pdf

Rothstein, M. A., Wilbanks, J. T., Beskow, L. M., Brelsford, K. M., Brothers, K. B., Doerr, M., Evans, B. J., Hammack-Aviran, C. M., McGowan, M. L., & Tovino, S. A. (2020). Unregulated Health Research Using Mobile Devices: Ethical Considerations and Policy Recommendations. Journal of Law, Medicine & Ethics, 48, 196–226. https://doi-org.ezp.waldenulibrary.org/10.1177/1073110520917047 Big Data Risks and Rewards Discussion

 

Big Data Risks and Rewards Discussion 2

Big data has the potential for meaningful rewards and risks. According to Thew (2016) in the article Big Data Means Big Potential, Challenges for Nurses Execs, to safeguard that big data is applied to determine the results that are significant to the nursing profession, nursing executives must act as architects data visionaries. The different data sets come on a monthly, weekly, and quarterly basis. Handling big data is significantly challenging for chief nurse executives (CNE). As chief nurse executives analyses and synthesizes data, it is done typically manually and is a labor and time-intensive approach. Since the systems of expertise have conventionally been established while using Big data, attempting to figure out the means of keeping up with agency hours and agency costs in a finance system against scheduling is a challenge. The deficiency of data standardization makes it problematic for CNE to appraise how firms or specific units conduct and establishes comprehensive decisions on what to improve Big Data Risks and Rewards Discussion. As a nurse leader, the frustration encountered in looking at the data is that the crucial variables are not incorporated into the data.

Big data has various advantages in healthcare. By combining, digitalizing, and efficiently employing big data, health care establishments ranging from single-doctor workplaces to groups of multi-providers to large healthcare networks and responsible care organizations have realized the vital benefits. Some of the potential benefits include early-stage disease detection when treatment can be done more efficiently and easily, managing particular popular and individual health, and detecting healthcare fraud efficiently and quickly (Mehta & Pandit, 2018). The various question can be handled by the analytics of big data. Particular developments and results can be foreseen and estimated in terms of an extensive range of historical data, such as patients choosing elective surgery.

In the healthcare world, big data has various potential risks. There is a risk of security. Data security is the real preference for healthcare organizations, particularly in the emergence of swift fire sequences of high ranked hackings, breaches, and ransomware affairs (Mehta & Pandit, 2018). From phishing outbreaks to laptops to malfunction, healthcare data is subjected to a substantial amount of vulnerabilities Big Data Risks and Rewards Discussion.

 

References

Burns, L. R., & Pauly, M. V. (2018). Transformation of the health care industry: curb your             enthusiasm? The Milbank Quarterly, 96(1), 57-109.

Mehta, N., & Pandit, A. (2018). The concurrence of big data analytics and healthcare: A   systematic review. International journal of medical informatics, 114, 57-65.

Thew J April 19, 2016. Big Data Means Big Potential, Challenges for Nurse Execs. Retrieved      from: https://www.healthleadersmedia.com/nursing/big-data-means-big-potential-            challenges-nurse-execs   Big Data Risks and Rewards Discussion

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