NURS-6051 Week 5: Discussion BIG DATA RISKS AND REWARDS

BY DAY 3 OF WEEK 5

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Share a description of at least one advantage of utilizing big data in a clinical system and explain why. Also, describe at least one obstacle or risk of incorporating big data into a clinical system and explain why. Suggest at least one approach you have encountered, witnessed, or researched that could effectively reduce the challenges or risks related to using big data that you described. Provide specific examples.
BY DAY 6 OF WEEK 5

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Respond to at least two of your peers* on two separate days, offering one or more additional strategies to mitigate the risks or further insights into their evaluation of the potential advantages and risks of big data.

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Discussion Week 5: Big Data Risks and Rewards

Technology is rapidly advancing, connecting our world through computers, cell phones, social media, and more. This continuous connection accompanies us everywhere we go, and even work requires logging onto computers. As nurses, we also help connect patients to database banks. This signifies that we are living in an era of invaluable big data. In this context, big data brings both positive and negative outcomes.

Benefits of Using Big Data (Clinical System)

Numerous advantages arise from incorporating big data into the clinical/healthcare system. These benefits are evident from the moment one accesses the electronic health record (EHR). Valuable information is inputted into computers, which can be used to enhance protocols, patient outcomes, safety, and the nursing profession. Other benefits include more insightful diagnoses and treatments, leading to higher-quality care (Wang, Kung & Byrd, 2018). Through collected data, trends and patterns can be analyzed, resulting in improved care quality.

Collected and stored big data is also valuable because it can help detect diseases at an early stage through records of signs and symptoms. By identifying lifestyle factors that increase disease risks, patients can be advised on protecting themselves. Population health can be monitored regardless of location, allowing for swift treatment adjustments. Operational, financial, and clinical data can also be analyzed for real-time resource utilization and productivity (Raghupathi & Raghupathi, 2014). These are just some of the expected benefits of utilizing big data.

Challenges/Risks of Big Data

Using big data presents certain challenges. One common challenge is the incomplete implementation of standardized nursing technology (SNT). Addressing this issue can enhance data analysis. The use of SNTs in nursing care aids in easy data retrieval and analysis through clinical reasoning (Macieira et al., 2017). SNTs improve the visibility of nursing interventions. Failing to fully implement them poses a significant challenge to healthcare systems.

Additionally, a major challenge is the absence of data standardization. In such cases, healthcare systems struggle to assess organizational performance and make informed decisions for improvement (Thew, 2018). According to Englebright, breaking down data silos or big data can facilitate improved nursing performance (Thew, 2018). Big data can also be risky, as leaks to cybercriminals could lead to significant damage. Proper systems are essential for protecting data.

Big data risks extend beyond cyber-attacks; mishandling data internally can also be risky. Statistics show that a quarter of healthcare data breaches result from unauthorized access. Hackers cause more than twice the breaches attributed to internal mishandling (Fox & Vaidyanathan, 2016). As learned from the course materials, nursing informatics and big data are useful for patients and professionals, but benefits come with challenges/risks.

Proposed Approach

In my view, implementing stringent measures through Acts of parliament or various professional bodies on healthcare privacy is vital. An example is the Health Insurance Portability and Accountability Act (HIPPA). Data should be strictly guarded, accessible only to authorized agencies and organizations. This approach will safeguard patient data from ill-intentioned individuals. Through robust data security, data can be used effectively, enhancing healthcare systems and their services.

References

Fox, M., & Vaidyanathan, G. (2016). IMPACTS OF HEALTHCARE BIG DATA: A FRAMEWORK WITH LEGAL AND ETHICAL INSIGHTS. Issues in Information Systems, 17(3).

Macieira, T. G., Smith, M. B., Davis, N., Yao, Y., Wilkie, D. J., Lopez, K. D., & Keenan, G. (2017). Evidence of progress in making nursing practice visible using standardized nursing data: a systematic review. In AMIA Annual Symposium Proceedings (Vol. 2017, p. 1205). American Medical Informatics Association.

Raghupathi, W., & Raghupathi, V. (2014). Big data analytics in healthcare: promise and potential. Health information science and systems, 2(1), 1-10.

Thew, J. (2016, April 19). Big data means big potential, challenges for nurses execs. Retrieved from https://www.healthleadersmedia.com/nursing/big-data-means-bigpotential-challenges-nurse-execsLinks to an external site.

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, 3-13.

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BY DAY 3 OF WEEK 5

Post a description of at least one potential benefit of using big data as part of a clinical system and explain why. Then, describe at least one potential challenge or risk of using big data as part of a clinical system and explain why. Propose at least one strategy you have experienced, observed, or researched that may effectively mitigate the challenges or risks of using big data you described. Be specific and provide examples.

BY DAY 6 OF WEEK 5

Respond to at least two of your colleagues* on two different days, by offering one or more additional mitigation strategies or further insight into your colleagues’ assessment of big data opportunities and risks.

Main Post

Discussion Week 5: Big Data Risks and Rewards

Technology is first growing, which is why we all live in a world connected through computers, cell phones, social media, and many other platforms. The connection is unending since we carry our phones to all places we go to and are still required to log into computers while at work. As nurses, we are also obligated to help in connecting patients to database banks. Therefore, it can be deduced that we live in a world of big data that is priceless. In this sense, the data comes with both negative and positive outcomes.

Potential Benefits of using Big Data (Clinical System)

Several benefits can be derived from having big data in the clinical/healthcare system. The benefits are evident from the time that one log into the electronic health record (EHR) to the time they log out. Valuable information is entered into the computers that can be used to develop better protocols. Make better patient outcomes, help enhance patient safety, and even ease the nursing profession. Other benefits include developing more insightful diagnoses and treatment, which could result in higher quality care (Wang, Kung & Byrd, 2018). Though collected information/ patients data, trends and patterns can be analyzed hence leading to high-quality care.

The collected and stored big data can also be beneficial because through records of signs and symptoms; diseases can be detected at an early stage. By identifying the lifestyle factors that increase the risks of contracting diseases, patients can then be advised on the best way of protecting themselves against such. Populations health can also be monitored regardless of where they are, hence quickly adjusting the treatment plans. The operational, financial and clinical data can also be analyzed for resource utilization and productivity in real-time (Raghupathi & Raghupathi, 2014). These are just but part of the anticipated benefits of having big data.

Potential Challenges/Risks of Big Data

There are particular challenges evident in using big data. The most common one is the inability to implement standardized nursing technology (SNT) fully. Should this challenge be addressed, then it can improve data analysis. The use of SNTs in nursing care helps in easy retrieval and data analysis through nurse’s clinical reasoning (Macieira et al., 2017). Through SNTs, the visibility of nursing intervention could be increased. Failing to implement its use is thus a significant challenge to the health care systems.

Besides, another significant challenge is the lack of data standardization. In such a case, healthcare systems find it hard to assess organizations’ performance and hence, cannot make well-informed decisions on what needs to be changed (Thew, 2018). According to Englebright, breaking down data silos or big data can be used to facilitate improved nursing performance (Thew, 2018). Having big data can also be risky because should the data leak to the wrong hands, such as cybercriminals, colossal damage can be experienced. It is thus demanding to have proper systems that protect the data to the fullest.

Big data risks are not limited to cyber-attacks, but internal data mishandling can also be risky enough. According to statistics, a quarter of all the cases related to healthcare data breaches resulted from unauthorized disclosure/access. More than twice the data breaches caused by internal mishandling were caused by hackers (Fox & Vaidyanathan, 2016). As learnt through the course materials, nursing informatics and big data are of great use to patients and professions, but all the benefits come with some challenges/risks.

Proposed Strategy

In my opinion, I would propose the use of stringent measures to implemented through Acts of parliament on privacy in healthcare or various professional bodies. An example of such is the Health Insurance Portability and Accountability Act (HIPPA). Data should thus be strictly kept, and only a few authorized agencies and organizations can access it. By so doing, patient data will fully be protected from the hands of ill intending people. Though maximum data security, good use can be derived, and health care systems making better the services they offer.

References

Fox, M., & Vaidyanathan, G. (2016). IMPACTS OF HEALTHCARE BIG DATA: A FRAMEWORK WITH LEGAL AND ETHICAL INSIGHTS. Issues in Information Systems, 17(3).

Macieira, T. G., Smith, M. B., Davis, N., Yao, Y., Wilkie, D. J., Lopez, K. D., & Keenan, G. (2017). Evidence of progress in making nursing practice visible using standardized nursing data: a systematic review. In AMIA Annual Symposium Proceedings (Vol. 2017, p. 1205). American Medical Informatics Association.

Raghupathi, W., & Raghupathi, V. (2014). Big data analytics in healthcare: promise and potential. Health information science and systems, 2(1), 1-10.

Thew, J. (2016, April 19). Big data means big potential, challenges for nurses execs. Retrieved from https://www.healthleadersmedia.com/nursing/big-data-means-bigpotential-challenges-nurse-execsLinks to an external site.

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, 3-13.

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NURS-6051 Week 5: Discussion BIG DATA RISKS AND REWARDS