NURS 6051 BIG DATA RISKS AND REWARDS

NURS 6051 BIG DATA RISKS AND REWARDS
Sample Answer for NURS 6051 BIG DATA RISKS AND REWARDS Included After Question

When you wake in the morning, you may reach for your cell phone to reply to a few text or email messages that you missed overnight. On your drive to work, you may stop to refuel your car. Upon your arrival, you might swipe a key card at the door to gain entrance to the facility. And before finally reaching your workstation, you may stop by the cafeteria to purchase a coffee. 

From the moment you wake, you are in fact a data-generation machine. Each use of your phone, every transaction you make using a debit or credit card, even your entrance to your place of work, creates data. It begs the question: How much data do you generate each day? Many studies have been conducted on this, and the numbers are staggering: Estimates suggest that nearly 1 million bytes of data are generated every second for every person on earth. 

As the volume of data increases, information professionals have looked for ways to use big data—large, complex sets of data that require specialized approaches to use effectively. Big data has the potential for significant rewards—and significant risks—to healthcare. In this Discussion, you will consider these risks and rewards. 

RESOURCES 

Be sure to review the Learning Resources before completing this activity.
Click the weekly resources link to access the resources.  

WEEKLY RESOURCES 
To Prepare: 
Review the Resources and reflect on the web article Big Data Means Big Potential, Challenges for Nurse Execs. 
Reflect on your own experience with complex health information access and management and consider potential challenges and risks you may have experienced or observed. 
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. 

*Note: Throughout this program, your fellow students are referred to as colleagues. 

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A Sample Answer For the Assignment: NURS 6051 BIG DATA RISKS AND REWARDS
Title: NURS 6051 BIG DATA RISKS AND REWARDS

When nurses enter data, they document essential information for the health team’s understanding of the patient. The importance of this information is critical to understanding and treatment methods. This data and the value of technology are meaningful use to a clinical system (Glassman, 2018). Technologies can be beneficial to gathering and analyzing patient data in a clinical setting. According to Glassman (2018), nurses must engage themselves in their feedback on big data processes and technology support. Nurses having a voice and being at the table to use good data for improved outcomes is key to making effective positive changes (Thew, 2016). Nurse leaders are interested in how to use big data for advocacy in best practice management. 

NURS 6051 BIG DATA RISKS AND REWARDS

The lack of data standardization and understanding of what to do with all the big data is an obvious barrier. As overwhelming as this subject is, I empathize with the nurse leader’s role in how to make changes from a large influx of data. To untap the value of big data, big data analytics and data mining may offer some solutions for healthcare organizations. Data management systems will help compartmentalize data suitable for big data that comes with healthcare data entry. A potential benefit for leaders is nurse managers using data analytics to view consolidated daily reports concerning patient safety concerns Wang et al. (2018). Data mining are tools to convert data into valuable knowledge. McGonigle & Mastrian, 2022 find that “Data mining includes tools for visualizing relations in the data and mechanizes the process of discovering predictive information in massive databases” (p.537). Nurse managers would be interested in how data mining technology could benefit the interests of their departments and patient outcomes. A nurse manager in a medical unit may be interested in fall prevention methods. Lee et al. (2011) further describe not all falls can be unavoidable, but reducing injuries and avoiding future falls align with desirable goals that healthcare providers and organizations could use from incident reporting system data. Incident data documentation reported by nurses would serve as data to establish fall prevention measures, guidelines, policies, and interventions. Big data could benefit this clinical area of interest through its abilities in data collection measures, methods, and analysis. 

Some challenges of using big data are the need for data standardization and the failure of how data can interact (Thew, 2016). In the example of incidents of falls, accurate fall prediction models may use data from the incident reporting systems. Data that is hard to code or document may use the free text option, which can be a challenging variable. Misinterpretation can also add to the risks and challenges of big data. 

A researched mitigation strategy to combat resistance to using big data is accepting and assuming the risk. Since fall prevention is a hot topic, I believe big data is a risk worth investing in. The link between evidence-based nursing knowledge and big data can intertwine in the improvement efforts in fall prevention programs. Stevens et al. (2017) described how “improving case management and implementation strategies that promote patient adherence to evidence-based strategies is crucial to successfully reducing falls” (p.77). The argument of why a nurse manager would advocate for specific methods concerning fall prevention measures would have supportive data rather than resorting to a person-to-person debate. In efforts to improve and understand healthcare to a greater degree, meaningful data is necessary (McGonigle & Mastrian, 2022). By using big data, there is an opportunity for improvements in several aspects of healthcare. 

Glassman, K. S. (2017). Using data in nursing practice Links to an external site. Links to an external site. American Nurse Today, 12(11), 45–47. Retrieved from https://www.americannursetoday.com/wp-content/uploads/2017/11/ant11-Data-1030.pdfLinks to an external site. 

Lee, T., Liu, C., Kuo, Y., Mills, M. E., Fong, J., & Hung, C. (2011). Application of data mining to the identification of critical factors in patient falls using a web-based reporting system. International Journal of Medical Informatics, 80(2), 141–150. https://doi.org/10.1016/j.ijmedinf.2010.10.009Links to an external site. 

McGonigle, D., & Mastrian, K. G. (2022). Nursing informatics and the foundation of knowledge (5th ed.). Jones & Bartlett Learning 

Stevens, J. A., Smith, M. L., Parker, E. M., Jiang, L., & Floyd, F. D. (2017). Implementing a Clinically Based Fall Prevention Program. American Journal of Lifestyle Medicine. https://doi.org/10.1177/1559827617716085 

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

Wang, Y., Kung, L., & Byrd, T. A. (2018). Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Links to an external site. Links to an external site. Technological Forecasting and Social Change, 126(1), 3–13.  

A Sample Answer 2 For the Assignment: NURS 6051 BIG DATA RISKS AND REWARDS
Title: NURS 6051 BIG DATA RISKS AND REWARDS
Introduction

According to Segal (2022), “big data refers to the large diverse set of information that grows at an ever-increasing rate”. This comprises of an amount of data, and the rate at which it is generated and captured including electronic health records (EHRs) medical imaging, genomic imaging, payor records, wearable and medical devices pharmaceutical research, etc. Big data can greatly impact any healthcare system and patient outcome when the relevant person views and compiles the information (Shilo,2020). The pledge of big data has brought great vision in health care research for treatment and innovation, personalized medicine, and optimal patient care that can reduce costs and impact client outcomes.

The EHR can produce outstanding data, software used by doctors and nurses and health care facilities in general for their daily activity. EHR is the big change health care need for progress and strengthens patient and clinician relationships. The Patient Protection and affordable care act, an electronic health record is being broadly adopted by most hospital care organizations large or small (Healthcare. gov,n.d). While there are benefits to EHRs, improving accessibility to patient data can create a threat to patient safety and increase the risk of Judicial liability for clinicians (Public Health,2021). Change in any environment required a new mindset and to be adaptable to ideas (McGonigle & Mastrian,2022).

The benefits of big data

The use of big data in health care, in fact, can help at different levels by (1) increasing early diagnosis and effectiveness and quality of management with trends to detect early signs of disease so intervention can be done; (2) looking for a strategy to prevent disease and identification of risk factors ;(3)improvement of pharmacovigilance and patient safety through the ability of access of health record by the client from the comfort of their home;(4) predict the outcomes;(6)finally big data can help identify and prompt intervene on high risk and high-cost patient and set up effective ways to manage these data to facilitate enabling detection of response to treatment and create a health care plan to meet every individual (Shilo,2020). Another benefit is that patients can talk to their providers via the patient portal, and you do not have to pay for that.

Risk of big data

One potential challenge for using EHRs is the interoperability between clinical systems. A full picture of a patient’s data is seen when various systems can communicate effectively. Diaz et al., (2023) note that big data is fueling the economy and how it interacts with various systems. My organization challenges the EHR implementation through planning, strong leadership, and involving all the stakeholders in the EHRs process.

Another potential challenge is data security, big data contains personal information and health history. Therefore, health system data should be secure and highly protected from data breaches such as hacking, cyberthief, or data fishing that can lead to data being stolen and sold to others.

Strategy to Mitigate the Risk

One strategy to mitigate the risk in data security is through using cloud technology in data storage. Cloud storage is often highly protected by healthcare organizations and cloud service providers (Wang et al.,2018). This gives you the benefit of data security since there are different data security layers that data theft must pass through to reach the data. 

Conclusion

In conclusion, technological progress is changing our lives in every industry including health care. Big data analytics promises to improve the healthcare industry by helping program business and operational systems and improving research to improve our lives. Big data is a priority for us as healthcare professionals because it aims to give our clients the best care by capturing the necessary data to improve the system.

References

Diaz, J. Marcolis, C. Washburn, R. (2023) How modern data platform fuels success How the Modern Data Platform Fuels Success | CDWLinks to an external site.

Healthcare.gov(n.d) the patient protection and affordable care act Patient Protection and Affordable Care Act – Glossary | HealthCare.govLinks to an external site.

McGonigle, D., & Mastrian, K. G. (2022). Nursing informatics and the foundation of knowledge(5th ed.). Burlington, MA: Jones & Bartlett Learning.

Public Health (2021) The advantages and disadvantages of electronic health record Advantages and Disadvantages of Electronic Health Records – Public HealthLinks to an external site.

Segal, T. (2022) what is big data? Definition of how it works and uses What Is Big Data? Definition, How It Works, and Uses (investopedia.com)Links to an external site.

Shilo S, Rossman H, Segal E. Axes of a revolution: challenges and promises of big data in healthcare. Nat Med. 2020 Jan;26(1):29-38. doi: 10.1038/s41591-019-0727-5. Epub 2020 Jan 13. PMID: 31932803.

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

A Sample Answer 3 For the Assignment: NURS 6051 BIG DATA RISKS AND REWARDS
Title: NURS 6051 BIG DATA RISKS AND REWARDS

There is much we can talk about concerning the positive part of big data. Big data in healthcare has great significance especially in the prediction of possible outcome of diseases prevention of co-morbidities, mortality and taking care of medical treatment expenses (Pastorino et al., 2019). In the era of technology, more people are in need of relevant information especially that touches on patients regarding their healthcare options or choices as well as how they will be part of their health decision-making process. In essence, the use of big data will help to equip patients with relevant and timely information to assist them be greatly involved in arriving at decisions that directly impact their care and treatment. 

Reference 

Pastorino, R., De Vito, C., Migliara, G., Glocker, K., Binenbaum, I., Ricciardi, W., & Boccia, S. (2019). Benefits and challenges of Big Data in healthcare: an overview of the European initiatives. European Journal Of Public Health, 29(Supplement_3), 23-27. doi: 10.1093/eurpub/ckz168 

A Sample Answer 4 For the Assignment: NURS 6051 BIG DATA RISKS AND REWARDS
Title: NURS 6051 BIG DATA RISKS AND REWARDS

Good job on your post, You addressed some valid points regarding data size. When data capacities are so large, it becomes difficult to determine which data points are valuable and insightful. It can create difficulty for nurse leaders who want to analyze, compute data and discover new knowledge to reveal patterns, trends, and associations, especially relating to human behavior and interactions that can improve the quality of care their staff provides. Another challenge is ensuring that the significant data insights are in the hands of the right people so that they can work honestly and critical information is not misused. Also, there can be challenges that may arise due to missing data or incomplete data.
Big Data can help healthcare providers meet these goals in unprecedented ways. The potential of Big Data in healthcare relies on the ability to detect patterns and to turn high volumes of data into actionable knowledge for precision medicine and decision-makers. In several contexts, the use of Big Data in healthcare is already offering solutions for improving patient care and generating value in healthcare organizations. By increasing earlier diagnosis and the effectiveness of information on health and access to health services and quality of treatments through the discovery of early signals. Overall, Big Data and predictive analytics can contribute to disease intervention and reduce the probability of adverse reactions. The major challenge with big healthcare data is sorting and prioritizing information. 

Reference 

Wang, Y., Kung, L., & Byrd, T. (2018). Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Technological Forecasting and Social Change, 126, 3–13. https://doi.org/10.1016/j.techfore.2015.12.019Links to an external site. 

A Sample Answer 5 For the Assignment: NURS 6051 BIG DATA RISKS AND REWARDS
Title: NURS 6051 BIG DATA RISKS AND REWARDS

Hi Shanea. Over the past decade, there has been a greater emphasis on the involvement of registered nurses in the development and implementation of health information technology systems to maintain patient safety and improve the quality of care services. Today, electronic health records remain a great source of protected health information and clinical documentation during the provision of care services by registered nurses and other healthcare professionals (Reid et al., 2021). The rapid deployment of EHR by healthcare organizations has created room for registered nurses to create digital versions of patient medical records and transform them into valuable clinical knowledge for preventing adverse events like patient falls and nosocomial infections, among many others. One of the greatest risks of utilizing big data from the digital versions of patient medical records is to maintain the integrity and quality of information system output (McGonigle & Mastrian, 2022). For instance, the digital versions of patient medical records are prone to manipulation and misinterpretation due to weak information security measures and the lack of relevant knowledge and skills for maintaining data integrity and quality. Through regular education and training, registered nurses and other healthcare professionals develop the required nursing informatics competencies, like maintaining strong access credentials for clinical information systems and data encryption to prevent manipulation and unauthorized access. 

References 

McGonigle, D., & Mastrian, K. G. (2022). Nursing informatics and the foundation of knowledge (5th ed.). Jones & Bartlett Learning. 

Reid, L., Maeder, A., Button, D., Breaden, K., & Brommeyer, M. (2021). Defining nursing informatics: A narrative review. Studies in Health Technology and Informatics, 284, 108–112. https://doi.org/10.3233/SHTI210680 

A Sample Answer 6 For the Assignment: NURS 6051 BIG DATA RISKS AND REWARDS
Title: NURS 6051 BIG DATA RISKS AND REWARDS

Just to add on what you have put across on the challenges: Considering the millions of data put out by every individual daily, it might be complicated to develop an appropriate way to properly understand how this information can help the nurses (Thew,2016). Data analytics is crucial in understanding big data, but most nursing leaders do not have the skills to properly analyze the information and come up with conclusive results that can help the nurses. Additionally, the nursing leaders do not have information that reflects on their nurses and patients (Thew,2016). This means they cannot understand whether the nurses are committed to their work and whether the patients will follow the instructions given to them. For most nursing leaders, this is a time and labor-intensive process when manually analyzing the information on their patients and nurses. 

Reference: 

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

A Sample Answer 7 For the Assignment: NURS 6051 BIG DATA RISKS AND REWARDS
Title: NURS 6051 BIG DATA RISKS AND REWARDS

Thanks for sharing on the topic of big data and how it affects the different aspects of healthcare. Big data impacts direct patient care as well as long term patient outcomes which is why it is vital that we understand what it is and why we use it (Duquesne University, 2022).  

Electronic Health Records are the primary way that we see big data used in healthcare which makes patient data more accessible and easier to share with others (Duquesne University, 2022). Electronic health record data can be generated, stored, cross referenced, and analyzed to yield valuable results which makes it possible for patients to receive consistent and reliable care at multiple facilities (Duquesne University, 2022). This data may also be used to make informed decision on the direction of a patients care in the future (Duquesne University, 2022). Some people have even said that machine learning algorithms may be used in the future to consider and evaluate more details of a patients EHR than any physician would be able to which may be able to detect patient risks and diseases earlier on resulting in better patient care (Duquesne University, 2022). Although this seems far-fetched, I do believe that there are many benefits to having patient records contained in one area that allows easy access for multiple providers across the care spectrum.  

Nurses must be involved in the data collection and assessment process in order to care for their patients well (American Nurse, 2021). Nurses are a key aspect of patients receiving quality and safe care. At the same time, we cannot ensure that these big data programs are working efficiently and safely without nurses being involved in the process. Nurses must constantly be evaluating what can be improved in the big data process in order to ensure that big data is continually effective and informative to patient care.  

Thanks for sharing on this topic!  

References  

American Nurse. (2021, March 12). Using data in nursing practice. https://www.myamericannurse.com/using-data-nursing-practice/ 

Duquesne University. (2022, June 2). What Is Big Data in Healthcare? Duquesne University School of Nursing. https://onlinenursing.duq.edu/blog/what-is-big-data-in-healthcare/ 

A Sample Answer 8 For the Assignment: NURS 6051 BIG DATA RISKS AND REWARDS
Title: NURS 6051 BIG DATA RISKS AND REWARDS

 Data is crucial in guiding critical decision-making processes in healthcare settings. Therefore, healthcare professionals use different strategies to collect and retrieve data. The importance of this information is critical to understanding and treatment methods. Besides, the data can be misused when accessed by wrong people (Mehta & Pandit, 2018). Thus, healthcare facilities have developed mechanisms that safeguard their data and any other health-related information. Technologies have transformed data gathering, analysis, and protection. At the same time, technology has also exposed data to various risks such as unauthorized access. Healthcare professionals are now compelled to work with informational technology experts to protect their data from unauthorized access (Dash et al., 2019). Nurses having a voice and being at the table to use good data for improved outcomes is key to making effective positive changes. Similarly, these healthcare workers are responsible for any wrong utilization of data. Some challenges of using big data are the need for data standardization and the failure of how data can interact. 

References 

Dash, S., Shakyawar, S. K., Sharma, M., & Kaushik, S. (2019). Big data in healthcare: management, analysis and future prospects. Journal of Big Data, 6(1), 1-25. 

Mehta, N., & Pandit, A. (2018). Concurrence of big data analytics and healthcare: A systematic review. International journal of medical informatics, 114, 57-65. https://doi.org/10.1016/j.ijmedinf.2018.03.013Links to an external site. 

A Sample Answer 9 For the Assignment: NURS 6051 BIG DATA RISKS AND REWARDS
Title: NURS 6051 BIG DATA RISKS AND REWARDS

After the new Health Information Technology Act (HITECH) of 2009 went into effect, the electronic health record (EHR) became the largest application of big data in the healthcare industry. The HITECH act in the U.S. have been the reason why 80% of acute care hospitals that uses the EHR are certified (Ross, 2014, p. 97). The one benefit of the EHR program is the ability of the platform to absorb large amounts of data such as a patient demographics, medical history, allergies and laboratories values. This makes it easy for clinicians to improve patient quality of care by tracking progress and identifying potential problems early in their medical history. If a clinician attempts to order norco for pain, the EHR will display a best practice advisory (BPA) alert and flag the patient codeine allergy; this will redirect the clinician to considering another pain medication that would not put the patient at risk for an adverse drug reaction. Adverse drug events are estimated to occur in 30% or more of hospital stays and cost billions of dollars (Ross, 2014, p. 98). This is a great benefit big data have provided in the development of the EHR program. 

            The major challenge with EHR is keeping patient health information safe by preventing access to unauthorized individuals. At my facility, the IT department have assigned employee education modules on cyber-attacks. For example, an employee received an email from an IT associate about a Hospital EHR update and upon request, gave their login name and password. Shortly after the information was given, the cyber attacker was able to login into the EHR, steal approximately 50 patient’s information and changed all the employee direct deposit bank accounts to an off shore financial institution in the Caribbean. Luckily, the IT department was notified immediately and was able to prevent the massive transfer of money, but was not successful in protecting the patient’s healthcare data. After this sentinel event, all employees are quarterly required to take education modules on the best practices to mitigate the challenges of a cyber-attack.

It is important to never give your password out and to always encrypt your emails. The new tiger connect system at my facility have features to encrypt your passwords and email before sending a message. In order to hold employees accountable, leadership have started to audit employees to ensure their following the safety protocols. Sometimes fake emails will be sent out to employees to ensure everybody understand there is never a right time to give their login information and the IT associates will never ask for this information.  At the hospital, there are policies and procedures that serve to maintain patient privacy and confidentiality; for example, employees must not share their ID with anyone, always log off when leaving a computer and only use their own ID to access patient digital records (Jamshed, 2015, p. 75). We use a new device called WaveID, where your password automatically log in after waving your employee ID over a keyboard magnet. It is a convenient and easy for an individual to steal your badge, which is why it is important to follow the policy in place and mitigate the risk of another cyber-attack. 

 References: 

Jamshed, N., Ozair, F., Sharma, A., & Aggarwal, P. (2015). Ethical issues in electronic health records: A general overview. Perspectives in Clinical Research, 6(2), 73–76. https://doi.org/10.4103/2229-3485.153997Links to an external site. 

Ross, M. K., Wei, W., & Ohno-Machado, L. (2014). “Big data” and the electronic health record. Yearbook of Medical Informatics, 23(01), 97–104. https://doi.org/10.15265/iy-2014-0003Links to an external site. 

 Kruse, C. S., Smith, B., Vanderlinden, H., & Nealand, A. (2017). Security techniques for the electronic health records. Journal of Medical Systems, 41(8), 1–10. https://doi.org/10.1007/s10916-017-0778-4Links to an external site. 

A Sample Answer 10 For the Assignment: NURS 6051 BIG DATA RISKS AND REWARDS
Title: NURS 6051 BIG DATA RISKS AND REWARDS

Thanks for your comments here.  With all the advanced technology available, we put our systems at high risk for the possibility of stolen information from hackers. Maintenance of a system is very important. It is difficult to know what extent PHI is protected from hackers. The HIPPA rule requires specific requirements and rules to safeguard electronic protected health information to ensure its confidentiality, integrity, and security. A few safety measures built into electronic health record (EHR) systems to protect the medical record include: “Access control” tools like passwords and PIN numbers, to limit access to patient information to authorized individuals, like the patient’s doctors or nurses and “Encrypting” stored information. This means health information cannot be read or understood except by someone who can “decrypt” it, using a special “key” made available only to authorized individuals. How is your workplace protecting data? Thanks in advance, Dr. Howe 

I appreciated your outlook on the discussion this week. You highlighted some meaningful use for EMRs on quality and safety. An opportunity for nurses to add to the topic of adverse drug events could be in their partnership with the vendors of EMR systems to incorporate narrative-style documentation in addition to flow sheet data from adverse events (Glassman, 2018). The general theme of big data benefits seems centered around involvement and having the data work for a greater purpose. I can relate to the incident you describe at your workplace facility, and I empathize as I have had a similar experience in the healthcare organization I use. Within our local community, there is a monopoly and lack of healthcare access and competition. With only one healthcare facility within a 50-mile radius for a higher level of care opinion, it recently fell victim to a mass cyber-attack. With a recent hack in security, I have witnessed the fallout in trust in the patient relationship with the organization, employees, and providers. A heightened level of disruption has intimately affected numerous community members and me. Getting a letter for free identity theft monitoring was quite unsettling as the solution proposed by the organization.

As a patient within a healthcare system and an employee, I felt angry and unsettled; I can only imagine those members who lack an understanding of cyber security. Building a culture around the responsibility of cybersecurity has to stem from education and collaboration efforts like the ones you describe and then some. According to Niki et al. (2022), “cybersecurity in healthcare is not a duty or an obligation but an act of responsibility. When patients and families entrust their lives to the health system and its professionals, their complete commitment to excellence in delivery is a basic expectation” (para 1). With this tremendous fallout effect, the lack of competition in rural hospitals and department infrastructure is desperate for innovative leadership (Austin B. Frakt, 2019). I think cybersecurity and better meaningful use would enhance patient safety and the patient and staff’s confidence in assuring their information is secure and used for its intended value. 

References 

Austin B. Frakt, P. D. (2019, June 18). The rural hospital problem. JAMA. Retrieved December 28, 2022, from https://jamanetwork.com/journals/jama/article-abstract/2735806 

Glassman, K. S. (2017). Using data in nursing practice Links to an external site. Links to an external site. Links to an external site. American Nurse Today, 12(11), 45–47. Retrieved from https://www.americannursetoday.com/wp-content/uploads/2017/11/ant11-Data-1030.pdfLinks to an external site. 

Niki, B., Saira, G., Arvind, S., & Mike, D. (2022). Cyber-attacks are a permanent and substantial threat to health systems: Education must reflect that. DIGITAL HEALTH. https://doi.org/10.1177/20552076221104665Links to an external site. 

A Sample Answer 11 For the Assignment: NURS 6051 BIG DATA RISKS AND REWARDS
Title: NURS 6051 BIG DATA RISKS AND REWARDS

Hi Victavian. Thank you for your insights in this week’s post. When you mentioned your facility having a security breach of its EHR, it brought back memories of my hospital corporation having its breach years ago. We also have to have mandatory education competencies completed regarding cyber security and the risks of phishing emails. Unfortunately, this happened at your facility, but it seems everyone responded quickly to help mitigate the a