BIG DATA RISKS AND REWARDS NURS 6050

Sample Answer for BIG DATA RISKS AND REWARDS NURS 6050 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. 

BIG DATA RISKS AND REWARDS NURS 6050
BIG DATA RISKS AND REWARDS NURS 6050

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. 

A Sample Answer For the Assignment: BIG DATA RISKS AND REWARDS NURS 6050

Title: BIG DATA RISKS AND REWARDS NURS 6050

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 2 For the Assignment: BIG DATA RISKS AND REWARDS NURS 6050

Title: BIG DATA RISKS AND REWARDS NURS 6050

Thanks for your informative post, I really enjoyed reading it. The name itself, big data shows how”big” the data can be. It is too big to be processed by a traditional data software. You mentioned using cloud technology in data storage. In healthcare there could be so many complications, which is known as the four V’s. “Faced with the challenges of healthcare data – such as volume, velocity, variety, and veracity – health systems need to adopt technology capable of collecting, storing, and analyzing this information to produce actionable insights.” (What is Big Data in healthcare, 2021). I believe this is a huge step forward in the healthcare industry. I believe it’s important to look at both the positive and the negative in circumstances. “However, more recently, healthcare researchers are exposing the potential and harmful effects Big Data can have on patient care associating it with increased medical costs, patient mortality, and misguided decision making by clinicians and healthcare policy makers” (Househ et al.,2022). I believe that can be avoided by proper training and education. Overall, I think big data is a great addition to technology.

References:

Househ MS;Aldosari B;Alanazi A;Kushniruk AW;Borycki EM; (2022). Big Data, big problems: A healthcare perspective. Studies in health technology and informatics. https://pubmed.ncbi.nlm.nih.gov/28679881/#:~:text=However%2C%20more%20recently%2C%20healthcare%20researchers,clinicians%20and%20healthcare%20policy%20makersLinks to an external site..

What is Big Data in healthcare?: Mercury Healthcare. What is Big Data in Healthcare? | Mercury Healthcare. (2021, April). https://www.mercuryhealthcare.com/faq/what-is-healthcare-big-dataLinks to an external site.

NURS_5051_Module03_Week05_Discussion_Rubric 

NURS_5051_Module03_Week05_Discussion_Rubric 
Criteria  Ratings  Pts 
This criterion is linked to a Learning OutcomeMain Posting 
50 to >44.0 pts 

Excellent 

Answers all parts of the discussion question(s) expectations with reflective critical analysis and synthesis of knowledge gained from the course readings for the module and current credible sources. … Supported by at least three current, credible sources. … Written clearly and concisely with no grammatical or spelling errors and fully adheres to current APA manual writing rules and style. 

44 to >39.0 pts 

Good 

Responds to the discussion question(s) and is reflective with critical analysis and synthesis of knowledge gained from the course readings for the module. … At least 75% of post has exceptional depth and breadth. … Supported by at least three credible sources. … Written clearly and concisely with one or no grammatical or spelling errors and fully adheres to current APA manual writing rules and style. 

39 to >34.0 pts 

Fair 

Responds to some of the discussion question(s). … One or two criteria are not addressed or are superficially addressed. … Is somewhat lacking reflection and critical analysis and synthesis. … Somewhat represents knowledge gained from the course readings for the module. … Post is cited with two credible sources. … Written somewhat concisely; may contain more than two spelling or grammatical errors. … Contains some APA formatting errors. 

34 to >0 pts 

Poor 

Does not respond to the discussion question(s) adequately. … Lacks depth or superficially addresses criteria. … Lacks reflection and critical analysis and synthesis. … Does not represent knowledge gained from the course readings for the module. … Contains only one or no credible sources. … Not written clearly or concisely. … Contains more than two spelling or grammatical errors. … Does not adhere to current APA manual writing rules and style. 

 

50 pts 
This criterion is linked to a Learning OutcomeMain Post: Timeliness 
10 to >0.0 pts 

Excellent 

Posts main post by day 3. 

0 pts 

Poor 

Does not post by day 3. 

 

10 pts 
This criterion is linked to a Learning OutcomeFirst Response 
18 to >16.0 pts 

Excellent 

Response exhibits synthesis, critical thinking, and application to practice settings. … Responds fully to questions posed by faculty. … Provides clear, concise opinions and ideas that are supported by at least two scholarly sources. … Demonstrates synthesis and understanding of learning objectives. … Communication is professional and respectful to colleagues. … Responses to faculty questions are fully answered, if posed. … Response is effectively written in standard, edited English. 

16 to >14.0 pts 

Good 

Response exhibits critical thinking and application to practice settings. … Communication is professional and respectful to colleagues. … Responses to faculty questions are answered, if posed. … Provides clear, concise opinions and ideas that are supported by two or more credible sources. … Response is effectively written in standard, edited English. 

14 to >12.0 pts 

Fair 

Response is on topic and may have some depth. … Responses posted in the discussion may lack effective professional communication. … Responses to faculty questions are somewhat answered, if posed. … Response may lack clear, concise opinions and ideas, and a few or no credible sources are cited. 

12 to >0 pts 

Poor 

Response may not be on topic and lacks depth. … Responses posted in the discussion lack effective professional communication. … Responses to faculty questions are missing. … No credible sources are cited. 

 

18 pts 
This criterion is linked to a Learning OutcomeSecond Response 
17 to >15.0 pts 

Excellent 

Response exhibits synthesis, critical thinking, and application to practice settings. … Responds fully to questions posed by faculty. … Provides clear, concise opinions and ideas that are supported by at least two scholarly sources. … Demonstrates synthesis and understanding of learning objectives. … Communication is professional and respectful to colleagues. … Responses to faculty questions are fully answered, if posed. … Response is effectively written in standard, edited English. 

15 to >13.0 pts 

Good 

Response exhibits critical thinking and application to practice settings. … Communication is professional and respectful to colleagues. … Responses to faculty questions are answered, if posed. … Provides clear, concise opinions and ideas that are supported by two or more credible sources. … Response is effectively written in standard, edited English. 

13 to >11.0 pts 

Fair 

Response is on topic and may have some depth. … Responses posted in the discussion may lack effective professional communication. … Responses to faculty questions are somewhat answered, if posed. … Response may lack clear, concise opinions and ideas, and a few or no credible sources are cited. 

11 to >0 pts 

Poor 

Response may not be on topic and lacks depth. … Responses posted in the discussion lack effective professional communication. … Responses to faculty questions are missing. … No credible sources are cited. 

 

17 pts 
This criterion is linked to a Learning OutcomeParticipation 
5 to >0.0 pts 

Excellent 

Meets requirements for participation by posting on three different days. 

0 pts 

Poor 

Does not meet requirements for participation by posting on 3 different days. 

 

5 pts 
Total Points: 100