Big Data Risks and Rewards 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. 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. Click on the Reply button below to reveal the textbox for entering your message. Then click on the Submit button to post your message. *Note: Throughout this program, your fellow students are referred to as colleagues. Tags: NoneREPLY QUOTE MARK AS READ Thread:Discussion - Week 5Post:Are you reading Instructor feedback?Author: Deanna Howe WALDEN INSTRUCTOR MANAGERPosted Date:May 27, 2021 4:34 AMStatus:Published As a reminder for success in discussion posts: Hi all, Every semester I have students who do not meet the posting requirements. It is really important to read the grading rubric so that you understand the expectations. 1. The main post is always due by midnight on Wednesdays. 2. Peer posts are due no later than Saturday at midnight. 3. There must be three (3) total posts in one week. 4. The main post must include a minimum of three (3) scholarly sources as an in text citation and as references. Each reference must have a matching in text citation and every citation a matching reference. They both should match. 5. Peer posts must include a minimum of two (2) scholarly sources as an in text citation and as references. Each reference must have a matching in text citation and every citation a matching reference. They both should match. 6. APA 7th edition formatting guide has been used for a year now. The expectation is that you use this appropriately. I will give feedback but please read each discussion week to ensure you are improving. 7. Write in a substantive way. Participation is important in online courses and I am assessing what you are learning. Just a few sentences is not adequate and result in lower scores. I am looking forward to working with each of you this semester. Dr. Howe Please do not plagerize as she is very intune. Required Readings McGonigle, D., & Mastrian, K. G. (2017). Nursing informatics and the foundation of knowledge (4th ed.). Burlington, MA: Jones & Bartlett Learning. Chapter 22, "Data Mining as a Research Tool" (pp. 477-493) Chapter 24, "Bioinformatics, Biomedical Informatics, and Computational Biology" (pp. 537-551) Glassman, K. S. (2017). Using data in nursing practice. American Nurse Today, 12(11), 45–47. Retrieved from https://www.americannursetoday.com/wp-content/uploads/2017/11/ant11-Data-1030.pdf Thew, J. (2016, April 19). Big data means big potential, challenges for nurse execs. 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. Technological Forecasting and Social Change, 126(1), 3–13. Required Media Laureate Education (Executive Producer). (2012). Data, information, knowledge and wisdom continuum [Multimedia file]. Baltimore, MD: Author. Retrieved from http://mym.cdn.laureate-media.com/2dett4d/Walden/NURS/6051/03/mm/continuum/index.html Laureate Education (Producer). (2018). Health Informatics and Population Health: Analyzing Data for Clinical Success [Video file]. Baltimore, MD: Author. Accessible player Vinay Shanthagiri. (2014). Big Data in Health Informatics [Video file]. Retrieved from https://www.youtube.com/watch?v=4W6zGmH_pOw

ANSWER. PAPER DETAILS
Academic Level	Masters
Subject Area	Architecture
Paper Type	Discussion Post
Number of Pages	2 Page(s)/550 words
Sources	4
Format	APA
Spacing	Double Spacing

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