Big Data Means Big Potential Challenges for Nurse Execs
Big Data Means Big Potential Challenges for Nurse Execs
I did sent to you the attach with all instructions to follow. It may look a lot but it is just to reply following the rules of APA style with in citation and reference from the resource list that university provide for this module3. Tutor must and expert in Master inn Acute APRN (nurse) program. I sent the 2 students discussion to respond, and my discussion paper. Thank you I really appreciated it. Big Data Means Big Potential Challenges for Nurse Execs
Discussion: 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. Big Data Means Big Potential Challenges for Nurse Execs
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.Big Data Means Big Potential Challenges for Nurse Execs 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. Big Data Means Big Potential Challenges for Nurse Execs
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.
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.Big Data Means Big Potential Challenges for Nurse Execs
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. Big Data Means Big Potential Challenges for Nurse Execs I did included the 2 students discussion, and MINE discussion as well at the end of this attach
Rubric Detail
| Excellent | Fair | Poor | ||||
| Main Posting | 45 (45%) – 50 (50%)
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. |
35 (35%) – 39 (39%)
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. |
0 (0%) – 34 (34%)
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. |
|||
| Main Post: Timeliness | 10 (10%) – 10 (10%)
Posts main post by day 3. |
0 (0%) – 0 (0%) | 0 (0%) – 0 (0%)
Does not post by day 3. |
|||
| First Response | 17 (17%) – 18 (18%)
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. |
13 (13%) – 14 (14%)
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. |
0 (0%) – 12 (12%)
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. |
|||
| Second Response | 16 (16%) – 17 (17%)
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. |
. | 12 (12%) – 13 (13%)
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. |
0 (0%) – 11 (11%)
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. |
||
| Participation | 5 (5%) – 5 (5%)
Meets requirements for participation by posting on three different days. |
0 (0%) – 0 (0%) | 0 (0%) – 0 (0%)
Does not meet requirements for participation by posting on 3 different days. |
|||
| Total Points: 100 | ||||||
Name: NURS_5051_Module03_Week05_Discussion_Rubric
Learning Resources
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) Big Data Means Big Potential Challenges for Nurse Execs
Big Data Means Big Potential Challenges for Nurse Execs
Big Data Means Big Potential Challenges for Nurse Execs
Required Media
Laureate Education (Producer). (2018). Health Informatics and Population Health: Analyzing Data for Clinical Success [Video file]. Baltimore, MD: Author.