Application of Data to Problem-Solving discussion
/in Nursing Homework Help /by Naomi NasApplication of Data to Problem-Solving discussion
Module 1: What Is Informatics? (Weeks 1-2)
Laureate Education (Producer). (2018). What is Informatics? [Video file]. Baltimore, MD: Author.
Learning Objectives
Students will:
- Analyze how data collection and access can be used to derive knowledge in a healthcare setting
- Analyze the role of the nurse leader in using clinical reasoning and judgement in the formation of knowledge
- Explain the role of the nurse as a knowledge worker. Application of Data to Problem-Solving discussion
- Explain concepts of nursing informatics
- Create infographics related to nursing informatics and the role of the nurse as a knowledge worker
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| Due By | Assignment |
|---|---|
| Week 1, Days 1–2 | Read/Watch/Listen to the Learning Resources. Compose your initial Discussion post. |
| Week 1, Day 3 | Post your initial Discussion post. Begin to compose your Assignment. |
| Week 1, Days 4-5 | Review peer Discussion posts. Compose your peer Discussion responses. Continue to compose your Assignment. |
| Week 1, Day 6 | Post at least two peer Discussion responses on two different days (and not the same day as the initial post). Continue to compose your Assignment. |
| Week 1, Day 7 | Wrap up Discussion. |
| Week 2, Day 1–6 | Continue to compose your Assignment. |
| Week 2, Day 7 | Deadline to submit your Assignment. |
Learning Resources
Note: To access this module’s required library resources, please click on the link to the Course Readings List, found in the Course Materials section of your Syllabus.
Required Readings
McGonigle, D., & Mastrian, K. G. (2017). Nursing informatics and the foundation of knowledge (4th ed.). Burlington, MA: Jones & Bartlett Learning.
- Chapter 1, “Nursing Science and the Foundation of Knowledge” (pp. 7–19)
- Chapter 2, “Introduction to Information, Information Science, and Information Systems” (pp. 21–33)
- Chapter 3, “Computer Science and the Foundation of Knowledge Model” (pp. 35–62)
Nagle, L., Sermeus, W., & Junger, A. (2017). Evolving Role of the Nursing Infomatics Specialist. In J. Murphy, W. Goosen, & P. Weber (Eds.), Forecasting Competencies for Nurses in the Future of Connected Health (212-221). Clifton, VA: IMIA and IOS Press. Retrieved from https://serval.unil.ch/resource/serval:BIB_4A0FEA56B8CB.P001/REF
Sweeney, J. (2017). Healthcare informatics. Online Journal of Nursing Informatics, 21(1).
Note: You will access this article from the Walden Library databases.
Required Media
Laureate Education (Producer). (2018). Health Informatics and Population Health: Trends in Population Health [Video file]. Baltimore, MD: Author.
Credit: Provided courtesy of the Laureate International Network of Universities.
Public Health Informatics Institute. (2017). Public Health Informatics: “translating” knowledge for health [Video file]. Retrieved from https://www.youtube.com/watch?v=fLUygA8Hpfo
Discussion: The Application of Data to Problem-Solving
In the modern era, there are few professions that do not to some extent rely on data. Stockbrokers rely on market data to advise clients on financial matters. Meteorologists rely on weather data to forecast weather conditions, while realtors rely on data to advise on the purchase and sale of property. In these and other cases, data not only helps solve problems, but adds to the practitioner’s and the discipline’s body of knowledge.
Of course, the nursing profession also relies heavily on data. The field of nursing informatics aims to make sure nurses have access to the appropriate date to solve healthcare problems, make decisions in the interest of patients, and add to knowledge.
In this Discussion, you will consider a scenario that would benefit from access to data and how such access could facilitate both problem-solving and knowledge formation.
To Prepare:
- Reflect on the concepts of informatics and knowledge work as presented in the Resources.
- Consider a hypothetical scenario based on your own healthcare practice or organization that would require or benefit from the access/collection and application of data. Your scenario may involve a patient, staff, or management problem or gap. Application of Data to Problem-Solving discussion
By Day 3 of Week 1
Post a description of the focus of your scenario. Describe the data that could be used and how the data might be collected and accessed. What knowledge might be derived from that data? How would a nurse leader use clinical reasoning and judgment in the formation of knowledge from this experience?
By Day 6 of Week 1
Respond to at least two of your colleagues* on two different days, asking questions to help clarify the scenario and application of data, or offering additional/alternative ideas for the application of nursing informatics principles.
*Note: Throughout this program, your fellow students are referred to as colleagues.
Submission and Grading Information
Grading Criteria
To access your rubric:
Week 1 Discussion Rubric
Post by Day 3 and Respond by Day 6 of Week 1
To participate in this Discussion:
Week 1 Discussion
NURS_5051_Module01_Week01_Discussion_Rubric
| Excellent | Good | 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. |
40 (40%) – 44 (44%)
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. |
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%)
|
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. |
15 (15%) – 16 (16%)
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 (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. |
14 (14%) – 15 (15%)
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. |
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%)
|
0 (0%) – 0 (0%)
Does not meet requirements for participation by posting on 3 different days. Application of Data to Problem-Solving discussion
|
| Total Points: 100 |
|---|
Discussion: The Application of Data to Problem-Solving
In the modern era, there are few professions that do not to some extent rely on data. Stockbrokers rely on market data to advise clients on financial matters. Meteorologists rely on weather data to forecast weather conditions, while realtors rely on data to advise on the purchase and sale of property. In these and other cases, data not only helps solve problems, but adds to the practitioner’s and the discipline’s body of knowledge.
Of course, the nursing profession also relies heavily on data. The field of nursing informatics aims to make sure nurses have access to the appropriate date to solve healthcare problems, make decisions in the interest of patients, and add to knowledge.
In this Discussion, you will consider a scenario that would benefit from access to data and how such access could facilitate both problem-solving and knowledge formation.
To Prepare:
- Reflect on the concepts of informatics and knowledge work as presented in the Resources.
- Consider a hypothetical scenario based on your own healthcare practice or organization that would require or benefit from the access/collection and application of data. Your scenario may involve a patient, staff, or management problem or gap.
By Day 3 of Week 1
Post a description of the focus of your scenario. Describe the data that could be used and how the data might be collected and accessed. What knowledge might be derived from that data? How would a nurse leader use clinical reasoning and judgment in the formation of knowledge from this experience?
By Day 6 of Week 1
Respond to at least two of your colleagues* on two different days, asking questions to help clarify the scenario and application of data, or offering additional/alternative ideas for the application of nursing informatics principles. Application of Data to Problem-Solving discussion
*Note: Throughout this program, your fellow students are referred to as colleagues.
