Assignment: The Impact of Nursing Informatics on Patient Outcomes and Patient Care Efficiencies NURS 5051

In the Discussion for this module, you considered the interaction of nurse informaticists with other specialists to ensure successful care. How is that success determined?

Patient outcomes and the fulfillment of care goals is one of the major ways that healthcare success is measured. Measuring patient outcomes results in the generation of data that can be used to improve results. Nursing informatics can have a significant part in this process and can help to improve outcomes by improving processes, identifying at-risk patients, and enhancing efficiency. Assignment: The Impact of Nursing Informatics on Patient Outcomes and Patient Care Efficiencies NURS 5051

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To Prepare:

Review the concepts of technology application as presented in the Resources.
Reflect on how emerging technologies such as artificial intelligence may help fortify nursing informatics as a specialty by leading to increased impact on patient outcomes or patient care efficiencies.
The Assignment: (4-5 pages not including the title and reference page)

In a 4- to 5-page project proposal written to the leadership of your healthcare organization, propose a nursing informatics project for your organization that you advocate to improve patient outcomes or patient-care efficiency. Your project proposal should include the following:

Describe the project you propose.
Identify the stakeholders impacted by this project.
Explain the patient outcome(s) or patient-care efficiencies this project is aimed at improving and explain how this improvement would occur. Be specific and provide examples.
Identify the technologies required to implement this project and explain why.
Identify the project team (by roles) and explain how you would incorporate the nurse informaticist in the project team.

Members of the Project Team

The project group will comprise of the Quality Improvement Manager. At first, the Quality Improvement Manager should meet with the clinic heads to talk about the spending limit and money related support of the project. Eventually, the spending will decide whether another project is monetarily possible for the hospital at this time. The Quality Improvement Manager will be answerable for structuring and executing the new way to deal with accepting and acquiring bedside report at move change (Honey & Skiba, 2017). The person will likewise give and disclose the new changes to the nurse directors of each clinic unit. The nurse directors will assume instrumental jobs as individuals from the project group. The nurse directors will be liable for executing bedside nursing reports on their units. They are additionally liable for furnishing the nurses on the units with the best possible training to guarantee the implementation of next to report a smooth change.  The facility may likewise uphold a time-sensitive deadline for the project to be a functioning procedure on each clinic unit. The nurse manager will be answerable for complying with this time constraint on their units. Nurse informaticists must encourage the consideration of computational instruments and calculations to help handle the assortment, association, examination, preparing, introduction, and dispersal of organic information (Mcgonigle & Mastrian, 2017). The nurse informaticists would make a framework to track, measure, and assess the kinds of blunders discovered during bedside report. The following of this information would be valuable to give further upgrades to persistent security picked up with bedside report. Assignment: The Impact of Nursing Informatics on Patient Outcomes and Patient Care Efficiencies NURS 5051

Conclusion

It concludes that planning and implementing change in nursing practice can introduce difficulties. Patient consideration and how the consideration is conveyed is the establishment wherein healthcare organizations started. Beyond question, technology improving apparatuses influence each part of the nursing procedure in each care delivery condition. To build patient fulfillment and safety, medicinal services offices must be focused on giving consistent consideration successfully and proficiently. Healthcare organizations can do this all the more adequately through such nurse communication forms as bedside nursing report.  Implementing the bedside nursing report forms into the nurse work process through technology that fabricates trust and connections and makes network with patients outside the emergency clinic dividers. Closing the communication gaps through bedside nursing report that different nurses, patients, and families improve patient and staff fulfillment and clinical results while carrying budgetary advantages to the organization.

References

Darvish, A., Bahramnezhad, F., & Keyhanian, S. (2014). The Role of Nursing Informatics on Promoting Quality of Health Care and the Need for Appropriate Education. Glob J Health Sci, 11-18.

Honey, M. L., & Skiba, D. J. (2017). Nursing Informatics Competencies for Entry to Practice: The Perspective of Six Countries. Forecasting Informatics Competencies for Nurses in the Future of Connected Health.

Mcgonigle & Mastrian, K. (2017). Nursing Informatics and the Foundation of Knowledge. Jones & Bartlett Learning.

Safdari, R., & Azad, Z. (2014). Solutions and Strategies for Nursing Informatics Development. International Journal of Nursing and Health Science, 4-12.

Thomas, T. W., & Seifert, P. C. (2016). Registered Nurses Leading Innovative Changes. OJIN: The Online Journal of Issues in Nursing.

Verma, M., & Gupta, S. (n.d.). Competency in informatics for nursing professional in India: Imbibing the tech-culture among nursing professionals. 2019.

Use APA format and include a title page and reference page.
Use the Safe Assign Drafts to check your match percentage before submitting your work. Assignment: The Impact of Nursing Informatics on Patient Outcomes and Patient Care Efficiencies NURS 5051
By Day 7 of Week 4

Submit your completed Project Proposal.

Submission and Grading Information

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Module 2: The Role of the Informatics Specialist in Healthcare (Week 3)

Laureate Education (Producer). (2018). The Nurse Informaticist [Video file]. Baltimore, MD: Author.

Learning Objectives
Students will:
Analyze interactions between nurse informaticists, data/technology specialists, and other professionals in healthcare organizations
Recommend strategies to improve interactions between nurse informaticists and other professionals
Analyze how nursing informatics as a specialty and new technologies impact interactions between nurse informaticists and members of healthcare teams
Recommend nursing informatics projects to improve outcomes or efficiencies in healthcare organizations
Identify stakeholders impacted by nursing informatics projects
Analyze how nursing informatics projects improve outcomes or efficiencies in healthcare organizations
Identify technologies required for implementation of nursing informatics projects
Analyze the role of the nurse informaticist in nursing informatics project teams
Due By
Assignment
Week 3, Days 1–2
Read/Watch/Listen to the Learning Resources.
Compose your initial Discussion post.
Week 3, Day 3
Post your initial Discussion post.
Begin to compose your Assignment.
Week 3, Days 4-5
Review peer Discussion posts.
Compose your peer Discussion responses.
Continue to compose your Assignment.
Week 3, Day 6
Post at least two peer Discussion responses on two different days (and not the same day as the initial post).
Week 3, Day 7
Wrap up Discussion.
Deadline to submit your Assignment.
Photo Credit: [Ariel Skelley]/[Blend Images]/Getty Images

Learning Resources
Note: To access this week’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. Assignment: The Impact of Nursing Informatics on Patient Outcomes and Patient Care Efficiencies NURS 5051

Chapter 25, “The Art of Caring in Technology-Laden Environments” (pp. 525–535)
Chapter 26, “Nursing Informatics and the Foundation of Knowledge” (pp. 537–551)
American Nurses Association. (2018). Inclusion of recognized terminologies supporting nursing practice within electronic health records and other health information technology solutions. Retrieved from https://www.nursingworld.org/practice-policy/nursing-excellence/official-position-statements/id/Inclusion-of-Recognized-Terminologies-Supporting-Nursing-Practice-within-Electronic-Health-Records/
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
Macieria, T. G. R., Smith, M. B., Davis, N., Yao, Y., Wilkie, D. J., Lopez, K. D., & Keenan, G. (2017). Evidence of progress in making nursing practice visible using standardized nursing data: A systematic review. AMIA Annual Symposium Proceedings, 2017, 1205–1214. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5977718/
Office of the National Coordinator for Health Information Technology. (2017). Standard nursing terminologies: A landscape analysis. Retrieved from https://www.healthit.gov/sites/default/files/snt_final_05302017.pdf
Rutherford, M. A. (2008). Standardized nursing language: What does it mean for nursing practice? Online Journal of Issues in Nursing, 13(1), 1–12. doi:10.3912/OJIN.Vol13No01PPT05.

Note: You will access this article from the Walden Library databases.
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. doi:10.1016/j.techfore.2015.12.019.

Note: You will access this article from the Walden Library databases.
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
Public Health Informatics Institute. (2017). Public Health Informatics: “shipping” information for better health [Video file]. Retrieved from https://www.youtube.com/watch?v=q1gNQ9dm0zg.

Public Health Informatics Institute. (2017). Public Health Informatics: knowledge “architecture” [Video file]. Retrieved from https://www.youtube.com/watch?v=sofmUeQkMLU.

 

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Week 4 Assignment

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Module 3

 

Module 3: Data-Information-Knowledge-Wisdom (DIKW) (Week 5)

Laureate Education (Producer). (2018). Data-Information-Knowledge-Wisdom [Video file]. Baltimore, MD: Author.

Accessible player

Learning Objectives

Students will:

Analyze benefits, challenges, and risks of using big data in clinical systems
Recommend strategies to mitigate challenges and risks of using big data in clinical systems
Due By
Assignment
Week 5, Days 1–2
Read/Watch/Listen to the Learning Resources.
Compose your initial Discussion post.
Week 5, Day 3
Post your initial Discussion post.
Week 5, Days 4-5
Review peer Discussion posts.
Compose your peer Discussion responses.
Week 5, Day 6
Post at least two peer Discussion responses on two different days (and not the same day as the initial post).
Week 5, Day 7
Wrap up Discussion.

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)

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

Rubric Detail

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Content
Name: NURS_5051_Module02_Week03_Assignment_Rubric

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Excellent
Good
Fair
Poor
In a 4- to 5-page project proposal written to the leadership of your healthcare organization, propose a nursing informatics project for your organization that you advocate to improve patient outcomes or patient care efficiency. Your project proposal should include the following:

 

·   Describe the project you propose.

·   Identify the stakeholders impacted by this project.

·   Explain the patient outcome(s) or patient-care efficiencies this project is aimed at improving, and explain how this improvement would occur. Be specific and provide examples. Assignment: The Impact of Nursing Informatics on Patient Outcomes and Patient Care Efficiencies NURS 5051

·   Identify the technologies required to implement this project and explain why.

·   Identify the project team (by roles) and explain how you would incorporate the nurse informaticist in the project team.

Points Range: 77 (77%) – 85 (85%)
The response accurately and thoroughly describes in detail the project proposed.

The response accurately and clearly identifies the stakeholders impacted by the project proposed.

The response accurately and thoroughly explains in detail the patient outcome(s) or patient-care efficiencies that the project proposed is aimed at improving, including an accurate and detailed explanation, with sufficient supporting evidence of how this improvement would occur.

The response accurately and clearly identifies the technologies required to implement the project proposed with a detailed explanation why.

The response accurately and clearly identifies the project team (by roles) and thoroughly explains in detail how to incorporate the nurse informaticist in the project team.

Includes: 3 or more peer-reviewed sources and 2 or more course resources.

Points Range: 68 (68%) – 76 (76%)
The response describes the project proposed.

The response identifies the stakeholders impacted by the project proposed.

The response explains the patient outcome(s) or patient-care efficiencies that the project proposed is aimed at improving, including an explanation, with some supporting evidence of how this improvement would occur.

The response identifies the technologies required to implement the project proposed with an explanation why.

The response identifies the project team (by roles) and explains how to incorporate the nurse informaticist in the project team.

Includes: 2 peer-reviewed sources and 2 course resources.

Points Range: 60 (60%) – 67 (67%)
The response describing the project proposed is vague or inaccurate.

The response identifying the stakeholders impacted by the project proposed is vague or inaccurate.

The response explaining the patient outcome(s) or patient-care efficiencies the project proposed is aimed at improving, including an explanation of how this improvement would occur, is vague or inaccurate, or includes little to no supporting evidence.

The response identifying the technologies required to implement the project proposed with an explanation why is vague or inaccurate.

The response identifying the project team (by roles) and an explanation of how to incorporate the nurse informaticist in the project team is vague or inaccurate.

Includes: 1 peer-reviewed sources and 1 course resources.

Points Range: 0 (0%) – 59 (59%)
The response describing the project proposed is vague and inaccurate, or is missing.

The response identifying the stakeholders impacted by the project proposed is vague and inaccurate, or is missing.

The response explaining the patient outcome(s) or patient-care efficiencies the project proposed is aimed at improving, including an explanation of how this improvement would occur, is vague and inaccurate, includes no supporting evidence, or is missing.

The response identifying the technologies required to implement the project proposed with an explanation why is vague and inaccurate, or is missing.

The response identifying the project team (by roles) and an explanation of how to incorporate the nurse informaticist in the project team is vague and inaccurate, or is missing.

Includes: 1 or fewer resources.
Written Expression and Formatting – Paragraph Development and Organization:

Paragraphs make clear points that support well developed ideas, flow logically, and demonstrate continuity of ideas. Sentences are carefully focused–neither long and rambling nor short and lacking substance.

Points Range: 5 (5%) – 5 (5%)
Paragraphs and sentences follow writing standards for flow, continuity, and clarity.

Points Range: 4 (4%) – 4 (4%)
Paragraphs and sentences follow writing standards for flow, continuity, and clarity 80% of the time.

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Points Range: 3.5 (3.5%) – 3.5 (3.5%)
Paragraphs and sentences follow writing standards for flow, continuity, and clarity 60%- 79% of the time.

Points Range: 0 (0%) – 3 (3%)
Paragraphs and sentences follow writing standards for flow, continuity, and clarity < 60% of the time.
Written Expression and Formatting – English writing standards:

Correct grammar, mechanics, and proper punctuation

Points Range: 5 (5%) – 5 (5%)
Uses correct grammar, spelling, and punctuation with no errors.

Points Range: 4 (4%) – 4 (4%)
Contains a few (1-2) grammar, spelling, and punctuation errors.

Points Range: 3.5 (3.5%) – 3.5 (3.5%)
Contains several (3-4) grammar, spelling, and punctuation errors.

Points Range: 0 (0%) – 3 (3%)
Contains many (≥ 5) grammar, spelling, and punctuation errors that interfere with the reader’s understanding.
Written Expression and Formatting – The paper follows correct APA format for title page, headings, font, spacing, margins, indentations, page numbers, running head, parenthetical/in-text citations, and reference list.

Points Range: 5 (5%) – 5 (5%)
Uses correct APA format with no errors.

Points Range: 4 (4%) – 4 (4%)
Contains a few (1-2) APA format errors.

Points Range: 3.5 (3.5%) – 3.5 (3.5%)
Contains several (3-4) APA format errors.

Points Range: 0 (0%) – 3 (3%)
Contains many (≥ 5) APA format errors.
Total Points: 100
Name: NURS_5051_Module02_Week03_Assignment_Rubric

BIG DATA MEANS BIG POTENTIAL, CHALLENGES FOR NURSE EXECS
ANALYSIS | BY JENNIFER THEW RN | APRIL 19, 2016

TOPICS
Technology
Leadership
Business
Management
To ensure big data is used to influence outcomes that are meaningful to the nursing profession, nurse executives need to act as data visionaries and architects.
Have you ever found yourself poring over stacks of data, feeling more like a statistician than a nurse? If you have, welcome to the world of big data.

“You have all of these different data sources coming at you on a weekly, monthly, quarterly basis. The CFO has a stack of data for you, your productivity-management engineer people have a stack of data for you, HR has a stack of data for you, and then your quality director, your clinical folks, have a stack of data for you,” says Jane Englebright, RN, PhD, CEBP, FAAN, chief nursing executive and senior vice president at Nashville, Tennessee-based HCA.

“And your job is to sort through all that data and synthesize it in some way and come up with brilliant conclusions about how to run the organization.” Assignment: The Impact of Nursing Informatics on Patient Outcomes and Patient Care Efficiencies NURS 5051

Big data “typically refers to a large complex data set that yields substantially more information when analyzed as a fully integrated data set as compared to the outputs achieved with smaller sets of the same data that are not integrated,” according to the Online Journal of Nursing Informatics.