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 knowledg
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?
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.
Resources
Be sure to review the Learning Resources before completing this activity. Click the weekly resources link to access the resources.
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.
*Note: Throughout this program, your fellow students are referred to as colleagues.
RESOURCES
· McGonigle, D., & Mastrian, K. G. (2022). Nursing informatics and the foundation of knowledge (5th ed.). Jones & Bartlett Learning.
· Chapter 1, “Nursing Science and the Foundation of Knowledge” (pp. 7–17)
· Chapter 2, “Introduction to Information, Information Science, and Information Systems” (pp. 21–32)
· Chapter 3, “Computer Science and the Foundation of Knowledge Model” (pp. 35–64)
· Nagle, L., Sermeus, W., & Junger, A. (2017). Evolving Role of the Nursing Informatics SpecialistLinks to an external site.. 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 informaticsLinks to an external site.. Online Journal of Nursing Informatics, 21 (1).
· Walden University, LLC. (Producer). (2018). Health Informatics and Population Health: Trends in Population Health [Video file]. Baltimore, MD: Author.
· Public Health Informatics Institute. (2017). Public Health Informatics: "translating" knowledge for health Links to an external site. [Video file]. Retrieved from https://www.youtube.com/watch?v=fLUygA8Hpfo
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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
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Due By |
Assignment |
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Week 3, Days 1–2 |
Read/Watch/Listen to the Learning Resources. Compose your initial Discussion post. |
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Week 3, Day 3 |
Post your initial Discussion post. Begin to compose your Assignment. |
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Week 3, Days 4-5 |
Review peer Discussion posts. Compose your peer Discussion responses. Continue to compose your Assignment. |
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Week 3, Day 6 |
Post at least two peer Discussion responses on two different days (and not the same day as the initial post). |
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Week 3, Day 7 |
Wrap up Discussion. Deadline to submit your Assignment. |
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Week 4, Days 1-6 |
Continue to compose your Assignment |
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Week 4, Day 7 |
Deadline to submit your Assignment |
Please provide responses to colleagues below:
May 28 7:15pm
Manage Discussion by Magela Mena Ramirez
Reply from Magela Mena Ramirez
The Application of Data to Problem-Solving
Data is an essential element in nursing practice. It aids healthcare professionals in observing issues, discovering data sequences and making correct decisions. For example, by using data, nurse leaders can spot risks, implement steps to prevent falls and measure their impact over some time. According to Hughes (2023), data, including vital signs and lab results, is already used by nurses for patient care. However, by using larger sets of data, leaders can influence practices and enhance patient results.
The focus of my scenario is on modifying the environment in long-term care to lower patient fall risks. Slips and falls occur a lot in our organization especially with seniors and risks caused by dark areas, crowded areas, or wet and slippery floors play a significant role. Here, data might refer to the number of falls shared, areas and hours they took place, the medical conditions of patients and the kinds of risks found in the environment. This information can be gathered by completing incident reports, safety audits, patient assessments and facility reviews.
According to Miura and Kanoya (2025), strategies like brightening environments and using safety gear can help reduce the risk of falling. So, tracking falls before and after adjustments (such as getting brighter lights or getting rid of trip points) can reveal the success of these changes.
With this kind of data, nurse leaders understand what environmental circumstances most often bring about falls and what can be done to make those situations better. They may also assess how practical and costly each safety solution is. By using clinical reasoning, nurse leaders assess information, pay attention to patient needs and decide on actions to decrease risks. As per Takase et al. (2024), nurses use both tools and personal judgment to assess fall risks, primarily based on experience and context. By using their judgment, nurse leaders develop safety plans that are suited to their hospital and its patients. In conclusion, data helps nurses turn information into action by improving patient safety.
References
Hughes, R. (2023). Recognizing the value of data. Nursing Management, 54(3), 56. https://journals.lww.com/nursingmanagement/fulltext/2023/03000/recognizing_the_value_of_data.9.aspxLinks to an external site.
Miura, T., & Kanoya, Y. (2025). Fall risk assessment and Prevention Strategies in nursing Homes: A Narrative review. Healthcare, 13(4), 357. https://doi.org/10.3390/healthcare13040357Links to an external site.
Takase, M., Kisanuki, N., Nakayoshi, Y., Uemura, C., Sato, Y., & Yamamoto, M. (2024). Exploring nurses’ clinical judgment concerning the relative importance of fall risk factors: A mixed method approach using the Q Methodology. International Journal of Nursing Studies, 153, 104720. https://doi.org/10.1016/j.ijnurstu.2024.104720Links to an external site.
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May 27 9:33pm
Manage Discussion by Cedric Lewis
Reply from Cedric Lewis
Using Data and Informatics in Periwound Management and Wound Vac Application
Informatics plays a critical role in optimizing patient outcomes, particularly in wound care, where product selection, skin integrity, and moisture management significantly impact healing. Based on my clinical experience, one persistent issue in negative pressure wound therapy (NPWT), or wound vac application, is achieving an effective seal when the periwound area is compromised by moisture or skin breakdown. Despite using traditional methods such as thorough cleaning, drying and application of sticky skin protectants, leaks often persisted. Through observation and informal data collection, I began trialing silver alginates and Mesalt dressings to manage periwound moisture. Over time, I noted an improvement in drape adherence and reduction in vac alarms or dressing changes related to seal failure. In addition to improving drape seal, I observed that periwounds treated with silver alginates or Mesalt progressed more rapidly toward healing, likely due to better moisture balance and antimicrobial support. Studies have shown that silver alginates promote healing by reducing bacterial load, while Mesalt’s hypertonic saline properties effectively manage excess exudate and support granulation tissue formation (Timmons, 2014; Cutting & White, 2015).
This scenario represents a gap in standardized data collection on periwound management protocols. Collecting data on periwound condition, type of dressing used (e.g., silver alginate vs. hydrocolloid vs. skin prep), patient comorbidities, and wound vac success metrics (seal longevity, dressing changes, alarm frequency) could lead to evidence-based practice guidelines. Structured documentation within an electronic health record (EHR) could allow aggregation of these data points to analyze patterns and effectiveness of different interventions.
From the perspective of the Foundation of Knowledge Model, this process begins with knowledge acquisition (observing which interventions improve outcomes), knowledge processing (comparing interventions over time), knowledge generation (noticing trends in effectiveness), and knowledge dissemination (sharing findings with the wound care team or quality improvement committees) (McGonigle & Mastrian, 2022). Nurse leaders could apply clinical reasoning by interpreting this data in the context of broader evidence, patient safety, and product cost-effectiveness. Their role would also include ensuring proper documentation workflows to support real-time data retrieval and quality analysis.
Additionally, this aligns with the evolving role of the nurse informatics specialist, who bridges clinical practice with data science to enhance care delivery (Nagle et al., 2017). By integrating periwound management data into wound care protocols and EHR templates, nurse informatics specialists can help institutionalize best practices across units or facilities.
In conclusion, data-driven decisions in wound care are vital, particularly in improving wound vac outcomes through enhanced periwound care. Establishing formal mechanisms for data capture and analysis can lead to sustained improvements in wound management strategies and patient outcomes.
References
Cutting, K. F., & White, R. J. (2015). Maceration of the skin and wound bed 1: Its nature and causes. Journal of Wound Care, 14(7), 275–278. https://doi.org/10.12968/jowc.2005.14.7.26708
McGonigle, D., & Mastrian, K. G. (2022). Nursing informatics and the foundation of knowledge (5th ed.). Jones & Bartlett Learning.
• Chapter 1: Nursing Science and the Foundation of Knowledge (pp. 7–17)
• Chapter 2: Introduction to Information, Information Science, and Information Systems (pp. 21–32)
• Chapter 3: Computer Science and the Foundation of Knowledge Model (pp. 35–64)
Nagle, L., Sermeus, W., & Junger, A. (2017). Evolving role of the nursing informatics specialist. In J. Murphy, W. Goosen, & P. Weber (Eds.), Forecasting competencies for nurses in the future of connected health (pp. 212–221). IMIA and IOS Press. https://serval.unil.ch/resource/serval:BIB_4A0FEA56B8CB.P001/REF
Sweeney, J. (2017). Healthcare informatics. Online Journal of Nursing Informatics, 21(1). https://www.himss.org/resources/healthcare-informatics
Timmons, J. (2014). Silver in wound healing: What is optimal? British Journal of Nursing, 23(Sup20), S6–S11. https://doi.org/10.12968/bjon.2014.23.Sup20.S6
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