due discussion

· Review the Learning Resources for this week, focusing specifically on the implementation science articles and web resources.

· Consider the issues related to research and Big Data.

· Review Lewin’s Change Theory, systems thinking, and implementation science resources provided in the media this week.

· Consider the importance of these theories and frameworks to your healthcare organization or nursing practice.

· Explore two additional theories or models related to change, systems, or implementation science to focus on for this discussion.

Instructions:

Analyze informatics frameworks and models that are applicable to healthcare organizations and nursing practice. What are the key principles and best practices that you can leverage from these frameworks to support your practice?

Read a selection of your classmates’ responses and respond to at least two of your classmates on two different days. Expand upon your classmate’s posting or offer an alternative perspective.

Note: Your responses to classmates should be substantial (250 words minimum), supported with scholarly evidence from your research and/or the Learning Resources, and properly cited using APA Style. Personal anecdotes are acceptable as part of a meaningful response, but cannot stand alone as a response. Your responses should enrich the initial post by supporting and/or offering a fresh viewpoint, and be constructive, thereby enhancing the learning experience for all students.

* Additionally, you must respond to your professor if they ask a question or comment on your post.

Return to this Discussion in a few days to read the responses to your initial posting. Note what you have learned and/or any insights that you have gained because of your classmates’ comments.

REQUIRED RESOURCES:

· American Nurses Association. (2022).  Nursing informatics: Scope and standards of practice Links to an external site.  (3rd ed.).

· “Standard 1: Assessment” (pp. 80–81)

· “Standard 2: Diagnosis, Problems, and Issues Identification” (pp. 81–82)

· “Standard 3: Outcomes Identification” (pp. 82–83)

· “Standard 4: Planning” (pp. 84–85)

· Cato, K. D. (2020).  Transforming clinical data into wisdom: Artificial intelligence implications for nurse leadersLinks to an external site. .  Nursing Management,  51(11), 24–30. https://doi.org/10.1097/01.NUMA.0000719396.83518.d6

· Lavallee, Lori. (2023).  The Importance of a communication plan in project management Links to an external site. . Southern New Hampshire University. https://www.snhu.edu/about-us/newsroom/business/communication-plan-in-project-management

· Sipes, C. (2024).  Table 4.5. Sample: Risk analysis document and plan Download Table 4.5. Sample: Risk analysis document and plan [Table]. In  Project Management for the Advanced Practice Nurse, (3rd ed., p. 114). Springer Publishing Company. 

· Credit Line: Project Management for the Advanced Practice Nurse, 3rd Edition by Sipes, C. Copyright 2024 by Springer Publishing Company. Reprinted by permission of PUBLISHER via the Copyright Clearance Center. Licensed in 2025.

· Stanford University. (2017).  RACI Template Links to an external site. https://view.officeapps.live.com/op/view.aspx?src=https%3A%2F%2Fuit.stanford.edu%2Fsites%2Fdefault%2Ffiles%2F2017%2F08%2F30%2FExample%2520RACI%2520Diagram.xls&wdOrigin=BROWSELINK

· Analytics Guy. (2020, August 25).  Developing understanding using the DIKW pyramidLinks to an external site.  [Video]. YouTube. https://www.youtube.com/watch?v=u9DoQ9gY4z4

· Massachusetts DESE. (2020, February 25).  Introduction to implementation scienceLinks to an external site.  [Video]. YouTube. https://www.youtube.com/watch?v=eJoNkAavMEY

· Project Manager. (2018, July 2).  Risk Analysis How to Analyze Risks on Your Project - Project Management TrainingLinks to an external site. . [Video]. YouTube.https://www.youtube.com/watch?v=r5ZrPeQW8HQ

POST 1:

The integration of implementation science, systems thinking, and change theory has become increasingly important as healthcare organizations navigate the complexities of Big Data, artificial intelligence, and digital transformation (Kuziemsky et al., 2026). The rapid expansion of clinical data and the growing use of AI tools require nurse leaders to apply structured frameworks that support evidencebased decisionmaking and sustainable practice change (Kuziemsky et al., 2026). Lewin’s Change Theory remains foundational in this context, as its stages of unfreezing, moving, and refreezing provide a clear pathway for preparing clinicians for change, implementing new processes, and ensuring longterm adoption (Endrejat et al., 2017). When combined with systems thinking, Lewin’s model helps nurse leaders understand how technological changes influence interconnected components of the healthcare system, including workflows, communication patterns, and patient outcomes (Harrison et al., 2021). Systems thinking encourages a holistic perspective, allowing organizations to anticipate unintended consequences and design interventions that align with broader organizational goals (Harrison et al., 2021).

Informatics frameworks and models provide essential structure for guiding evidencebased decisionmaking, technology adoption, and workflow redesign in healthcare organizations (Aven, 2013). One of the most widely applied frameworks is the DataInformationKnowledgeWisdom (DIKW) model, which supports the transformation of raw clinical data into meaningful insights that inform clinical judgment and leadership decisions (Aven, 2013). As Cato (2020) explains, artificial intelligence accelerates this progression by helping nurse leaders convert large datasets into actionable wisdom that improves patient outcomes and operational efficiency. The DIKW model aligns closely with the American Nurses Association’s Nursing Informatics: Scope and Standards of Practice (2022), particularly Standard 1: Assessment, which emphasizes systematic data collection, and Standard 3: Outcomes Identification, which requires nurses to translate information into measurable goals.

The Consolidated Framework for Implementation Research (CFIR) further strengthens informatics practice by offering a comprehensive structure for evaluating contextual factors that influence implementation success (Domlyn et al., 2026). CFIR’s domains, such as inner setting, outer setting, characteristics of individuals, and intervention attributes, help nurse leaders anticipate barriers and facilitators when introducing new digital tools or clinical processes (Domlyn et al., 2026). These frameworks complement the ANA’s Standard 2: Diagnosis, Problems, and Issues Identification, which requires nurses to analyze data and identify informaticsrelated challenges, and Standard 4: Planning, which emphasizes the development of structured, evidencebased implementation strategies. Effective planning also requires strong communication, and Lavallee (2023) highlights the importance of a clear communication plan in project management to ensure stakeholder alignment, transparency, and engagement throughout the implementation process. Tools such as RACI matrices and risk analysis documents, including those described by Sipes (2024), support this planning by clarifying roles, responsibilities, and potential threats to project success.

Across these frameworks, several key principles and best practices emerge that can be leveraged to support nursing practice (McClam et al., 2025). First, comprehensive assessment and contextual analysis are essential for understanding organizational readiness and user needs (McClam et al., 2025). Second, successful implementation requires aligning technology with human behavior, workflow realities, and systemlevel interactions; principles emphasized in both sociotechnical theory and CFIR. Third, structured planning, including communication strategies and risk mitigation, enhances project success and sustainability (McClam et al., 2025). Finally, the DIKW model and AIenhanced analytics enable nurse leaders to transform Big Data into meaningful knowledge that supports clinical decisionmaking and quality improvement (Aven, 2013). Together, these frameworks provide a robust foundation for advancing informatics practice, improving patient outcomes, and strengthening organizational performance.

References

American Nurses Association. (2022). Nursing informatics: Scope and standards of practice (3rd ed.).

Aven, T. (2013). A conceptual framework for linking risk and the elements of the data–information–knowledge–wisdom (DIKW) hierarchy. Reliability Engineering and System Safety, 111, 30–36.  https://doi.org/10.1016/j.ress.2012.09.014 Links to an external site.

Cato, K. D. (2020). Transforming clinical data into wisdom: Artificial intelligence implications for nurse leaders. Nursing Management, 51(11), 24–30.  https://doi.org/10.1097/01.NUMA.0000719396.83518.d6 Links to an external site.

Domlyn, A. M., Dodge, J., Pfeiffer, P. N., Robinson, C. H., Evans, L., Damschroder, L. J., Stewart, M. A., Garlick, B., Sussman, J. B., & Nevedal, A. L. (2026). Evaluating the utility of an abbreviated Consolidated Framework for Implementation Research (CFIR) for rapid qualitative analysis: a suicide prevention program case study. Implementation Science Communications.  https://doi.org/10.1186/s43058-026-00956-5 Links to an external site.

Endrejat, P. C., Baumgarten, F., & Kauffeld, S. (2017). When Theory Meets Practice: Combining Lewin’s Ideas about Change with Motivational Interviewing to Increase Energy-Saving Behaviours Within Organizations. Journal of Change Management, 17(2), 101–120.  https://doi.org/10.1080/14697017.2017.1299372 Links to an external site.

Harrison, R., Fischer, S., Walpola, R. L., Chauhan, A., Babalola, T., Mears, S., & Le-Dao, H. (2021). Where Do Models for Change Management, Improvement and Implementation Meet? A Systematic Review of the Applications of Change Management Models in Healthcare. Journal of healthcare leadership, 13, 85–108.  https://doi.org/10.2147/JHL.S289176 Links to an external site.

Kuziemsky, C. E., Ozkaynak, M., Unertl, K. M., & Haque, S. (2026). Integrating systems thinking and implementation science in biomedical informatics research. JAMIA Open, 9(2), ooag023.  https://doi.org/10.1093/jamiaopen/ooag023 Links to an external site.

Lavallee, L. (2023). The importance of a communication plan in project management. Southern New Hampshire University.  https://www.snhu.edu/about-us/newsroom/business/communication-plan-in-project-management Links to an external site.

McClam, M., Workman, L., Walker, T. J., Dias, E. M., Craig, D. W., Padilla, J. R., Fernandez, M. E., Lamont, A. E., & Wandersman, A. (2025). Organizational readiness for implementation: a qualitative assessment to explain survey responses.  BMC Health Services Research,  25(1).  https://doi.org/10.1186/s12913-024-12149-8 Links to an external site.

Sipes, C. (2024). Table 4.5. Sample: Risk analysis document and plan [Table]. In Project management for the advanced practice nurse (3rd ed., p. 114). Springer Publishing Company. (Licensed 2025)

Stanford University. (2017).  RACI Template. Links to an external site. https://view.officeapps.live.com/op/view.aspx?src=https%3A%2F%2Fuit.stanford.edu%2Fsites%2Fdefault%2Ffiles%2F2017%2F08%2F30%2FExample%2520RACI%2520Diagram.xls&wdOrigin=BROWSELINK

POST 2:

Big Data, Change Theories, Systems Thinking, and Implementation Science

Big Data's rapid growth in the healthcare industry has changed the way nurses and organizations gather, analyze, and use information to enhance patient care. Never before have we had such vast amounts of data available, but the challenge lies in transforming raw data into meaningful insights that can guide practice. Cato (2020) notes that artificial intelligence (AI) and analytics can turn data into wisdom, and nurse leaders need to take the time to understand how this can be achieved. They do have to be careful, however, of the ethical questions that arise, data quality, and the potential to overload employees with uncontextualized information. One area where I gained insight into the use of data in electronic health records (EHRs) in behavioral health is how they enhance tracking of patient progress and adherence to evidence-based treatments. However, there were inconsistencies in how data was documented and in staff not being trained in analytics. Despite the evidence, these barriers stem from broader implementation science concerns; involving multiple disciplines, interdisciplinary efforts, and leadership support structures are needed to implement evidence-based practices (Massachusetts DESE, 2020).

In this regard, Kurt Lewin's change theory helps understand how Big Data can be used in practice. The unfreeze phase prepares for awareness of document and data inefficiencies. The changing stage then focuses on building nurses' capacity to access analytics tools, and the sustaining stage focuses on building institutional capacity to integrate data-driven practices into policy and institutional practices. Such a structured approach minimizes obstacles to implementing new technology, such as resistance to change. It is just as important as adopting a systems-thinking approach. Healthcare organizations are complex entities, and changes in one aspect will affect the others. For instance, in behavioral health, better access to data can improve patient tracking but also affect staffing requirements, workflows, and interprofessional communication. Systems thinking is emphasized in Sustainability Science Education (2019) as a way for leaders to consider data integration within a larger system, enabling coordinated, aligned interventions. Two other frameworks augment this consideration of Lewin and systems thinking. Firstly, Kotter's 8-Step Change Model focuses on generating short-term wins, building coalitions, and creating urgency. Kotter's model could be used to help leaders highlight early wins through data-driven decision-making to foster momentum and dispel skepticism among decision-makers in the context of Big Data.

Second, the importance of the interplay between evidence, context and facilitation in the PARIHS framework (Promoting Action on Research Implementation in Health Services) is emphasized. In behavioral health, it includes providing staff with evidence-based data and the context for working in an environment conducive to translating evidence into practice, with the support of facilitators. However, as with all other aspects of the business, implementation science reminds us that while technology will play a role, it will not be enough to ensure the success of Big Data implementation in the business. Communication, planning, risk analysis, etc., will play significant roles. Communication plans must be considered in aeroplane projects, as noted by Lavallee (2023). Also, risk analysis plans anticipate hazards such as staff resistance or concerns about data privacy, as noted by Sipes (2024). The American Nurses Association (2022) also states that informatics competence in assessment, diagnosis, outcomes identification, and planning is important for nurses to be informed about data.

Applying structured change theories, systems thinking, and implementation science frameworks is essential to harness the potential of Big Data to advance nursing practice. Change models, such as Kotter's 8-step model, can assist nurse leaders in integrating data with wisdom to remove barriers and close practice gaps. For behavioral health and beyond, the challenge is not data availability but the ability to translate it into sustainable, evidence-based improvements in patient care.

References

American Nurses Association. (2022). Nursing informatics: Scope and standards of practice (3rd ed.). ANA.

Cato, K. D. (2020). Transforming clinical data into wisdom: Artificial intelligence implications for nurse leaders. Nursing Management, 51(11), 24–30.  https://doi.org/10.1097/01.NUMA.0000719396.83518.d6 Links to an external site.

Lavallee, L. (2023). The importance of a communication plan in project management. Southern New Hampshire University.  https://www.snhu.edu/about-us/newsroom/business/communication-plan-in-project-management Links to an external site.

Massachusetts DESE. (2020, February 25). Introduction to implementation science [Video]. YouTube.  https://www.youtube.com/watch?v=eJoNkAavMEY Links to an external site.

Sipes, C. (2024). Project management for the advanced practice nurse (3rd ed.). Springer Publishing Company.

Sustainability Science Education. (2019, August 23). What is systems thinking [Video]. YouTube.  https://www.youtube.com/watch?v=FW6MXqzeg7M Links to an external site.

RUBRIC:

NURS_8210_Week4_Discussion_Rubric

NURS_8210_Week4_Discussion_Rubric
Criteria	Ratings	Pts
This criterion is linked to a Learning OutcomeRESPONSIVENESS TO DISCUSSION QUESTION (20 possible points): Discussion posts minimum requirements: The original posting must be completed by Day 3 at 11:59pm ET. Two response postings to two different peer original posts, on two different days, are required by Day 6 at 11:59pm ET. Faculty member inquiries require responses, which are not included in the peer posts. Your Discussion Board postings should be written in Standard Academic English and follow APA 7 style for format and grammar as closely as possible given the constraints of the online platform. Be sure to support the postings with specific citations from this week's learning resources as well as resources available through the Walden University library and other credible online resources (guidelines, expert opinions etc.)	20 to >19.0 ptsExcellent• Discussion postings and responses are responsive to and exceed the requirements of the Discussion instructions. • The student responds to the question/s being asked or the prompt/s provided. Goes beyond what is required in some meaningful way (e.g., the post contributes a new dimension, unearths something unanticipated) • Demonstrates that the student has read, viewed, and considered a variety of learning resources, as well as resources available through the Walden University library and other credible online resources (guidelines, expert opinions etc.) • Detailed response to faculty. 19 to >15.0 ptsGood• Discussion postings and responses are responsive to and meet the requirements of the Discussion instructions. • The student responds to the question/s being asked or the prompt/s provided. • Demonstrates that the student has read, viewed, and considered a variety of learning resources, as well as resources available through the Walden University library and other credible online resources (guidelines, expert opinions etc.) • Appropriate reply to faculty. 15 to >12.0 ptsFair• Discussion postings and responses are somewhat responsive to the requirements of the Discussion instructions. • The student may not clearly address the objectives of the discussion or the question/s or prompt/s. • Minimally demonstrates that the student has read, viewed, and considered a variety of learning resources, as well as resources available through the Walden University library and other credible online resources (guidelines, expert opinions etc.) • Brief response to faculty with minimal effort. 12 to >0 ptsPoor• Discussion postings and responses are unresponsive to the requirements of the Discussion instructions. • Does not clearly address the objectives of the discussion or the question/s or prompt/s. • Does not demonstrate that the student has read, viewed, and considered a variety of learning resources, as well as resources available through the Walden University library and other credible online resources (guidelines, expert opinions etc.) • Fails to respond to faculty inquiries.	20 pts
This criterion is linked to a Learning OutcomeCONTENT REFLECTION and MASTERY: Initial Post (30 possible points)	30 to >29.0 ptsExcellentInitial Discussion posting: • Post demonstrates mastery and thoughtful/accurate application of content and/or strategies presented in the course. • Posts are substantive and reflective, with critical analysis and synthesis representative of knowledge gained from the course readings and current credible evidence. • Initial post is supported by 3 or more relevant examples and research/evidence from a variety of scholarly sources including course and outside readings. 29 to >23.0 ptsGoodInitial Discussion posting: • Posts demonstrate some mastery and application of content, applicable skills, or strategies presented in the course. • Posts are substantive and reflective, with analysis and synthesis representative of knowledge gained from the course readings and current credible evidence. • Initial post is supported by 3 or more relevant examples and research/evidence from a variety of scholarly sources including course and outside readings. 23 to >18.0 ptsFairInitial Discussion posting: • Post may lack in depth, reflection, analysis, or synthesis but rely more on anecdotal than scholarly evidence. • Posts demonstrate minimal understanding of concepts and issues presented in the course, and, although generally accurate, display some omissions and/or errors. • There is a lack of support from relevant scholarly research/evidence. 18 to >0 ptsPoorInitial Discussion posting: • Post lacks in substance, reflection, analysis, or synthesis. • Posts do not generalize, extend thinking or evaluate concepts and issues within the topic or context of the discussion. • Relevant examples and scholarly resources are not provided.	30 pts
This criterion is linked to a Learning OutcomeCONTRIBUTION TO THE DISCUSSION: First Response (20 possible points)	20 to >19.0 ptsExcellentDiscussion response: • Significantly contributes to the quality of the discussion/interaction and thinking and learning. • Provides rich and relevant examples and thought-provoking ideas that demonstrates new perspectives, and synthesis of ideas supported by the literature. • Scholarly sources are correctly cited and formatted. • First response is supported by 2 or more relevant examples and research/evidence from a variety of scholarly sources including course and outside readings. • Posts on separate day. 19 to >15.0 ptsGoodDiscussion response: • Contributes to the quality of the interaction/discussion and learning. • Provides relevant examples and/or thought-provoking ideas • Scholarly sources are correctly cited and formatted. • First response is supported by 2 or more relevant examples and research/evidence from a variety of scholarly sources including course and outside readings. • Posts on separate day. 15 to >12.0 ptsFairDiscussion response: • Minimally contributes to the quality of the interaction/discussion and learning. • Provides few examples to support thoughts. • Information provided lacks evidence of critical thinking or synthesis of ideas. • There is a lack of support from relevant scholarly research/evidence. • Posts on separate day. 12 to >0 ptsPoorDiscussion response: • Does not contribute to the quality of the interaction/discussion and learning. • Lacks relevant examples or ideas. • There is a lack of support from relevant scholarly research/evidence. • Posts on same day.	20 pts
This criterion is linked to a Learning OutcomeCONTRIBUTION TO THE DISCUSSION: Second Response (20 possible points)	20 to >19.0 ptsExcellentDiscussion response: • Significantly contributes to the quality of the discussion/interaction and thinking and learning. • Provides relevant examples and thought-provoking ideas that demonstrates new perspectives, and extensive synthesis of ideas supported by the literature. • Second response is supported by 2 or more relevant examples and research/evidence from a variety of scholarly sources including course and outside readings. • Scholarly sources are correctly cited and formatted. • Posts on separate day. 19 to >15.0 ptsGoodDiscussion response: • Contributes to the quality of the interaction/discussion and learning. • Provides relevant examples and/or thought-provoking ideas • Second response is supported by 2 or more relevant examples and research/evidence from a variety of scholarly sources including course and outside readings. • Scholarly sources are correctly cited and formatted. • Posts on separate day. 15 to >12.0 ptsFairDiscussion response: • Minimally contributes to the quality of the interaction/discussion and learning. • Provides few examples to support thoughts. • Information provided lacks evidence of critical thinking or synthesis of ideas. • Minimal scholarly sources provided to support post. • Posts on separate day. 12 to >0 ptsPoorDiscussion response: • Does not contribute to the quality of the interaction/discussion and learning. • Lacks relevant examples or ideas. • No sources provided. • Posts on same day.	20 pts
This criterion is linked to a Learning OutcomeQUALITY OF WRITING (10 possible points)	10 to >9.0 ptsExcellentDiscussion postings and responses exceed doctoral level writing expectations: • Use Standard Academic English that is clear, concise, and appropriate to doctoral level writing. • Make few if any errors in spelling, grammar, that does not affect clear communication. • Uses correct APA 7 format as closely as possible given the constraints of the online platform. • Are positive, courteous, and respectful when offering suggestions, constructive feedback, or opposing viewpoints. 9 to >8.0 ptsGoodDiscussion postings and responses meet doctoral level writing expectations: • Use Standard Academic English that is clear and appropriate to doctoral level writing • Makes a few errors in spelling, grammar, that does not affect clear communication. • Uses correct APA 7 format as closely as possible given the constraints of the online platform. • Are courteous and respectful when offering suggestions, constructive feedback, or opposing viewpoints. 8 to >6.0 ptsFairDiscussion postings and responses are somewhat below doctoral level writing expectations: • Posts contains multiple spelling, grammar, and/or punctuation deviations from Standard Academic English that affect clear communication. • Numerous errors in APA 7 format • May be less than courteous and respectful when offering suggestions, feedback, or opposing viewpoints. 6 to >0 ptsPoorDiscussion postings and responses are well below doctoral level writing expectations: • Posts contains multiple spelling, grammar, and/or punctuation deviations from Standard Academic English that affect clear communication. • Uses incorrect APA 7 format • Are discourteous and disrespectful when offering suggestions, feedback, or opposing viewpoints.	10 pts

Total Points: 100