Abstract Proposal for a Conference Poster Presentation

InstructionsResourcesActivityAttempt 1availableAttempt 2Attempt 3

InstructionsResourcesActivityAttempt 1 availableAttempt 2Attempt 3

Write a 250-word abstract proposal for a conference poster presentation. Then, create a one-slide poster for the presentation.

Collapse All

Introduction

In today’s interconnected world, it is important for care coordinators to plan interventions for care coordination using multiple health care delivery resources. As leaders, care coordinators must know how to engage and develop inter-professional stakeholders and health care providers in order to develop best practice strategies for care coordination.

Preparation

For this assessment, you will prepare both an abstract proposal for a poster presentation and a poster presentation for a specialty organization’s conference (for example, Sigma Theta Tau International [STTI], American Organization for Nursing Leadership [AONL], American Nurses Association [ANA], or the National League for Nurses [NLN]). Your topic explores a specific situation using an informatics model, tools, and application of data in practice to assess, monitor, and produce quality outcomes. Think about the clear use of database terminology, data management, and data trending, and how to communicate clearly with your stakeholders and conference attendees.

Requirements

For this assessment:

• Analyze the use of an informatics model, tools, and use of data to produce quality outcomes.
  • Identify the organization at whose conference you would be presenting and locate a copy of their guidelines for conference presentations.
  • Identify a topic for your presentation that analyzes the use of data management and data trending to assess, monitor, and produce quality outcomes.
• Assess the use of data terminology, data management, and data trending to show enhanced health care delivery outcomes.
  • Create an abstract for your poster presentation that includes:
    • An introduction.
    • A literature review highlighting the important concepts in the literature that support your idea.
    • An analysis of the intervention/model for change.
    • Conclusions drawn about data use and the health care delivery outcomes.
  • Synthesize information for clear communication with stakeholders and conference attendees.
    • Create a professional poster presentation, geared to your audience, that provides a visual representation of the information in the abstract.
    • Limit your poster to a one-slide presentation.

Additional Requirements

• Part 1: Abstract:
  • Length of abstract: 250 words.
  • Font and font size: Times New Roman, 12 point.
  • Reference:Five scholarly sources that support the written abstract. Additional references may be used.
  • Written communication:Written communication is free of errors that detract from the overall message.
  • APA formatting: Resources and citations are formatted according to current APA style and formatting.
• Part 2: Poster Presentation:
  • Visual Properties: Make use of graphs, charts, models, et cetera that visually demonstrate the content of your presentation as described by the abstract.
  • Length of presentation: One slide.

Competencies Measured

By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies and assessment criteria:

• Competency 1: Apply data management techniques to decision making in nursing practice.
  • Analyze the use of an informatics model, tools, and use of data to produce quality outcomes.
• Competency 2: Create various data representation methods for reporting and professional communications.
  • Create a professional poster that includes an introduction, literature review, model for change, data conclusions, and references.
• Competency 3: Articulate strategies for querying and generating reports from health information system databases.
  • Assess the use of data terminology, data management, and data trending to show enhanced health care delivery outcomes.
• Competency 4: Communicate technical standards as they relate to various informatics technologies.
  • Synthesize the use of information for clear communication with stakeholders and conference attendees.
• Competency 5: Communicate as a practitioner-scholar, consistent with the expectations of a nursing professional.
  • Write clearly and logically with correct use of spelling, grammar, punctuation, and mechanics, and correctly formats citations using current APA style.

Use the resources linked below to help complete this assessment.

Collapse All

Models, Tools, and Data Exploration

The set of readings focus on the collection and use of data to monitor and produce quality outcomes.

• McGonigle, D., & Mastrian, K. (2022). Nursing informatics and the foundation of knowledge (5th ed.). Jones & Bartlett. Available in the courseroom via the VitalSource Bookshelf link.
  • Chapter 21, “Nursing Research: Data Collection, Processing, and Analysis.”
• Safdari, R., Rezayi, S., Saeedi, S., Tanhapour, M., & Gholamzadeh, M. (2021). Using data mining techniques to fight and control epidemics: A scoping review.Health Technol. 11, 759–771.
• Ristevski, B., & Chen, M. (2018). Big data analytics in medicine and healthcare. Journal of Integrative Bioinformatics, 15(3), 1–5.

Scope and Standards of Practice

• American Nurses Association. (2015). Nursing informatics:Scope and standards of practice (2nd ed.). Author.

Producing Applications in Practice With Tools

• McGonigle, D., & Mastrian, K. (2022). Nursing informatics and the foundation of knowledge (5th ed.). Jones & Bartlett. Available in the courseroom via the VitalSource Bookshelf link.
  • Chapter 22, “Data Mining as a Research Tool.”
• Bahri, S., Zoghlami, N., Abed, M., & Tavares, J. M. (2018, December 21). Big data for healthcare: A survey. IEEE Access, 7, 7397–7408.
• Dautov, R., Distefano, S., & Buyya, R. (2019). Hierarchical data fusion for smart healthcare. Journal of Big Data, 6(1), 1–23.
• Sharma, M., Singh, G., & Singh, R. (2018). An advanced conceptual diagnostic healthcare framework for diabetes and cardiovascular disorders. EAI Endorsed Transactions on Scalable Information Systems, 5(18), 1–11.

Knowledge Exploration and Data Mining

• McGonigle, D., & Mastrian, K. (2022). Nursing informatics and the foundation of knowledge (5th ed.). Jones & Bartlett. Available in the courseroom via the VitalSource Bookshelf link.
  • Chapter 26, “Our Expanding Realities.”
• Mollayeva, T., Sutton, M., Chan, V., Colantonio, A., Jana, S., & Escobar, M. (2019). Data mining to understand health status preceding traumatic brain injury. Scientific Reports, 9(1), 1–10.
• Sandhu, R., Kaur, N., Sood, S. K., & Buyya, R. (2018). TDRM: Tensor-based data representation and mining for healthcare data in cloud computing environments. The Journal of Supercomputing, 74(2), 592–614.
• Zhang, X., Wang, S., Cong, G., & Cuzzocrea, A. (2019). Social big data: Mining, applications, and beyond. Complexity, 2019, 1–2.