Virtual Patient Simulation: Shortness of Breath Case
Created byNIK IDA MARLIANA NIK ANUAR
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Virtual Patient Simulation: Shortness of Breath Case

College/UniversityScience1 days
5.0 (1 rating)
In this project, college/university nursing students utilize an AI-driven virtual patient simulation to develop clinical reasoning and evidence-based care plans for an adult patient experiencing worsening shortness of breath and multiple comorbidities. Students engage in a 'code blue' simulation, assess patient data, formulate nursing diagnoses, and implement and evaluate nursing interventions. The project culminates in a comprehensive evaluation report summarizing the effectiveness of the interventions and outlining revisions to the care plan, enhancing their skills in managing complex patient cases and utilizing AI tools for clinical decision-making.
AI SimulationClinical ReasoningNursing DiagnosisEvidence-Based PracticePatient Care PlanComorbiditiesShortness of Breath
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Inquiry Framework

Question Framework

Driving Question

The overarching question that guides the entire project.How can we, as primary nurses, leverage AI-driven simulations to develop and implement evidence-based care plans for adult patients experiencing worsening shortness of breath and multiple comorbidities, and how do we evaluate the effectiveness of our interventions to improve patient outcomes?

Essential Questions

Supporting questions that break down major concepts.
  • How can AI simulations enhance clinical reasoning skills in nursing students?
  • What are the key nursing assessments and interventions for a patient experiencing acute shortness of breath?
  • How do comorbidities impact the nursing care plan for a patient with respiratory distress?
  • What evidence-based practices should guide the nursing care of a patient with worsening shortness of breath?
  • How can nursing students effectively evaluate the outcomes of nursing interventions in a simulated clinical setting?

Standards & Learning Goals

Learning Goals

By the end of this project, students will be able to:
  • Develop clinical reasoning skills through AI-driven simulations.
  • Accurately assess and interpret patient data related to respiratory distress and comorbidities.
  • Formulate evidence-based nursing care plans for patients with worsening shortness of breath.
  • Evaluate the effectiveness of nursing interventions in a simulated clinical setting.
  • Apply critical thinking and problem-solving skills to manage complex patient cases.
  • Utilize AI tools to support clinical decision-making and enhance patient outcomes.

Course Learning Outcomes

NURS-1
Primary
Assess patient data accurately and comprehensively.Reason: Directly addresses the need to evaluate and interpret patient information.
NURS-2
Primary
Formulate appropriate nursing diagnoses based on patient data.Reason: Focuses on the ability to identify and prioritize patient problems.
NURS-3
Primary
Plan and implement nursing care using evidence-based practice.Reason: Emphasizes the application of research and best practices in patient care.
NURS-4
Primary
Evaluate the effectiveness of nursing interventions and revise care plans as needed.Reason: Highlights the importance of continuous monitoring and adjustment of care strategies.

National League for Nursing Standards

NLN-1
Secondary
Utilize data and technology to enhance clinical decision-making.Reason: Supports the use of AI simulations for improved reasoning.

American Association of Colleges of Nursing Competencies

AACN-1
Secondary
Apply critical thinking and problem-solving skills in patient care.Reason: Reinforces the development of analytical skills for complex cases.

Entry Events

Events that will be used to introduce the project to students

'Code Blue' Simulation

A simulated 'code blue' scenario involving the patient kicks off the project. Students must immediately respond, assessing the patient and utilizing initial data to understand the urgency and complexity of the case, prompting immediate engagement and highlighting the critical thinking required.
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Portfolio Activities

Portfolio Activities

These activities progressively build towards your learning goals, with each submission contributing to the student's final portfolio.
Activity 1

Nursing Diagnosis Navigator

Using the data collected in the first activity, students formulate potential nursing diagnoses relevant to the patient's condition. They prioritize these diagnoses based on the urgency and potential impact on the patient's health, justifying their choices with evidence from the patient data.

Steps

Here is some basic scaffolding to help students complete the activity.
1. Based on the patient data, identify potential nursing diagnoses.
2. Prioritize the diagnoses based on urgency and impact on the patient's health.
3. Justify each diagnosis with specific evidence from the patient data and relevant nursing knowledge.

Final Product

What students will submit as the final product of the activityA prioritized list of nursing diagnoses with supporting evidence and rationale for each diagnosis.

Alignment

How this activity aligns with the learning objectives & standardsAddresses NURS-2 (Formulate appropriate nursing diagnoses based on patient data) by requiring students to identify and prioritize patient problems based on the information available.
Activity 2

Evidence-Based Intervention Architect

Students research and select evidence-based interventions to address the prioritized nursing diagnoses. They develop a detailed nursing care plan, including specific actions, monitoring parameters, and expected outcomes, referencing the evidence supporting their choices.

Steps

Here is some basic scaffolding to help students complete the activity.
1. Research evidence-based interventions for each prioritized nursing diagnosis.
2. Develop a detailed nursing care plan, including specific actions, monitoring parameters, and expected outcomes.
3. Cite the evidence supporting each intervention and explain how it is expected to improve patient outcomes.

Final Product

What students will submit as the final product of the activityA comprehensive nursing care plan with evidence-based interventions, monitoring parameters, expected outcomes, and supporting citations.

Alignment

How this activity aligns with the learning objectives & standardsAddresses NURS-3 (Plan and implement nursing care using evidence-based practice) by emphasizing the application of research and best practices in the development of a patient care plan.
Activity 3

Intervention Effectiveness Evaluator

After implementing the nursing care plan in the AI simulation, students evaluate the effectiveness of their interventions by monitoring patient outcomes and comparing them to the expected outcomes outlined in the care plan. They analyze any discrepancies and revise the care plan as needed to improve patient outcomes.

Steps

Here is some basic scaffolding to help students complete the activity.
1. Implement the nursing care plan in the AI simulation and monitor patient outcomes.
2. Compare actual patient outcomes to the expected outcomes outlined in the care plan.
3. Analyze any discrepancies and revise the care plan as needed to improve patient outcomes.

Final Product

What students will submit as the final product of the activityAn evaluation report summarizing the effectiveness of the nursing interventions, identifying areas for improvement, and outlining revisions to the care plan.

Alignment

How this activity aligns with the learning objectives & standardsAddresses NURS-4 (Evaluate the effectiveness of nursing interventions and revise care plans as needed) by focusing on the continuous monitoring and adjustment of care strategies based on patient outcomes.
Activity 4

Patient Data Detective

Students begin by reviewing the patient's initial clinical data provided by the AI, including vital signs, medical history, and lab results, to identify key health indicators and potential issues.

Steps

Here is some basic scaffolding to help students complete the activity.
1. Review the patient's medical history and current symptoms as presented in the AI simulation.
2. Analyze vital signs, lab results, and any other available data to identify abnormalities.
3. Document initial observations and any immediate concerns in a patient assessment form.

Final Product

What students will submit as the final product of the activityA completed patient assessment form with documented observations, identified abnormalities, and initial concerns.

Alignment

How this activity aligns with the learning objectives & standardsAddresses NURS-1 (Assess patient data accurately and comprehensively) by focusing on the initial evaluation and interpretation of patient information.
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Rubric & Reflection

Portfolio Rubric

Grading criteria for assessing the overall project portfolio

AI-Enhanced Clinical Reasoning Rubric

Category 1

Patient Assessment & Data Interpretation

Evaluates the student's ability to accurately assess and interpret patient data from the AI simulation to identify key health indicators and potential issues.
Criterion 1

Data Collection

Accuracy and comprehensiveness of data collected from the AI simulation (vital signs, history, lab results).

Exemplary
4 Points

Collects all relevant patient data with exceptional accuracy and detail, demonstrating a thorough understanding of the patient's medical history and current symptoms. Identifies subtle cues and patterns in the data.

Proficient
3 Points

Collects most relevant patient data with good accuracy and detail, demonstrating a solid understanding of the patient's medical history and current symptoms.

Developing
2 Points

Collects some relevant patient data with acceptable accuracy and detail, demonstrating a basic understanding of the patient's medical history and current symptoms. Misses some important information.

Beginning
1 Points

Collects minimal patient data with limited accuracy and detail, demonstrating a poor understanding of the patient's medical history and current symptoms. Major omissions are evident.

Criterion 2

Data Interpretation

Ability to analyze and interpret patient data to identify abnormalities and potential health issues.

Exemplary
4 Points

Accurately interprets all relevant patient data, identifying abnormalities and potential health issues with insightful analysis and clear connections to underlying pathophysiology. Prioritizes concerns effectively.

Proficient
3 Points

Accurately interprets most relevant patient data, identifying abnormalities and potential health issues with sound analysis.

Developing
2 Points

Interprets some patient data with reasonable accuracy, identifying some abnormalities and potential health issues. Demonstrates a basic understanding of the data.

Beginning
1 Points

Struggles to interpret patient data, missing key abnormalities and potential health issues. Demonstrates a limited understanding of the data.

Criterion 3

Documentation

Clarity and completeness of documenting initial observations, identified abnormalities, and immediate concerns.

Exemplary
4 Points

Documents all initial observations, identified abnormalities, and immediate concerns with exceptional clarity, detail, and organization. Uses precise medical terminology and provides a comprehensive overview of the patient's condition.

Proficient
3 Points

Documents initial observations, identified abnormalities, and immediate concerns with good clarity, detail, and organization.

Developing
2 Points

Documents some initial observations, identified abnormalities, and immediate concerns with acceptable clarity and detail. Documentation lacks completeness.

Beginning
1 Points

Documentation is incomplete, unclear, and lacks essential details. Significant information is missing.

Category 2

Nursing Diagnosis Formulation

Evaluates the student's ability to formulate and prioritize nursing diagnoses based on the patient's data and relevant nursing knowledge.
Criterion 1

Diagnosis Identification

Identification of relevant and accurate nursing diagnoses based on patient data.

Exemplary
4 Points

Identifies all relevant and accurate nursing diagnoses with exceptional insight and clarity, demonstrating a comprehensive understanding of the patient's condition and related nursing concepts.

Proficient
3 Points

Identifies most relevant and accurate nursing diagnoses with good understanding of the patient's condition.

Developing
2 Points

Identifies some relevant nursing diagnoses with reasonable accuracy. Some diagnoses may be missing or inaccurate.

Beginning
1 Points

Struggles to identify relevant nursing diagnoses. Many diagnoses are missing or inaccurate.

Criterion 2

Diagnosis Prioritization

Prioritization of nursing diagnoses based on urgency and impact on the patient's health.

Exemplary
4 Points

Prioritizes nursing diagnoses with exceptional accuracy and justification, demonstrating a deep understanding of the urgency and potential impact on the patient's health. Explains rationale clearly.

Proficient
3 Points

Prioritizes nursing diagnoses with good accuracy and justification, considering the urgency and potential impact on the patient's health.

Developing
2 Points

Prioritizes nursing diagnoses with some accuracy. Justification is limited and may not fully consider the urgency and potential impact on the patient's health.

Beginning
1 Points

Struggles to prioritize nursing diagnoses appropriately. Justification is lacking or inaccurate.

Criterion 3

Evidence-Based Justification

Use of specific evidence from patient data and nursing knowledge to justify each diagnosis.

Exemplary
4 Points

Provides comprehensive and compelling evidence from patient data and nursing knowledge to justify each diagnosis, demonstrating a sophisticated understanding of the underlying rationale.

Proficient
3 Points

Provides clear and relevant evidence from patient data and nursing knowledge to justify each diagnosis.

Developing
2 Points

Provides some evidence from patient data and nursing knowledge to justify each diagnosis, but the evidence may be limited or not fully relevant.

Beginning
1 Points

Provides minimal or irrelevant evidence to justify nursing diagnoses.

Category 3

Evidence-Based Care Planning

Evaluates the student's ability to research and develop a nursing care plan with evidence-based interventions to address the prioritized nursing diagnoses.
Criterion 1

Intervention Selection

Selection of appropriate and evidence-based interventions for each prioritized nursing diagnosis.

Exemplary
4 Points

Selects the most appropriate and evidence-based interventions for each nursing diagnosis, demonstrating a sophisticated understanding of current research and best practices. Interventions are highly tailored to the patient's specific needs.

Proficient
3 Points

Selects appropriate and evidence-based interventions for each nursing diagnosis.

Developing
2 Points

Selects some evidence-based interventions, but some choices may be less appropriate or lack strong evidence.

Beginning
1 Points

Selects interventions that are not evidence-based or are inappropriate for the nursing diagnoses.

Criterion 2

Care Plan Development

Development of a detailed nursing care plan including specific actions, monitoring parameters, and expected outcomes.

Exemplary
4 Points

Develops a comprehensive and detailed nursing care plan with specific actions, monitoring parameters, and measurable expected outcomes. The plan is logically organized, clearly articulated, and addresses all aspects of the patient's needs.

Proficient
3 Points

Develops a detailed nursing care plan with specific actions, monitoring parameters, and expected outcomes.

Developing
2 Points

Develops a nursing care plan with some specific actions, monitoring parameters, and expected outcomes, but the plan may lack detail or completeness.

Beginning
1 Points

Develops an incomplete or poorly defined nursing care plan with minimal detail.

Criterion 3

Evidence Citation

Citing evidence to support each intervention and explaining how it is expected to improve patient outcomes.

Exemplary
4 Points

Provides thorough and accurate citations to support each intervention, clearly explaining how the evidence supports the intervention and how it is expected to improve patient outcomes. Demonstrates a sophisticated understanding of the research and its implications for patient care.

Proficient
3 Points

Cites relevant evidence to support each intervention and explains how it is expected to improve patient outcomes.

Developing
2 Points

Cites some evidence to support interventions, but the citations may be incomplete or the explanation of how the evidence supports the intervention is unclear.

Beginning
1 Points

Fails to cite evidence or provide a rationale for the interventions.

Category 4

Intervention Evaluation & Care Plan Revision

Evaluates the student's ability to monitor patient outcomes, compare them to expected outcomes, and revise the care plan based on the evaluation.
Criterion 1

Outcome Monitoring

Accuracy and thoroughness of monitoring patient outcomes in the AI simulation.

Exemplary
4 Points

Monitors patient outcomes in the AI simulation with exceptional accuracy and thoroughness, identifying subtle changes and trends that provide valuable insights into the effectiveness of the interventions.

Proficient
3 Points

Monitors patient outcomes in the AI simulation with good accuracy and thoroughness.

Developing
2 Points

Monitors patient outcomes in the AI simulation with reasonable accuracy, but may miss some important changes or trends.

Beginning
1 Points

Fails to adequately monitor patient outcomes in the AI simulation.

Criterion 2

Outcome Comparison

Comparison of actual patient outcomes to expected outcomes outlined in the care plan.

Exemplary
4 Points

Provides a detailed and insightful comparison of actual patient outcomes to expected outcomes, identifying discrepancies and patterns that inform the evaluation of the interventions.

Proficient
3 Points

Compares actual patient outcomes to expected outcomes effectively.

Developing
2 Points

Compares actual patient outcomes to expected outcomes, but the comparison may lack detail or insight.

Beginning
1 Points

Fails to compare actual patient outcomes to expected outcomes.

Criterion 3

Care Plan Revision

Analysis of discrepancies and revision of the care plan to improve patient outcomes.

Exemplary
4 Points

Analyzes discrepancies between actual and expected outcomes with exceptional insight and clarity, proposing revisions to the care plan that are well-justified and likely to significantly improve patient outcomes. Demonstrates adaptability.

Proficient
3 Points

Analyzes discrepancies and revises the care plan effectively to improve patient outcomes.

Developing
2 Points

Identifies some discrepancies and proposes some revisions to the care plan, but the analysis and revisions may lack depth or effectiveness.

Beginning
1 Points

Fails to analyze discrepancies or revise the care plan appropriately.

Reflection Prompts

End-of-project reflection questions to get students to think about their learning
Question 1

How did the AI simulation enhance your understanding of clinical reasoning in complex patient scenarios?

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Question 2

To what extent did the AI simulation help you develop skills in assessing and interpreting patient data?

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Question 3

Which aspect of the simulation (patient assessment, diagnosis, intervention, evaluation) did you find most challenging, and why?

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Question 4

How effective were you in applying evidence-based practices during the simulation, and what resources did you find most helpful?

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Question 5

In what ways did your understanding of the impact of comorbidities on patient care evolve through this simulation?

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Question 6

How confident are you in your ability to manage a similar patient case in a real-world clinical setting after completing this simulation?

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Question 7

What specific changes would you make to your approach in a real-world clinical setting based on what you learned from this simulation?

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Question 8

How could AI simulations like this be further improved to enhance nursing education and training?

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Question 9

What were the key 'lessons learned' or insights gained from this simulation experience regarding patient care and clinical decision-making?

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