USE OF AI IN EVIDENCE-BASED PLAN MANAGEMENT
This assignment integrates clinical reasoning with the ethical use of artificial intelligence (AI) to develop an evidence-based management plan for a neurological or psychiatric condition. You will use AI tools to assist in generating differential diagnoses, identifying a final diagnosis, and creating a comprehensive management plan—then verify all information using current clinical practice guidelines and your own clinical judgment.
Through this activity, you will strengthen your ability to apply advanced documentation, diagnostic reasoning, and ethical decision making while evaluating the accuracy and limitations of AI in clinical care.
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Level 4: AI as a Learning Partner
AI use is required and may be used to help generate, analyze, or refine responses
Often paired with reflective or practicefocused assignments
RESOURCES
Be sure to review the Learning Resources before completing this assessment.
Required Resources
To prepare:
Review all Week 9 Learning Resources, including materials on ethical AI use and evidence-based practice guidelines for neurological and psychiatric conditions.
Download and review the Assignment Template Download Download and review the Assignment Template.
Your instructor will assign a neurological or psychiatric case study scenario found in course Announcements.
Review current clinical practice guidelines (e.g., APA, AAN, AAFP, CDC, or USPSTF) relevant to your assigned condition.
The Assignment (Template)
Analyze your assigned patient scenario (posted in Week 9 Announcements) and use an AI tool (such as ChatGPT, GROK, etc.) to assist in creating the following:
Differential Diagnoses (3–5): List and provide a rationale for each diagnosis, using subjective, objective, and pertinent history findings to rule out each differential diagnosis.
Final Diagnosis: Identify the final diagnosis with a rationale supported by subjective, objective, and pertinent history findings that rule in the diagnosis according to evidence-based guidelines.
Final Problem Statement: Write a problem statement with positive, negative, subjective and objective findings and pertinent history.
Evidence-Based Management Plan: Include diagnostics, medications, referrals/consults, patient education, and follow-up, verified against evidence-based clinical guidelines. Use a minimum of 3–5 peer-reviewed, scholarly sources published within the last 5 years. Cite all sources used with in-text citations and a corresponding list of references.
Complete and appropriate first-line medication orders (dose, route, frequency, duration, quantity, refills); thorough patient education including diagnosis explanation, medication teaching, lifestyle guidance, and red-flag symptoms; appropriate referrals with clear justification; and specific follow-up instructions including timeframe, purpose, and ED/urgent care precautions.)
Reflection on AI US: Write a brief paragraph discussing the accuracy, usefulness, and limitations of AI in developing your management plan.
Use of AI: Ensure all AI-generated recommendations are verified and adjusted based on clinical judgment and guideline validation.
Appendix: Include copies of prompts entered and outputs generated.
This assignment integrates clinical reasoning with ethical AI use: use AI to help generate differentials, reach a final diagnosis, and build a management plan for a neurological or psychiatric condition — then verify everything against guidelines and your judgment. It’s about disciplined, verified AI use.
Key takeaways
- Use AI as a learning partner, not an authority.
- Generate differentials and a final diagnosis for the chosen condition.
- Build a comprehensive, guideline-based management plan.
- Verify all AI output against current clinical practice guidelines.
- Evaluate AI’s accuracy, limitations, and ethical considerations.
Choose the condition and reason
Select a neurological or psychiatric condition and present the case. Use AI to help generate a differential diagnosis, then apply clinical reasoning to reach a final diagnosis — explaining why you keep one and reject others.
Build and verify the plan
Create a comprehensive management plan (diagnostics, treatment, follow-up, education). Crucially, verify every AI-suggested element against current clinical practice guidelines and your own judgment, correcting anything inaccurate.
Evaluate the AI
Reflect on where AI helped, where it fell short, and the ethical issues — accuracy, bias, privacy, and the clinician’s ultimate accountability. This meta-analysis is central to the assignment.
Format
Use advanced documentation, APA citations, and current guidelines.
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