Section 3: Useful AI Prompts for the Optometric Preceptor
Below is a set of ready-to-use AI prompts an optometric preceptor can enter into ChatGPT (or another LLM) to generate teaching aids, examples, and practice exercises for a student who is struggling with writing strong assessments and plans. These prompts are designed to produce clinically accurate, structured, optometry-specific educational material.
AI Prompts for Helping Students Improve Assessment & Plan Writing
1. Generate Step-by-Step A/P Templates
Prompt:
“Create a step-by-step template for writing an optometry assessment and plan for common clinical scenarios such as dry eye, glaucoma suspect, diabetic eye exams, and red eye. Include required elements, clinical reasoning steps, and example wording.”
2. Provide Examples of Strong vs. Weak A/Ps
Prompt:
“Provide examples of weak and strong assessment and plan statements for optometry cases. Explain what makes the strong version superior. Include cases such as posterior vitreous detachment, blepharitis, allergic conjunctivitis, and refractive error.”
3. Create Practice Case Scenarios
Prompt:
“Generate 5 optometry case scenarios for an intern to practice writing assessments and plans. Include patient age, chief complaint, key exam findings, and relevant systemic history. After each case, provide an ideal A/P for comparison.”
4. Build Differential Diagnosis Practice
Prompt:
“Create practice exercises where an optometry intern is given exam findings and must list 1–3 possible diagnoses. Include answer keys and explanations that show how findings support or rule out each diagnosis.”
5. Highlight Common Student Pitfalls
Prompt:
“List the most common mistakes optometry interns make when writing A/Ps and provide corrected examples. Include issues such as missing medications/allergies, failing to link findings to the chief complaint, and inappropriate follow-up intervals.”
6. Create a ‘Reasoning Through the A/P’ Worksheet
Prompt:
“Create a printable worksheet that takes a student through the reasoning steps of building an assessment and plan, including: identifying the chief complaint, listing pertinent positives and negatives, linking findings to diagnoses, and choosing follow-up intervals.”
7. Produce a Patient-Communication Focused A/P Aid
Prompt:
“Generate examples of how to translate technical assessments and plans into language patients can understand. Include examples for glaucoma, cataracts, dry eye, and contact lens complications.”
8. Design a Quick-Reference Clinical Guide
Prompt:
“Create a quick-reference guide for optometry interns outlining the standard components of an assessment and plan for common conditions: what must be included, what is optional, and common follow-up intervals.”
9. Create Editable A/P Templates for Documentation
Prompt:
“Write editable EHR-style templates for assessments and plans for:
• dry eye disease
• glaucoma suspect
• diabetic eye exam
• contact lens follow-up
Include placeholders that students can fill in.”
10. Build a Case-Review Reflective Activity
Prompt:
“Create a reflection activity for an optometry intern to review a patient encounter and evaluate the strengths and weaknesses of their assessment and plan. Include guiding questions and a scoring rubric.”
11. Make a Prompt for Student Self-Diagnosis of Gaps
Prompt:
“Develop a self-assessment checklist for optometry interns to identify weaknesses in their assessment and plan writing. Include categories such as clinical reasoning, synthesis of history and findings, identifying urgency, and follow-up planning.”
12. Generate ‘Explain Your Reasoning’ Prompts
Prompt:
“Create 10 prompts that force an optometry student to justify the assessment and plan they wrote, such as: ‘Which finding led you to this diagnosis?’ or ‘Why is this follow-up interval appropriate?’ Provide model answers.”
Additional Resources:
OCEF 2025 recording of speaker on usage of AI for clinical teaching (Dr. Laurah Turner, Univ of Cincinnati):
