Clinical documentation takes too long. Physicians, nurses, and allied health providers routinely spend more time on paperwork than on direct patient care.
AI can reduce that burden significantly. But healthcare is not a domain where generic prompts work. Patient safety, regulatory compliance, and clinical accuracy demand a more careful approach.
This guide provides practical AI prompt templates for three core healthcare workflows: clinical documentation, patient education, and research summarization. Every template is built with HIPAA considerations in mind.
Warning
AI is a documentation and writing aid, not a diagnostic or clinical decision-making tool. Every output must be reviewed and validated by a qualified healthcare professional before use in patient care. AI models can generate inaccurate medical information.
HIPAA and Privacy Fundamentals
These rules apply to every prompt in this guide.
What Never Goes Into a Public AI Model
Protected Health Information (PHI) must never be entered into public AI tools unless your organization has a Business Associate Agreement (BAA) with the provider and the tool is deployed within a HIPAA-compliant environment. PHI includes patient names, dates of birth, medical record numbers, Social Security numbers, and any combination of details that could identify an individual.
What You Use Instead
Replace specific patient details with generalized, de-identified descriptions. Your prompt should read like a textbook case description, not a chart note:
- "45-year-old female" instead of a name and exact age
- "history of Type 2 diabetes, diagnosed approximately 5 years ago" instead of referencing a specific chart
- "adult presenting with chest pain and shortness of breath" instead of copying triage notes
The De-identification Workflow
- Strip all identifiers. Remove names, dates, MRNs, and unique details.
- Generalize the scenario. Convert the specific case into a clinical pattern.
- Write the prompt using the generalized version.
- Review the AI output. Manually add patient-specific details in your EHR.
- Verify clinical accuracy. Cross-check every detail against your own assessment.
Clinical Documentation Prompts
SOAP Note Generator
You are a clinical documentation specialist. Generate a SOAP note
for the following encounter.
Patient profile: {{age_range}} year old {{gender}} with a history
of {{conditions}}.
Visit type: {{visit_type}} (e.g., routine follow-up, acute visit)
Chief complaint: {{chief_complaint}}
Reported symptoms: {{symptom_description}}
Vital signs: {{vital_sign_ranges}}
Physical exam findings: {{exam_findings_summary}}
Current medications: {{medication_categories}}
Recent lab or imaging results (if applicable): {{results_summary}}
Generate a complete SOAP note:
- Subjective: Patient's reported symptoms, HPI, and relevant ROS.
- Objective: Vital signs, physical exam findings, diagnostic results.
- Assessment: Clinical impression with differential considerations.
- Plan: Treatment plan, medication changes, follow-up timeline,
referrals, and patient education provided.
Use standard medical terminology. Include ICD-10 code suggestions.
Format for EHR integration with clear section headers.
Discharge Summary Template
You are a hospital documentation specialist. Create a discharge
summary for the following admission.
Admission type: {{admission_type}}
Primary diagnosis: {{diagnosis_category}}
Secondary diagnoses: {{comorbidities}}
Length of stay: {{approximate_duration}}
Hospital course summary: {{brief_course_description}}
Procedures performed: {{procedure_types}}
Medications at discharge: {{medication_categories_and_changes}}
Generate a discharge summary including:
1. Admission diagnosis and reason for hospitalization
2. Hospital course narrative (chronological, 2-3 paragraphs)
3. Significant findings from labs, imaging, or consultations
4. Procedures performed with brief outcomes
5. Discharge medications with changes from admission noted
6. Follow-up appointments and timeline
7. Activity restrictions and precautions
8. Warning signs requiring immediate medical attention
9. Patient education provided during the stay
Use professional medical language with labeled sections.
Referral Letter Draft
You are a physician writing a referral letter to a specialist.
Referring to: {{specialty}}
Reason for referral: {{referral_reason}}
Patient profile: {{age_range}} year old {{gender}} with relevant
history of {{pertinent_conditions}}
Key findings prompting referral:
- Symptoms: {{symptom_summary}}
- Duration: {{symptom_duration}}
- Relevant test results: {{test_results_summary}}
- Treatments attempted: {{prior_treatment_summary}}
Specific question for the specialist: {{clinical_question}}
Write a concise referral letter (under 300 words) including:
- Clear reason for referral
- Relevant clinical history (only what the specialist needs)
- Current medications related to the referral reason
- Specific clinical question or request
- Urgency level and preferred timeline
Tone: professional, direct, clinician-to-clinician.
Progress Note Builder
For inpatient settings or multi-visit outpatient care, progress notes track how a patient is responding to treatment over time.
You are a clinical documentation specialist. Write a progress note
for a {{setting}} patient.
Patient profile: {{age_range}} year old {{gender}} with
{{primary_condition}}
Day of treatment or visit number: {{timeframe}}
Current status:
- Symptom changes since last note: {{symptom_update}}
- Treatment response: {{response_description}}
- New concerns or complications: {{new_issues_or_none}}
- Current vital sign trends: {{vital_trends}}
- Functional status: {{functional_description}}
Active treatment plan: {{current_treatment_summary}}
Generate a progress note including:
1. Interval history (changes since last documentation)
2. Current clinical status with objective data
3. Assessment of treatment effectiveness
4. Plan modifications (if any) with clinical rationale
5. Anticipated next steps and timeline
Use concise medical language. Focus on clinically meaningful
changes rather than repeating unchanged information.
Patient Education Material Prompts
Patients understand and follow treatment plans better when they receive clear, jargon-free explanations. AI can draft readable materials, but every piece must be clinically reviewed before distribution.
Condition Explanation Generator
You are a health educator writing for patients with no medical
background. Create a patient education handout about
{{condition_name}}.
Reading level target: 6th to 8th grade
The handout should cover:
1. **What is {{condition_name}}?** Plain language explanation.
Define medical terms when necessary.
2. **What causes it?** Common causes or risk factors.
3. **What are the symptoms?** List common symptoms.
4. **How is it treated?** General treatment approaches. Do NOT
recommend specific medications or dosages.
5. **What can I do at home?** Practical self-care tips.
6. **When should I call my doctor?** Specific warning signs.
7. **Questions to ask your provider** — 3-4 questions for the
patient's next appointment.
Format with clear headings, short paragraphs, and bullet points.
Total length: 400-600 words.
Medication Information Sheet
You are a pharmacist educator creating a patient-friendly
medication information sheet for {{medication_class_or_generic_name}}.
Reading level: 6th to 8th grade. Include these sections:
1. **What this medication does** — One-sentence explanation.
2. **How to take it** — Timing, food interactions, consistency.
Do NOT include specific dosages.
3. **Common side effects** — Plain language, note which typically
resolve on their own.
4. **Side effects needing immediate attention** — Warning signs
requiring the ER or provider contact.
5. **Things to avoid** — Common interactions and precautions.
6. **Tips for remembering to take it** — 2-3 strategies.
7. **What if I miss a dose?** — General guidance; direct patient
to ask their pharmacist for specifics.
Keep under 400 words. Use short sentences, avoid abbreviations.
Pre-Procedure Patient Instructions
You are a patient educator writing pre-procedure instructions for
a {{procedure_type}}.
Write clear, step-by-step instructions covering:
1. **Before the procedure** — Diet restrictions, medication
adjustments (note that the patient's own doctor provides
specific med instructions), what to bring, clothing guidance.
2. **Day of the procedure** — Arrival expectations, check-in
process, general overview of what happens, estimated duration.
3. **After the procedure** — Common sensations to expect, activity
restrictions, when to resume normal activities, follow-up.
4. **When to call the office** — Specific symptoms to watch for,
who to call during and after office hours.
Tone: reassuring but factual. Use numbered steps and bullet points.
Total length: 300-500 words.
Medical Research Summarization Prompts
These prompts help clinicians process research more efficiently. The clinician's own expertise remains essential for evaluating the quality and applicability of any study.
Warning
AI models can hallucinate citations, fabricate study results, and misrepresent statistical findings. Never cite an AI-generated research summary without verifying every claim against the original source material.
Study Summary Template
You are a medical research analyst. Summarize the following
research study for a busy clinician.
Study details I will provide:
- Title and authors
- Journal and publication date
- Study design (RCT, cohort, meta-analysis, etc.)
- Key findings
Produce a structured summary:
1. **Study overview** (2-3 sentences) — What was studied, in what
population, and why it matters.
2. **Methods** (3-4 sentences) — Design, sample size, intervention
vs. control, endpoints, follow-up duration.
3. **Key findings** (bullet points) — Primary outcomes with effect
sizes and CIs where available.
4. **Limitations** (bullet points) — Methodological limitations,
biases, generalizability concerns.
5. **Clinical bottom line** (2 sentences) — What this means for
practice in plain language.
Keep under 300 words. Prioritize clinical relevance.
Clinical Guideline Comparison
You are a clinical practice analyst. Compare current clinical
guidelines on {{clinical_topic}} from different professional
organizations.
I will provide the guideline names and key recommendations.
Create a comparison including:
1. **Summary table** — Issuing organization, publication year,
key recommendation, strength of recommendation, evidence quality.
2. **Areas of agreement** — Where do guidelines align?
3. **Areas of disagreement** — Where do they differ and why?
4. **Clinical implications** — What is the most defensible approach
given the current guideline landscape?
Keep factual and balanced. Present the evidence; let the clinician
decide.
Putting These Prompts to Work
Start With One Workflow
Do not overhaul your entire documentation process at once. Pick the workflow that consumes the most time — for most providers, that is clinical notes — and pilot AI-assisted drafting for two weeks. Measure your actual time savings honestly before expanding to other use cases.
Build a Personal Template Library
Every clinician's practice is different. A primary care physician's SOAP note needs are different from an emergency medicine physician's. Take the templates in this guide, modify them for your specific specialty and patient population, and save the versions that work. Tools like SurePrompts' Template Builder let you store and organize prompt templates so you are not rewriting them each time.
Always Review Before Signing
AI generates drafts, not finished clinical documents. Every note, summary, and patient handout must be reviewed by the responsible clinician before it becomes part of the medical record or reaches a patient. Your clinical judgment is not optional — it is the entire point.
Keep PHI Out of the Prompt
If you find yourself wanting to copy-paste from a patient chart into an AI tool, stop. De-identify first. Use the generalized approach described at the top of this guide. The extra 60 seconds of de-identification protects your patient, your practice, and your license.
Stay Current on Compliance
The regulatory landscape for AI in healthcare is evolving. Your organization's compliance office should be involved in any AI tool adoption. Institutional policies on AI use may be more restrictive than the general HIPAA guidelines discussed here, and those institutional policies take precedence.
Choosing the Right AI Approach for Your Setting
Not every healthcare setting has the same requirements or risk profile for AI use.
Private Practice
Individual practitioners often have the most flexibility. You control your own tools and workflows, but you also bear full responsibility for compliance. Start with patient education handouts — they carry the lowest risk and offer immediate time savings.
Hospital and Health System Settings
Institutional policies may restrict which AI tools you can use and for what purposes. Check with your compliance and IT departments before adopting any AI tool. Some health systems are deploying enterprise AI solutions with built-in HIPAA safeguards, which offer a safer path than public consumer tools.
Academic Medical Centers
Teaching environments can benefit from AI-assisted documentation templates for trainees learning clinical note writing. The templates in this guide can serve as instructional scaffolds — demonstrating expected note structure while the trainee provides the clinical content.
Telehealth
Virtual visits generate the same documentation requirements as in-person encounters. AI-assisted templates for post-visit summaries and patient instructions are especially useful in telehealth settings where patients may not have a paper handout to take home.
What AI Cannot Do in Healthcare
- AI cannot diagnose patients. Clinical diagnosis requires a licensed provider evaluating a specific patient.
- AI cannot replace clinical judgment. Treatment decisions depend on context, nuance, and clinical experience that AI does not have.
- AI cannot guarantee accuracy. Large language models generate plausible text, not verified medical facts.
- AI cannot maintain confidentiality on its own. The responsibility for data protection rests with the user.
Understanding these boundaries is a prerequisite for using AI responsibly in healthcare.
For more on structuring effective prompts, see our guide to writing AI prompts. For additional healthcare templates, the healthcare prompt toolkit covers administrative and specialty workflows.
Keep Reading
- Healthcare AI Prompts: Medical Professionals' Complete Toolkit — Administrative tasks, quality improvement, and specialty workflows
- AI Ethics Prompting Guide — Frameworks for responsible AI use across industries
- How to Write AI Prompts — The fundamentals of effective prompt engineering