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Healthcare Prompts

ChatGPT Prompts for Healthcare Professionals

Reduce administrative burden. These prompts help with patient education materials, clinical notes, research summaries, and practice management.

12 prompts|Updated March 2026

Healthcare professionals spend hours on documentation and admin tasks. These prompts help you draft patient education handouts, summarize research papers, create intake forms, and streamline clinical documentation — while always keeping accuracy and compliance top of mind. Note: AI-generated medical content should always be reviewed by a qualified healthcare professional before clinical use.

1

Patient Education Handout Generator

Create a patient education handout for the following condition or procedure.

Condition/Procedure: [e.g., Type 2 Diabetes Management | Post-Knee Replacement Recovery | Colonoscopy Preparation]
Patient population: [general adult | pediatric (parent-facing) | geriatric | prenatal]
Reading level target: [5th grade | 8th grade | general adult]
Language: [English | specify other]
Key topics to cover: [list 4-6 specific areas, e.g., what the condition is, symptoms, treatment options, lifestyle changes, when to seek emergency care]
Medications commonly prescribed: [list if applicable]
Practice-specific instructions: [any custom protocols your clinic follows]

Format requirements:
- Use plain language — avoid medical jargon or define it in parentheses when unavoidable
- Include a "When to Call Your Doctor" section with specific warning signs
- Add a "Questions to Ask at Your Next Visit" section with 3-5 suggested questions
- Use bullet points and short paragraphs for scannability
- Include a space for the provider's name, phone number, and next appointment date
- Keep total length under 2 pages when printed
Run the output through a readability scorer (like Hemingway Editor) to verify it hits your target reading level. Most patient education materials should be at a 5th-6th grade reading level for maximum accessibility.
2

Clinical Note Summary

Summarize the following clinical encounter into a structured note format.

Encounter type: [office visit | telehealth | urgent care | ED follow-up | post-surgical]
Patient context: [age range, gender, relevant medical history — use anonymized data only]
Chief complaint: [primary reason for visit]
History of present illness: [narrative of symptoms, onset, duration, severity, aggravating/relieving factors]
Examination findings: [relevant positive and negative findings]
Assessment: [working diagnosis or differential diagnosis list]
Plan: [treatment plan, medications, referrals, follow-up timeline]

Summarize into:
1. A concise 2-3 sentence clinical summary suitable for a referral letter
2. A patient-friendly summary (3-4 sentences, plain language) suitable for a portal message
3. Key action items for the care team (bullet list)
4. Follow-up triggers — specific symptoms or timeframes that should prompt the patient to return
5. ICD-10 code suggestions based on the assessment (note: verify all codes before submission)
Never paste actual patient identifiers into any AI tool. Always anonymize — replace names with [Patient], remove dates of birth, and use age ranges instead of exact ages.
3

Research Paper Summary for Clinical Application

Summarize the following research paper for clinical decision-making.

Paper title: [title]
Authors: [first author et al.]
Journal: [journal name]
Publication year: [year]
Study type: [RCT | meta-analysis | cohort study | case-control | systematic review | case series]
Key findings to focus on: [paste the abstract or key results section]

Generate:
1. One-paragraph plain-language summary a busy clinician can read in 60 seconds
2. Study design and methodology assessment (strengths and limitations in 3-5 bullets)
3. Key statistics: sample size, primary outcome, effect size, confidence intervals, NNT if applicable
4. Clinical relevance: How does this change or confirm current practice? Be specific.
5. Patient population applicability: Who do these findings apply to? Who was excluded?
6. Comparison to existing guidelines: Does this align with or contradict current [ACR | AHA | NICE | WHO | specify] guidelines?
7. Bottom line: One sentence a provider could use in a patient conversation
8. Limitations the provider should be aware of before changing practice
Cross-reference AI summaries with the original paper's tables and figures. AI can misinterpret statistical significance or overlook subgroup analyses that matter for your specific patient population.
4

Patient Intake Form Generator

Create a comprehensive patient intake form for the following practice type.

Practice type: [primary care | orthopedics | dermatology | mental health | pediatrics | OB/GYN | cardiology | specify]
New or returning patient: [new patient | returning patient update]
Age group: [pediatric | adolescent | adult | geriatric]
Regulatory requirements: [HIPAA — US | PHIPA — Canada | GDPR — EU | specify]
EHR system (for field alignment): [Epic | Cerner | Athenahealth | generic]
Special screening tools to include: [PHQ-9 | GAD-7 | AUDIT-C | falls risk | none]

Generate:
1. Patient demographics section (name, DOB, contact, emergency contact, insurance)
2. Medical history section with common conditions checklist relevant to [practice type]
3. Surgical history section
4. Current medications section (with dosage, frequency, prescriber fields)
5. Allergies section (medication, food, environmental — with reaction type)
6. Family history section focused on conditions relevant to [practice type]
7. Social history (occupation, tobacco, alcohol, exercise, diet — appropriate detail level)
8. Review of systems checklist tailored to [practice type]
9. Consent and privacy acknowledgment section
10. Any required screening questionnaires listed above
Map the form fields to your EHR's data structure before finalizing. A well-designed intake form that aligns with your EHR reduces manual data entry by 40-60%.
5

Medication Interaction Checker Prompt

Analyze the following medication list for potential interactions and safety concerns.

Patient profile: [age range, gender, weight range if relevant, renal function if known, hepatic function if known]
Current medication list:
- [Medication 1: name, dose, frequency, indication]
- [Medication 2: name, dose, frequency, indication]
- [Medication 3: name, dose, frequency, indication]
- [Add all current medications]
Proposed new medication: [name, proposed dose, frequency, indication]
Known allergies: [list drug allergies with reaction type]
Relevant conditions: [renal impairment | hepatic impairment | pregnancy | breastfeeding | none]

Analyze and provide:
1. Drug-drug interactions: List each interaction pair, severity (major | moderate | minor), mechanism, and clinical significance
2. Drug-disease interactions: Flag any medications that may worsen existing conditions
3. Duplicate therapy: Identify any therapeutic duplications
4. Dosing concerns: Flag doses that may need adjustment for renal/hepatic function or age
5. Monitoring recommendations: What labs or vitals should be monitored and how often
6. Deprescribing opportunities: Any medications that may no longer be necessary
7. Patient counseling points for the proposed new medication

IMPORTANT: This output is for preliminary review only. Always verify interactions using a clinical decision support tool (Lexicomp, Micromedex, or Clinical Pharmacology) before making prescribing decisions.
Use this as a starting point for medication reconciliation, but always cross-check with your pharmacy's clinical decision support system. AI models may not have the most current drug safety data.
6

Staff Training Module Outline

Create a staff training module outline for the following healthcare topic.

Training topic: [e.g., HIPAA Compliance Refresher | Infection Control Best Practices | New EHR System Workflow | Patient De-escalation | Cultural Competency in Patient Care]
Target audience: [clinical staff | front desk/admin | all staff | nurses only | new hires]
Compliance requirement: [annual mandatory | onboarding | new regulation | voluntary professional development]
Duration target: [30 minutes | 1 hour | half-day | self-paced over 1 week]
Delivery format: [in-person lecture | slide deck | e-learning module | hands-on workshop | blended]
Regulatory body/standard: [OSHA | Joint Commission | CMS | state health department | specify]

Generate:
1. Learning objectives (3-5 measurable outcomes using Bloom's taxonomy verbs)
2. Module outline with timed sections
3. Key content points for each section (bullet format, include relevant regulations and citations)
4. 2-3 real-world scenario exercises or case studies relevant to [practice type]
5. Knowledge check questions (5-10 multiple choice with answer key and explanations)
6. Competency assessment rubric for hands-on skills (if applicable)
7. Required documentation: attendance log template and completion certificate language
8. Resources and references for further learning
Record completion data meticulously — Joint Commission and CMS surveyors specifically ask for training documentation during audits. Keep records for at least 3 years.
7

Appointment Follow-Up Email

Write a follow-up email to send to a patient after their appointment.

Visit type: [annual wellness | post-procedure | chronic disease management | new diagnosis | specialist referral follow-up]
Key discussion points from visit: [list 3-5 topics covered]
Action items for patient: [list specific tasks, e.g., start new medication, schedule lab work, follow dietary changes, complete referral]
Medications changed: [list any new, adjusted, or discontinued medications with instructions]
Next appointment: [date/timeframe | "call to schedule when..."]
Lab or imaging results pending: [yes — expected in X days | no]
Referrals placed: [specialist type, name if known, contact info]
Patient portal available: [yes | no]

Email requirements:
- Warm, professional tone — address patient by first name
- Summarize what was discussed in plain language (no medical jargon)
- List action items as a numbered checklist the patient can follow
- Include "when to contact us sooner" triggers
- Provide the office phone number and patient portal link
- Keep under 300 words
- Include a HIPAA-appropriate disclaimer footer
- Do not include specific diagnoses or sensitive test results in the email body — direct them to the patient portal for those
Send follow-up emails within 24 hours of the visit while the conversation is fresh. Patients retain less than 50% of what is discussed during appointments — a written summary dramatically improves adherence.
8

Health Literacy Simplifier

Rewrite the following medical text at a [5th grade | 6th grade | 8th grade] reading level while preserving clinical accuracy.

Original text:
[Paste the medical text, discharge instructions, consent form language, or clinical explanation here]

Context: [patient education | consent form | discharge instructions | medication guide | website content]
Audience: [general public | elderly patients | parents of pediatric patients | ESL patients]

Requirements:
- Replace all medical jargon with plain-language equivalents (e.g., "hypertension" → "high blood pressure")
- Where medical terms must be used, define them in parentheses on first use
- Break long sentences into shorter ones (aim for 15 words or fewer per sentence)
- Use active voice ("Take your medicine at 8 AM" not "Medication should be administered at 0800")
- Convert any numerical lab values into plain-language interpretations
- Add analogies or comparisons where they aid understanding
- Format with headers, bullet points, and bold key actions
- Flag any sections where simplification might reduce clinical precision — note these as "[Provider Review Needed]"
- Output both the simplified version and a change log noting every medical term that was replaced
The average American adult reads at an 8th grade level, but health literacy is often 2-3 grades lower than general literacy. When in doubt, go simpler.
9

SOAP Note Template Generator

Generate a SOAP note template customized for the following encounter type.

Encounter type: [primary care follow-up | urgent care visit | psychiatric evaluation | physical therapy session | prenatal visit | post-operative check]
Specialty: [family medicine | internal medicine | psychiatry | orthopedics | OB/GYN | specify]
Chief complaint category: [acute illness | chronic disease management | preventive care | injury | mental health | pain management]
Billing consideration: [standard office visit | prolonged visit | telehealth modifier | specify]

Generate a SOAP template with:

Subjective:
- Chief complaint with HPI framework prompts (onset, location, duration, characteristics, aggravating/relieving factors, timing, severity)
- ROS checklist relevant to the chief complaint category (positive and pertinent negatives)
- Medication adherence and side effects check
- Relevant social/lifestyle factors

Objective:
- Vital signs section with normal ranges for reference
- Physical exam checklist relevant to [specialty] and [chief complaint category]
- Lab/imaging results section with date fields
- Screening tool results (if applicable)

Assessment:
- Primary diagnosis with ICD-10 code field
- Differential diagnosis list (numbered)
- Problem list update section
- Risk stratification notation

Plan:
- Medications (new/changed/continued) with patient education notes
- Orders (labs, imaging, referrals)
- Patient education provided and method (verbal, handout, portal)
- Follow-up timeline with specific return triggers
- Time spent documentation (for billing compliance)
Customize this template for your top 10 most common visit types and save them in your EHR as note templates. A well-structured template reduces documentation time by 30% and improves billing accuracy.
10

Practice Marketing Content Creator

Write marketing content for a healthcare practice to attract new patients.

Practice name: [name]
Specialty: [primary care | dermatology | dental | orthopedics | mental health | specify]
Location: [city, state]
Target patient demographic: [young families | seniors | athletes | corporate employees | specify]
Content type: [website About page | Google Business Profile description | social media post series | patient newsletter | blog post]
Unique differentiators: [list 3-5 things that set this practice apart, e.g., same-day appointments, multilingual staff, advanced technology, extended hours]
Services to highlight: [list 3-5 key services]
Provider credentials to mention: [board certifications, fellowship training, years of experience]
Patient reviews/testimonials available: [yes — include themes | no]
Tone: [warm and approachable | clinical and authoritative | modern and tech-forward]

Requirements:
- Comply with healthcare advertising regulations — no guarantees of outcomes
- Avoid superlatives ("best doctor in the city") unless backed by verifiable awards
- Include a clear call to action (book online, call, visit)
- Optimize for local SEO if web content: include [city], [neighborhood], and [specialty] naturally
- Focus on patient benefits and experience, not just credentials
- If social media: create a 4-post series with suggested images/topics for each
- Do not include patient testimonials without noting they reflect individual experiences
Healthcare marketing is regulated — the FTC and state medical boards have specific rules about claims and testimonials. Have your compliance officer review all marketing materials before publishing.
11

Continuing Education Study Guide

Create a study guide for the following continuing education topic or board exam preparation.

Topic: [e.g., Pharmacology Update 2026 | Pediatric Emergency Assessment | Diabetic Foot Care | Psychiatric Medication Management]
Exam/certification: [USMLE Step 3 | NCLEX-RN | board recertification — specify specialty | CME credit topic]
Difficulty level: [foundational review | intermediate | advanced/board-level]
Time available for study: [1 week | 2 weeks | 1 month | ongoing review]
Learning style preference: [visual (tables/diagrams) | case-based | Q&A format | concept maps]

Generate:
1. Topic overview: Key concepts in a hierarchical outline (3-4 levels of detail)
2. High-yield facts: 15-20 must-know points formatted as flashcard pairs (question | answer)
3. Clinical decision algorithms: Step-by-step decision trees for common scenarios within this topic
4. Pharmacology table (if applicable): Drug class, mechanism, indications, key side effects, contraindications, monitoring
5. Practice questions: 10 board-style multiple choice questions with detailed answer explanations and references
6. Common exam pitfalls: 5 frequently tested misconceptions or tricky distinctions
7. Mnemonics: Create 3-5 memory aids for complex lists or criteria
8. Recommended study schedule based on [time available]
9. Key references and guidelines to review (cite specific guideline names and years)
Space your study sessions using spaced repetition — review the high-yield facts at day 1, day 3, day 7, and day 14 for maximum retention. Tools like Anki can automate this schedule.
12

Insurance Pre-Authorization Letter

Draft a medical necessity letter for insurance pre-authorization.

Patient information: [age, gender — anonymized for AI use]
Insurance company: [payer name]
Procedure/treatment/medication requiring authorization: [specific name, CPT/HCPCS code if known]
Diagnosis: [primary diagnosis with ICD-10 code]
Clinical justification: [describe why this treatment is medically necessary — include symptom severity, functional limitations, and impact on daily life]
Conservative treatments already tried: [list prior treatments with dates, duration, and outcomes]
Relevant lab/imaging results: [summarize key findings that support medical necessity]
Clinical guidelines supporting this treatment: [cite specific guidelines — e.g., ACR Appropriateness Criteria, NCCN Guidelines, AUA Guidelines]
Peer-reviewed literature supporting this treatment: [cite 2-3 studies if available]
Urgency: [routine | urgent — specify why]
Requesting provider: [name, credentials, NPI — leave as placeholder fields]

Letter requirements:
- Address to Medical Director of the insurance company
- Open with a clear statement of what is being requested and why
- Present clinical evidence in a logical progression: diagnosis → failed conservative treatment → medical necessity → guideline support
- Use clinical language appropriate for peer-to-peer review
- Reference specific plan coverage criteria if known
- Include a peer-to-peer review availability statement
- Close with a request for timely determination citing applicable state/federal timeliness requirements
- Format as a formal medical letter with letterhead placeholder
Include specific guideline citations with page numbers or recommendation grades — authorization reviewers are more likely to approve when clinical guidelines are explicitly referenced rather than generally mentioned.

How to Use These Prompts

Fill in every [bracketed] placeholder with your specific clinical context before submitting to ChatGPT or your preferred AI tool. For recurring documentation tasks like SOAP notes and patient handouts, save customized template versions in your EHR or use Prompt Anything Pro to trigger them directly from any clinical platform. Critical reminder: never input identifiable patient information into public AI tools — always anonymize before prompting, and have a qualified healthcare professional review all AI-generated clinical content before use.

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