AI Prompts for Clinical Notes gives US clinicians, scribes, and healthcare documentation teams structural prompts for the notes, letters, instructions, and handoff communications that surround patient care — SOAP notes, discharge summaries, specialist referral letters, patient-facing instructions, and prior authorization narratives.
These prompts are designed for structure and language, not clinical judgment. They are most useful when you have the facts and need a clean, professional way to organize and present them — for a scribe building a draft structure, a clinician polishing documentation efficiency, or a care team standardizing communication formats.
Critical: never paste real patient data (name, DOB, MRN, diagnosis, medications, or any PHI) into a public AI tool. HIPAA applies to draft clinical documentation. Use your EHR's native AI feature with a Business Associate Agreement, or your organization's approved enterprise AI tool. Every AI-assisted clinical output requires clinician review and attestation before entering the medical record.
AI Prompts for Clinical Notes gives US clinicians, scribes, and healthcare documentation teams structural prompts for the notes, letters, instructions, and handoff communications that surround patient care — SOAP notes, discharge summaries, specialist referral letters, patient-facing instructions, and prior authorization narratives.
These prompts are designed for structure and language, not clinical judgment. They are most useful when you have the facts and need a clean, professional way to organize and present them — for a scribe building a draft structure, a clinician polishing documentation efficiency, or a care team standardizing communication formats.
Critical: never paste real patient data (name, DOB, MRN, diagnosis, medications, or any PHI) into a public AI tool. HIPAA applies to draft clinical documentation. Use your EHR's native AI feature with a Business Associate Agreement, or your organization's approved enterprise AI tool. Every AI-assisted clinical output requires clinician review and attestation before entering the medical record.
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Read moreCopy any prompt below, paste into ChatGPT, Claude, Gemini, or Copilot, and fill in the placeholders in [brackets].
Act as a US clinical documentation specialist. Build a SOAP note template structure for a [specialty — e.g., internal medicine / family medicine / urgent care] outpatient visit for a patient presenting with [chief complaint placeholder]. Include: Subjective (CC, HPI with OLDCARTS, ROS by relevant system, PMH/PSH/FH/SH/meds/allergies), Objective (vitals, exam by system), Assessment (problem list with differential), Plan (by problem). Use [PATIENT] as placeholder — no real PHI.
Act as a US clinical documentation specialist. Write patient discharge instructions for [condition — e.g., uncomplicated UTI / mild concussion / first-time gout attack] at a 6th-to-8th grade US reading level. Include: what happened and what we treated, medications going home (generic names only, with instructions), what to expect over the next 1-2 weeks, warning signs to return to the ER or call the office, and a follow-up appointment placeholder.
Act as a US clinical documentation specialist. Build a handoff SBAR (Situation/Background/Assessment/Recommendation) framework for transferring a [patient type — e.g., post-op surgical patient / ICU patient being downgraded / overnight admit from ED] between care teams. Use [PATIENT] placeholders. Include all elements of a safe handoff per Joint Commission standards.
Act as a US clinical documentation specialist. Build a discharge summary template for a [specialty] hospitalization. Include: admission date/reason, principal diagnosis, relevant procedures, hospital course narrative structure, discharge condition, medications at discharge (with changes noted), follow-up appointments, and pending results requiring outpatient follow-up. PHI placeholders throughout.
Act as a US clinical documentation specialist. Write a specialist referral letter template from [referring specialty — e.g., primary care / ED] to [receiving specialty — e.g., cardiology / orthopedics / neurology]. Include: reason for referral, relevant clinical history (placeholder), pertinent findings, recent labs/imaging (placeholder), specific question or request for the specialist, and urgency level. Professional, concise, under 300 words.
Act as a US clinical documentation specialist. Build a prior authorization narrative letter for [procedure or medication — e.g., MRI lumbar spine / new biologic for psoriasis / bariatric surgery]. Include: diagnosis codes (placeholder), clinical justification, conservative treatments already tried and failed, medical necessity argument, and supporting guideline or evidence reference. Insurance-facing language.
Act as a US clinical documentation specialist. Build a telephone encounter note template for a patient calling about [concern — e.g., medication side effect / symptom question / test result]. Include: caller identification and relationship to patient, complaint/question, pertinent history reviewed, clinical assessment and triage, advice given, follow-up instructions, and clinician attestation line. PHI placeholders.
Act as a US clinical documentation specialist. Build a problem list update template for a complex patient with [number] active problems. Show the correct format for: active vs inactive designation, onset date notation, ICD-10 category (placeholder), and the narrative note updating each problem after a visit. Include a standing-order review line and a preventive care due section.
Act as a US clinical documentation specialist. Build an incoming medication reconciliation summary template for a [setting — ED admit / elective surgical admit / post-op]. Include: source of medication list (patient report / pharmacy / PCP), each medication with dose/frequency/last taken, discrepancies identified, allergies verified, and responsible clinician sign-off. PHI placeholders.
Act as a US clinical documentation specialist. Write a patient-facing explanation of [condition — e.g., hypertension / type 2 diabetes / GERD] at an 8th-grade reading level suitable for a US primary care patient education handout. Cover: what it is in plain language, why it matters, what causes or worsens it, what lifestyle changes help, what the medications do (generic category only), and when to call the doctor.
Act as a US clinical documentation specialist. Build an ED-to-inpatient admission handoff note template. Include: one-liner (age/sex/chief complaint), HPI summary, ED course (workup performed, treatments given, response), current status (vitals, exam), working diagnosis, and the specific plan being handed to the admitting team. Safety handoff prompts included.
Act as a US clinical documentation specialist. Build a post-operative check note template for [procedure type — e.g., laparoscopic cholecystectomy / total knee replacement / appendectomy]. Include: post-op day, subjective (pain score, ambulation, PO intake, voiding), objective (vitals, wound check, drain output if applicable), assessment (expected vs concerning findings), and plan (diet, activity, medications, next check).
Act as a US clinical documentation specialist. Build a code status documentation template for a goals-of-care conversation. Include: who was present, patient decision-making capacity assessment, code status decision reached (full code / DNR / DNI / comfort measures), patient/family understanding confirmed, clinical rationale, and plan for re-evaluation. This conversation and documentation protects both patient and clinician.
Act as a US clinical documentation specialist. Build a wellness visit (Annual Wellness Visit or Annual Physical) documentation template for a US [age group: adult / geriatric] patient. Include: preventive care screening items due (with age/sex-appropriate list), immunization review, chronic disease management summary, behavioral health screening, advance directive discussion, and patient education topics covered. PHI placeholders.
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Tell the AI who the output is for and what real workplace situation it should support.
Act as a federal program analyst preparing a plain-language memo for agency leadership.Name the exact deliverable: email, memo, checklist, SOP, meeting recap, training note, or status update.
Format the answer as a one-page briefing with bullets, risks, and next actions.Specify whether the output should sound official, executive-ready, plain-language, or employee-friendly.
Use a professional, neutral, public-sector tone suitable for a US agency audience.For government, HR, finance, healthcare, legal, and compliance workflows, accuracy guardrails matter more than clever wording.
Use only the facts below, flag assumptions, and include a section for items that need verification.Ask the model to surface uncertainty so the user can verify sensitive or official information before using it.
Before finalizing, list compliance risks, missing details, and any claims that need human review.Tested on this prompt category as of mid-2026. Ratings reflect quality for AI Prompts for Clinical Notes specifically.
| Model | Best for | Rating |
|---|---|---|
| ChatGPT (GPT-4o / GPT-5) | Everyday drafting and summaries | |
| Claude Sonnet 4.5 | Long documents and policy | |
| Gemini 2.5 Pro | Grounded in Google workspace | |
| Copilot (M365) | Office 365 integration | |
| Perplexity | Answers with citations |
Ratings reflect suitability for this category. Free tiers available on all listed models. Last tested May 2026 by PromptSpace editors.
Only with completely de-identified or fictitious data. Real patient names, dates of birth, MRNs, diagnoses, or clinical history in a public AI tool is a potential HIPAA violation. For actual documentation, use your EHR's native AI feature with a BAA, or your organization's HIPAA-compliant enterprise AI.
Yes, always. Any AI-assisted documentation that enters the medical record must be reviewed, edited as clinically necessary, and formally attested by the responsible clinician. AI does not practice medicine. The attestation makes it the clinician's documentation — the clinician is professionally responsible for its accuracy.
Patient-facing discharge instructions (high volume, standardized content), prior authorization narratives (formulaic but time-consuming), specialist referral letters (consistent structure needed), and note templates for common chief complaints. These are high-frequency, high-consistency-benefit tasks.
Add your specialty, practice setting, and EHR explicitly to every prompt. "Outpatient family medicine note in Epic" produces different output than "inpatient hospitalist note in Cerner." The more specific your context, the less editing the output needs to match your documentation standards.
Significantly. AI consistently translates clinical language to plain English at a specified reading level — something that's difficult for busy clinicians to do from scratch. Patient instructions and education materials are the lowest-risk, highest-value documentation task for AI in healthcare settings.
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Use these prompts with de-identified or fictitious patient details to build your documentation templates and standard structures. Replace the placeholder terms with real clinical details only inside your HIPAA-compliant documentation environment — not in a public AI tool.
For patient-facing instructions, these prompts work well in the public AI context because they use condition names and general guidance rather than individual patient data. Draft the instruction template using the condition and reading-level prompts, then have the clinical team review and personalize before handing to the patient.
Public AI tools (ChatGPT, Claude, Gemini, Copilot consumer versions) do not have HIPAA Business Associate Agreements. Entering real patient identifiers, diagnoses, or clinical history into these tools is a potential HIPAA violation — even for training or drafting purposes. Use placeholders throughout.
For AI-assisted documentation that will enter the medical record, the clinician must review, edit as needed, and formally attest. AI does not practice medicine; AI-generated documentation that a clinician attests to becomes the clinician's documentation. Ensure your organization has a clear AI documentation policy before implementing.
For inpatient notes, add the hospital context: "inpatient adult medicine attending note format." For outpatient, add the visit type: "outpatient 15-minute established patient office visit note." For procedural specialties, the SOAP format often does not apply — specify the procedure note format your EHR and credentialing require.
For Epic, Cerner, or Athena note formats, add the system name and any macro or SmartText conventions your organization uses. AI output that matches your EHR's expected structure requires less editing and faster sign-off.
The best use of AI in clinical documentation is building consistent structure templates so clinicians don't start from a blank note every time. A well-built template with the right sections, the right order, and the right clinical language for your specialty reduces documentation time by 30-40% without any accuracy compromise.
For patient-facing instructions, AI is particularly valuable because it converts technical clinical language into plain English consistently across your practice. A consistent 8th-grade reading level in your discharge instructions improves patient comprehension and reduces phone calls.
Only with completely de-identified or fictitious data. Real patient names, dates of birth, MRNs, diagnoses, or clinical history in a public AI tool is a potential HIPAA violation. For actual documentation, use your EHR's native AI feature with a BAA, or your organization's HIPAA-compliant enterprise AI.
Yes, always. Any AI-assisted documentation that enters the medical record must be reviewed, edited as clinically necessary, and formally attested by the responsible clinician. AI does not practice medicine. The attestation makes it the clinician's documentation — the clinician is professionally responsible for its accuracy.
Patient-facing discharge instructions (high volume, standardized content), prior authorization narratives (formulaic but time-consuming), specialist referral letters (consistent structure needed), and note templates for common chief complaints. These are high-frequency, high-consistency-benefit tasks.
Add your specialty, practice setting, and EHR explicitly to every prompt. "Outpatient family medicine note in Epic" produces different output than "inpatient hospitalist note in Cerner." The more specific your context, the less editing the output needs to match your documentation standards.
Significantly. AI consistently translates clinical language to plain English at a specified reading level — something that's difficult for busy clinicians to do from scratch. Patient instructions and education materials are the lowest-risk, highest-value documentation task for AI in healthcare settings.