AI Prompts for Doctors and Healthcare Professionals
Okara

AI Prompts for Doctors and Healthcare Professionals

Enhance clinical decision-making, summarize patient notes, and review medical literature securely.

Drafting

SOAP Note Converter

Convert messy clinic notes into a structured SOAP note.

"Convert the following unstructured clinic visit notes into a properly formatted SOAP note. Sample notes: '45yo M here for f/u HTN. BP 148/92 today, was 155/95 last visit. Taking lisinopril 10mg but admits missing doses 2-3x/week. No HA, no chest pain, no edema. Lungs clear. Plan to increase lisinopril to 20mg, recheck in 4 weeks, ordered BMP and lipid panel.' Structure this into Subjective, Objective, Assessment, and Plan sections with proper medical formatting."

Communication

Patient Message Simplifier

Rewrite clinical explanations at an 8th-grade reading level.

"Rewrite the following clinical explanation for a patient portal message at an 8th-grade reading level: 'Your recent echocardiogram demonstrates moderate mitral regurgitation with a left ventricular ejection fraction of 45%, indicating mild systolic dysfunction. We recommend initiating an ACE inhibitor and scheduling a follow-up transthoracic echocardiogram in 6 months to assess for interval change. Please restrict sodium intake to less than 2g daily and monitor for symptoms of volume overload including lower extremity edema and orthopnea.' Keep all the important medical information but make it understandable."

Analysis

Differential Diagnosis Ranker

Rank top differentials with 2-sentence justifications.

"Rank the top 5 differential diagnoses for a 30-year-old female presenting with 3 months of fatigue, bilateral arthralgias in the hands and knees, a malar rash that worsens with sun exposure, and proteinuria on urinalysis. For each diagnosis: (1) state the likelihood (high/moderate/low), (2) justify in exactly 2 sentences why it fits or doesn't fit, (3) list the single most important test to confirm or rule it out. End with a recommended initial lab panel that covers all 5 differentials efficiently."

Communication

Clinical Handoff Summary

Generate a structured I-PASS handoff for shift change.

"Generate a structured I-PASS clinical handoff summary for a night shift covering 3 patients: (1) a 72-year-old male post-CABG day 2 with new-onset atrial fibrillation on amiodarone drip, (2) a 55-year-old female admitted for COPD exacerbation on BiPAP with improving blood gases, and (3) a 28-year-old male with DKA resolving on insulin drip transitioning to subcutaneous. For each patient use the I-PASS format: Illness severity, Patient summary, Action list, Situation awareness, and Synthesis by receiver."

Drafting

Prior Auth Appeal Generator

Draft a medical necessity appeal citing guideline-based evidence.

"Draft a letter of medical necessity to appeal an insurance denial for a lumbar MRI in a 45-year-old patient with 6 weeks of progressive left-sided L5 radiculopathy, positive straight leg raise test, and failure of conservative therapy including 4 weeks of physical therapy and a course of NSAIDs. Cite specific clinical practice guidelines (ACP, NASS) that support imaging at this stage, explain why further delay poses risk of permanent nerve damage, and request expedited review."

Drafting

Medication Reconciliation Template

Reconcile a complex medication list at discharge.

"Perform a medication reconciliation for a 70-year-old female being discharged after a 5-day admission for acute heart failure exacerbation. Home medications: Metoprolol succinate 50mg daily, Lisinopril 10mg daily, Atorvastatin 40mg daily, Aspirin 81mg daily, Metformin 1000mg BID. Hospital changes: Metoprolol increased to 100mg, Lisinopril changed to Sacubitril/Valsartan 24/26mg BID, Furosemide 40mg daily added, Spironolactone 25mg daily added. Create a clear reconciliation table showing: medication, home dose, discharge dose, reason for change, and patient instructions."

Analysis

Polypharmacy Interaction Check

Screen a complex medication list for interactions.

"Screen the following medication list for clinically significant drug-drug interactions and provide management recommendations: Warfarin 5mg daily, Amiodarone 200mg daily, Simvastatin 40mg daily, Lisinopril 10mg daily, Aspirin 81mg daily, and Omeprazole 20mg daily. For each interaction found, rate the severity (major/moderate/minor), explain the mechanism, and recommend specific dose adjustments or monitoring parameters. Flag any combinations that should be changed immediately."

Drafting

Heart Failure Discharge Summary

Draft a discharge summary for an acute heart failure patient.

"Draft a hospital discharge summary for a 65-year-old male admitted for acute heart failure exacerbation with reduced ejection fraction (EF 30%). He was treated with IV diuretics and transitioned to oral medications. Include: hospital course summary, final diagnosis list, medication reconciliation with Carvedilol, Sacubitril/Valsartan, Furosemide, and Spironolactone, follow-up instructions within 7 days, daily weight monitoring instructions, 2g sodium diet, fluid restriction, and specific red flags that should prompt an ER visit."

Research

Empiric Antibiotic Selection

Quick-reference guide for empiric antibiotic choice in common infections.

"Create a quick-reference guide for empiric antibiotic selection for the following common infections in adults: community-acquired pneumonia, uncomplicated UTI, cellulitis, acute otitis media, and acute bacterial sinusitis. For each condition, list the first-line agent with exact dose and duration, the preferred alternative for patients with a penicillin allergy, when to escalate therapy, and one key clinical pearl. Base recommendations on current IDSA guidelines."

Communication

Cardiology Referral Letter

Write a referral letter for a patient with aortic stenosis.

"Write a referral letter to a cardiologist for a 72-year-old patient with a newly discovered systolic murmur, exertional dyspnea on climbing one flight of stairs, and a recent echocardiogram showing moderate aortic stenosis with a valve area of 1.2 cm squared and a mean gradient of 28 mmHg. Include relevant history, current medications, functional status, and a specific clinical question: whether the patient is a candidate for valve intervention given their symptom progression."

Communication

Patient Guide: Type 2 Diabetes

Create an easy-to-understand guide for a newly diagnosed patient.

"Create a 1-page patient education guide for a newly diagnosed Type 2 Diabetic. Explain what the condition is, why blood sugar control matters (using a simple analogy), the role of diet and exercise with 3 specific actionable tips, how Metformin works and when to take it, the 3 most common side effects and how to manage them, and exactly when to call the doctor. Use simple, non-medical language at a 6th-grade reading level. Format with clear headings and bullet points."

Strategy

Sepsis 1-Hour Bundle Checklist

Create a bedside checklist based on Surviving Sepsis guidelines.

"Create a concise bedside checklist for the 1-hour sepsis bundle based on the latest Surviving Sepsis Campaign guidelines. Include specific targets for: lactate measurement and repeat timing, blood culture collection (number of sets and timing relative to antibiotics), broad-spectrum antibiotic selection by suspected source and timing target, IV crystalloid fluid volume (30 mL/kg) and reassessment criteria, and vasopressor initiation criteria with MAP target. Format as a step-by-step checklist with checkboxes that a nurse or resident can follow in real time."

How to Use These AI Prompts for Healthcare Providers

Getting started with these healthcare providers-specific prompts is simple. Each prompt is designed to address common challenges and workflows in your field while maintaining the highest standards of data privacy.

1

Select Your Prompt

Browse the prompts above and choose one that matches your current task or workflow.

2

Copy or Try in Okara

Click "Copy" to use in any AI tool, or "Try on Okara" for a secure, private chat experience.

3

Customize as Needed

Adapt the prompt with your specific details, context, or requirements for best results.

Which Open-Source AI Models are Best for Healthcare Providers

Not all AI models are created equal. For healthcare providers, certain models excel at specific tasks. Our library is optimized for top-tier models like DeepSeek R1, Mistral Large 3, and Qwen 2.5 72B.

With Okara, you can seamlessly switch between 20+ models to find the perfect match for your specific prompt.

Fast Inference
Low latency responses
Enterprise Security
Private & confidential
Advanced Reasoning
Complex problem solving
Top Models
Access latest models

Private and Secure AI Prompting With Okara

For healthcare providers, data privacy isn't optional—it's essential. Only Okara gives you the freedom to use open-source AI with the guarantee that your data remains yours.

Zero Data Training

Your prompts and conversations are never used to train AI models. Your intellectual property stays yours.

End-to-End Encryption

All conversations are encrypted in transit and at rest, ensuring complete confidentiality.

Local Data Control

Choose where your data is stored and processed. Maintain compliance with industry regulations.

Ready to try these prompts?

Start a secure chat on Okara and experience private AI with 20+ open-source models.

Get started for Free