Your first patient interview
shouldn't be your first time asking the questions.
EncounterReady is a voice-based AI simulation platform for NP students. You speak. The AI patient responds. You reason through what you heard. You write the note. You get feedback. Repeat until you're ready.
Student at a school that uses EncounterReady? Enter your access code here →
Two semesters of Shadow Health. Then your first real patient — and you've never had to actually listen for an answer.
Shadow Health, i-Human, and most clinical simulation tools use a text interface: you type a question, read a text response. It builds a skill. Just not the right one.
Real patient encounters happen by voice. The patient talks over you, gives vague answers, uses their own words for symptoms, and expects you to follow up. You have to listen, think, and respond in real time — while managing silences, building rapport, tracking what you still need to ask, and already forming a differential in your head.
EncounterReady is built around that reality. You speak through your microphone. The AI patient responds by voice, in real time, with a distinct personality and a clinical history they won't give up easily. Then you work through what you heard, document it from memory, and get feedback on all of it.
The Full Clinical Encounter
Faculty assign the workflow appropriate for your course. Physical exam students use phases 1, 3, and 4. Clinical reasoning students use all four.
Interview the Patient
Speak naturally through your microphone. The AI patient responds in real time with a personality-matched voice. Vague at first. Specific only when you ask the right follow-up. Each interview runs 5 to 20 minutes, depending on the time limit you set.
Build Your Differential
Before you write anything, work through what you heard. What's on your differential? What are you ruling in or out, and why? EncounterReady walks you through the reasoning — the same structured thinking you'll do at the bedside.
Write Your Clinical Note
When the interview ends, the transcript disappears. Write your HPI, PMH, medications, allergies, family history, and social history from memory. This is how real documentation works: you recall what you heard, then you write it.
Get Qualitative Feedback
An AI evaluator reviews your interview, your reasoning, and your documentation. You get a competency rating — Proficient, Competent, Developing, or Beginning — with specific strengths and growth areas drawn from your actual encounter. No scores. No percentages. Useful feedback.
12 Patient Scenarios Across 3 Clinical Settings
Designed by an experienced cardiology NP for nurse practitioner education
Acute Care
High-acuity patients in ED and inpatient settings. Urgent history-taking under time pressure.
- Acute cholecystitis (45F, severe abdominal pain)
- Subarachnoid hemorrhage (34M, thunderclap headache)
- Pulmonary embolism (62M, post-surgical dyspnea)
- Pyelonephritis (29F, fever and flank pain)
Cardiology
Cardiac complaints from stable angina to acute decompensated heart failure. Cardiovascular history elicitation.
- Stable angina (58M, exertional chest tightness)
- Decompensated heart failure (72F, orthopnea and edema)
- Palpitations with stimulant use (48M, racing heart)
- SVT vs panic disorder (32F, episodic tachycardia)
Primary Care
Common outpatient presentations. Thorough history-taking to reach a diagnosis, including sensitive topics.
- Hypothyroidism (52F, fatigue and weight gain)
- New hypertension (44M, headaches and high BP)
- Major depression with passive SI (28F, sadness and insomnia)
- New-onset type 2 diabetes (60M, polyuria and polydipsia)
For NP Students
What you practice depends on where you are in the program.
In your physical exam course, you focus on history-taking. Interview the patient, write your note from memory, get feedback on what you asked and what you missed.
In your clinical practicum or clinical reasoning course, you use the full workflow — interview, differential, note, feedback. The same platform, the same patients, more of the encounter.
- All 12 patient scenarios across 3 clinical settings
- Repeat any simulation as many times as you want
- Feedback on your interview, reasoning, and documentation
- Adjustable interview time limits
- $75 per semester. No real name required to sign up.
For Nursing Faculty
Assign the history-taking workflow in your physical exam course. Assign the full encounter workflow — including differential diagnosis — in your clinical reasoning course. Same platform, same dashboard, different workflows by course.
No scheduling. No training actors. No room reservations. Setup takes 5 minutes.
- Assign specific workflows by course level
- Manage up to 5 classes from one dashboard
- View all student attempts with transcripts and ratings
- Export results as CSV for program assessment
- FERPA compliant. Zero student PII on our servers.
- $75 per seat. Includes faculty dashboard. Add seats mid-semester.
Practicing clinician? EncounterReady's clinical reasoning workflow is also used by NPs and PAs who want to sharpen their diagnostic thinking. Same platform, same $75/semester, no program enrollment required.
Built by someone who has interviewed thousands of patients.
Paul Logan, PhD, CRNP, ACNP-BC was among the first acute care nurse practitioners in the country, trained at the University of Pennsylvania in 1994. He has practiced cardiology nursing for over 30 years at WellSpan Health, directed the AG-ACNP Program at Saint Joseph's University, and authored the first comprehensive ACNP textbook in 1999.
He built EncounterReady because he knows where NP students struggle — and it is not pharmacology or pathophysiology. It is the patient encounter. Knowing what to ask. Knowing when to follow up. Forming a differential while the patient is still talking. Getting comfortable with silence. Those skills require practice, and they cannot be developed by typing into a text box.
EncounterReady is that practice.
Feedback, not a score.
EncounterReady uses four qualitative competency levels: Proficient, Competent, Developing, and Beginning. Every evaluation leads with what you did well, frames growth areas as "next time, try..." rather than deficiencies, and cites specific moments from your interview and reasoning.
The goal is growth, not anxiety. A student who runs the same case three times and improves each time is exactly what this is designed for. Faculty see all attempts per student, including the progression.
FERPA Compliant by Design
Zero Student PII
School students log in with anonymous word-combination access codes. Student names never leave the faculty's browser and are never transmitted to our servers.
Client-Side Roster Processing
When faculty upload a class roster, JavaScript in the browser generates the code-to-name mapping. Only the anonymous codes go to the server. Faculty keep the mapping spreadsheet.
BAA Available
We provide a Business Associate Agreement template for institutional compliance offices. No PHI or student PII is collected for school accounts. Request a BAA.
Ready to practice?
Individual access for students. Class setup for faculty. Both $75 per semester. No contracts for individual plans.
What Is EncounterReady?
EncounterReady is an AI-powered clinical encounter simulation platform built specifically for nurse practitioner (NP) education. Unlike text-based simulation tools such as Shadow Health or i-Human Patients, EncounterReady uses real-time voice conversation. Students speak naturally through their microphone and hear the AI patient respond with a realistic voice — the same way real encounters unfold.
The platform supports two workflows depending on the course. In history-taking courses, students interview the patient, write a clinical note from memory, and receive qualitative feedback. In clinical reasoning courses, students use the full encounter workflow: voice interview, differential diagnosis reasoning, clinical documentation, and feedback on all three. Faculty assign the appropriate workflow through the EncounterReady dashboard.
EncounterReady includes 12 standardized patient scenarios across three clinical settings: Acute Care, Cardiology, and Primary Care. Each AI patient has a distinct personality, clinical history, and set of findings that students must elicit through skilled interviewing. Qualitative feedback uses four competency levels: Proficient, Competent, Developing, and Beginning.
EncounterReady was developed by Paul Logan, PhD, CRNP, ACNP-BC, one of the first acute care nurse practitioners in the United States (University of Pennsylvania, 1994), with over 30 years of cardiology NP practice and NP program leadership at Saint Joseph's University.