AI-Powered Clinical Notes: SOAP, BIRP, DAP, and PIE — What They Are and How to Automate Them
Therapists spend anywhere from 15 to 45 minutes writing progress notes after each session. Multiply that across a full caseload and documentation eats hours every week — hours that could go toward clients, supervision, or just not burning out.
AI note generation can cut that time to under a minute. But here's the thing most AI note tools get wrong: they only support SOAP. If your practice, clinic, or licensing board requires BIRP, DAP, or PIE format, you're stuck reformatting by hand — which defeats the purpose.
EmpatiQ supports all four. Here's how each format works, who uses it, and how AI handles the differences.
SOAP Notes
Subjective – Objective – Assessment – Plan
SOAP is the most widely recognized clinical documentation format, originally developed for medical settings and adopted across mental health. It's structured around four sections:
- Subjective: What the client reports — their words, feelings, complaints, and self-assessment.
- Objective: Observable data — clinician observations, test scores, behavioral cues, appearance, affect.
- Assessment: Clinical interpretation — diagnosis, progress toward goals, patterns, risk factors.
- Plan: Next steps — treatment adjustments, homework, referrals, session frequency, follow-up actions. Who uses SOAP: Hospitals, psychiatric facilities, multidisciplinary teams, insurance-heavy practices. SOAP is the default when a clinic doesn't specify another format.
Why AI works well here: SOAP's clear four-part structure maps directly to what happens in a session. An AI model can separate client-reported content from clinician observations and generate each section with minimal editing.
BIRP Notes
Behavior – Intervention – Response – Plan
BIRP is built around what the clinician did in session, making it popular in settings where treatment interventions need explicit documentation.
- Behavior: Observable client behaviors and presentation — what you saw and heard.
- Intervention: Specific therapeutic techniques and strategies used during the session.
- Response: How the client responded to those interventions — engagement, resistance, breakthroughs.
- Plan: Goals for the next session, homework, treatment modifications. Who uses BIRP: Community mental health centers, substance abuse treatment programs, Medicaid-funded services, and agencies that need to justify interventions for reimbursement.
Why AI works well here: BIRP requires documenting the link between intervention and response. AI can identify therapeutic techniques mentioned in a session transcript (CBT reframing, motivational interviewing, grounding exercises) and pair them with client reactions automatically.
DAP Notes
Data – Assessment – Plan
DAP is a streamlined format that combines subjective and objective information into a single "Data" section, making it faster to write while still meeting documentation standards.
- Data: Everything observed and reported — client statements, clinician observations, session content, and relevant facts combined in one section.
- Assessment: Clinical interpretation of the data — progress, setbacks, diagnostic impressions, risk evaluation.
- Plan: Treatment direction, next session focus, referrals, and follow-up tasks. Who uses DAP: Private practice therapists, counseling centers, school counselors, and clinicians who want thorough documentation without the overhead of separating subjective from objective.
Why AI works well here: DAP's merged data section is actually easier for AI to generate because it doesn't need to classify every piece of information as subjective or objective — a distinction that often feels arbitrary in therapy sessions anyway.
PIE Notes
Problem – Intervention – Evaluation
PIE is the most concise format, designed for settings where documentation needs to be efficient and problem-focused.
- Problem: The specific issue addressed in the session — not the full diagnosis, but the presenting problem worked on that day.
- Intervention: What the clinician did to address that problem.
- Evaluation: Whether the intervention was effective — client progress, remaining barriers, outcome of the session. Who uses PIE: Nursing, inpatient behavioral health, crisis settings, and high-volume practices where brevity matters. Also common in settings where each session targets a specific, documented problem.
Why AI works well here: PIE's tight structure forces focus. AI can identify the primary problem discussed, match it to the intervention used, and evaluate the outcome — producing a clean, auditable note in seconds.
Which Format Should You Use?
There's no universally correct answer. It depends on your setting, payer requirements, and licensing board:
| Format | Best For | Strengths |
|---|---|---|
| SOAP | Medical/psychiatric settings, insurance billing | Universal recognition, comprehensive |
| BIRP | Community mental health, substance abuse, Medicaid | Intervention-focused, reimbursement-friendly |
| DAP | Private practice, counseling centers | Faster to write, flexible |
| PIE | Inpatient, crisis, high-volume | Concise, problem-focused |
Many clinicians learn SOAP in training and never realize their actual practice setting would be better served by another format. If your agency requires BIRP and you've been converting SOAP notes by hand — that's exactly the problem AI should solve.
How EmpatiQ Handles This
EmpatiQ generates notes in all four formats from the same session. You record or upload a session, choose your format, and get a structured draft in seconds. Switch formats with one click — useful if you work across settings or want to compare how the same session looks in SOAP versus BIRP.
But notes are just one part of the platform. EmpatiQ also includes an AI clinical supervisor for case consultation, simulated patient sessions for practicing difficult conversations, and interactive training courses. The notes feature is free to try — no signup wall.
Try it now: empatiqapp.com
EmpatiQ is an AI-powered clinical training and documentation platform for mental health professionals. Built by a team combining clinical psychology and healthcare IT experience.