Healthcare AI · HIPAA Compliant · Clinical Documentation

AI Automation for Healthcare Clinicians — Save Hours on Documentation

Clinicians spend 35–40% of their workday on paperwork. We build HIPAA-compliant AI tools that automate clinical documentation — voice-to-SOAP-note pipelines, AI-assisted charting, and EHR integrations — so clinicians can focus on patients.

HIPAA Compliant
Voice-to-note in seconds
SLP, OT, PT, Behavioral Health
EHR integration available

The Documentation Problem

35–40%

of a clinician's workday is spent on documentation

15–20 min

average time to write one SOAP note manually

260+ hrs

per year saved by SLPeace users after implementation

Clinical documentation isn't going away — but the time it takes can be cut by 80% or more. The same session information a clinician would spend 20 minutes typing can be dictated in 90 seconds and converted to a fully formatted, billable note by AI. This isn't a future promise — it's what SLPeace does today for speech-language pathologists.

Specialties We Serve

Speech-Language Pathologists (SLPs)

SOAP notes, progress notes, IEP documentation, discharge summaries

Live product: SLPeace

Occupational Therapists (OTs)

SOAP, functional assessments, home modification reports, ADL documentation

Architecture validated

Physical Therapists (PTs)

SOAP notes, initial evaluations, functional outcomes, discharge planning

Architecture validated

Behavioral Health / Psychiatric NPs

DAP notes, BIRP notes, mental status exams, treatment plan updates

Architecture validated

HIPAA Compliance, Built In

We don't treat HIPAA as a checkbox. Every healthcare product we build is engineered with compliance as a first-class requirement — not added at the end.

AES-256 encryption at rest for all PHI
TLS 1.3 in transit for all data transfers
BAAs executed with OpenAI, Anthropic, and AWS
Role-based access controls with session management
Audit logs for all PHI access events
Minimum necessary data access principles
No PHI stored beyond clinical session (configurable)
Secure data deletion and retention policies
Live Case Study

SLPeace — 260+ Hours Saved Per Year for SLPs

SLPs were spending 3+ hours per day writing SOAP notes after sessions. We built SLPeace — a HIPAA-compliant voice-to-SOAP-note pipeline. The clinician dictates a 60-second session summary, the system returns a formatted, billable clinical note in under 10 seconds.

Stack: AWS · OpenAI Whisper · GPT · MongoDB · React · Node.js

Read the Full Case Study

Frequently Asked Questions

Is your AI documentation tool HIPAA compliant?

Yes. All AI tools we build for healthcare clients include the required technical safeguards: encryption at rest and in transit (AES-256, TLS 1.3), audit logging, role-based access controls, session timeouts, and Business Associate Agreements (BAAs) with all AI providers including OpenAI and Anthropic. We do not store PHI beyond the session unless explicitly required and consented.

Which specialties can use your AI documentation tool?

Our primary experience is with Speech-Language Pathologists (SLPs) through SLPeace, but the same voice-to-note architecture works for Occupational Therapists (OTs), Physical Therapists (PTs), Psychiatric Nurse Practitioners, Behavioral Health clinicians, and Home Health Aides. Each specialty gets note formats tailored to their documentation standards (SOAP, DAP, BIRP, progress notes).

How accurate is the AI note generation?

In testing with SLPeace, clinicians reported that 85–90% of AI-generated notes required no edits or only minor tweaks. Accuracy depends heavily on audio quality and the specificity of the verbal summary. We train the system on clinical terminology and note formats specific to your specialty to maximize accuracy out of the box.

Can it integrate with our EHR system?

Yes, for major EHR platforms. We've built integrations with SimplePractice, TheraNest, and custom EHR APIs. Integration complexity varies — a read-only integration (import client list) takes days, while a bi-directional sync (write notes directly to the chart) takes 2–4 weeks depending on the EHR's API.

What does a clinician's workflow look like after implementing this?

After a session, the clinician opens the app, taps record, and gives a 60–90 second verbal summary of what happened in the session. The AI generates a formatted SOAP note in 5–10 seconds. The clinician reviews, makes any minor edits, and submits. The entire documentation process goes from 15–20 minutes per session to under 3 minutes.

Let's automate your documentation

Whether you're a solo clinician or a group practice, we'll scope a solution that fits your workflow and budget.