What is Freed AI?
Freed is an AI medical scribe that records patient conversations and generates clear, accurate clinical notes. It integrates with the EHR you already use via a single click, transferring notes directly into the patient record. The platform offers pre‑visit patient summaries and on‑demand clinical answers to support timely decision‑making.
It automates the creation of ICD‑10 and CPT codes, patient instructions, and referral letters, reducing after‑hours documentation. Freed is designed for small and mid‑size clinics and is HIPAA‑compliant, storing no patient recordings. The system is trained on clinician input to deliver accurate, specialty‑specific templates.
⭐ How to use Freed?
Using Freed to transcribe medical notes is as simple as the following 3 steps:
- Capture patient visit: Select “Capture visit”’ when your visit begins. Freed can listen for up to two hours, whether it's a virtual or office visit.
- Edit visit notes: Select “End visit” and view your completed SOAP note in about a minute. Edit to help Freed learn your style.
- Sign off notes: Send simple patient instructions, and copy completed notes into any EHR of your choice.
Freed AI pricing Paid
Verify on the official pricing page.
View plansFreed AI user reviews
Based on 31 reviews, 71.0% of users recommend Freed AI, rated highly for quality results.
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Freed AI's key features
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EHR integration one-click transfer
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Auto-generates ICD-10 and CPT codes
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Generates patient summaries before visits
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Produces post-visit letters and instructions
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AI assistant for clinical notes
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Specialty-specific template support
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HIPAA-compliant data handling
Freed AI use cases
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Transcribe patient encounters in real time and auto‑generate ICD‑10/CPT coded clinical notes for instant EHR entry
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Produce pre‑visit summaries that pull key patient history and concerns, allowing providers to review before seeing the patient
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Generate referral letters and discharge instructions automatically, ensuring consistent formatting and compliance with coding standards
Who is it for?
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Healthcare providers
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Clinical researchers
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Medical administrators
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Patient advocates
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Data analysts
