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Freed AI (operated by Freed at getfreed.ai) is an ambient artificial intelligence medical scribe and clinical documentation platform that listens to clinician-patient encounters and generates structured clinical notes—primarily in SOAP (Subjective, Objective, Assessment, Plan) format—alongside patient visit summaries, referral letters, and billing code suggestions. In outpatient clinics and clinical research sites, ambient AI scribes reduce after-hours charting burden while requiring strict adherence to HIPAA Business Associate safeguards and Good Documentation Practices (GDP).
What Is Freed AI and Who Runs It?
Freed AI (`getfreed.ai`) is a software-as-a-service (SaaS) ambient clinical intelligence platform built for physicians, nurse practitioners, physician assistants, and behavioral health clinicians. Unlike traditional dictation tools (`freed ai dictation`) that require a clinician to speak verbatim commands and punctuation after an encounter, an ambient AI medical scribe (`freed ai medical scribe` / `ai scribe freed`) passively captures the natural multi-speaker conversation between the clinician and patient during an in-person or telehealth visit.
Using automatic speech recognition (ASR) paired with domain-adapted large language models (LLMs), the platform filters out non-clinical small talk, extracts medically relevant history, physical exam findings, assessments, and treatment plans, and synthesizes them into structured documentation (`freed ai soap notes`) within seconds of visit completion.
How Freed AI Works in Clinical Documentation Workflows
Based on Freed’s official platform documentation, the clinical charting workflow (`freed ai charting`) follows a five-step human-in-the-loop sequence designed to preserve clinician oversight over the final medical record:
- Patient Notification and Encounter Capture: After obtaining appropriate patient consent for ambient recording according to federal, state, and institutional policies, the clinician initiates recording via the Freed web interface, iOS/Android mobile app (`freed ai app`), or Chrome browser extension.
- Speech-to-Text Transcription and Diarization: The audio stream is transcribed in real time, separating clinician, patient, and family member speech while recognizing specialty terminology, medication names, and symptom chronologies.
- Structured Note Synthesis: Immediately upon ending the visit, Freed generates a structured draft note (`freed ai notes`), organized into Subjective (History of Present Illness, Review of Systems), Objective (physical examination findings, vitals, reviewed labs), Assessment (differential and clinical reasoning), and Plan (medications, diagnostic orders, follow-up), along with a plain-language post-visit patient summary.
- Template Customization and Style Adaptation: Clinicians can apply specialty-specific custom templates or use the platform’s style-learning feature (Learn format), which adapts future note structure, phrasing, and formatting based on manual edits the clinician makes to draft notes. The platform also surfaces suggested ICD-10-CM diagnosis codes and CPT evaluation and management (E/M) codes from the documented encounter.
- Clinician Review, Attestation, and EHR Push: The clinician reviews and edits the generated note for clinical accuracy and completeness, then transfers the finalized text into the institutional EHR or EMR system via one-click copy or the Chrome extension’s EHR Push workflow, which injects structured sections directly into web-based EHRs (such as athenahealth, AdvancedMD, DrChrono, SimplePractice, and Practice Fusion).
HIPAA Compliance, Security Controls, and Clinical Data Governance
Because an ambient AI scribe ingests spoken Protected Health Information (PHI) during clinical encounters, any deployment in a US healthcare facility or academic medical center falls under the Health Insurance Portability and Accountability Act (HIPAA) and the HITECH Act. Evaluating whether a vendor is HIPAA aware vs. HIPAA compliant requires verifying concrete legal and technical controls:
- Business Associate Agreement (BAA): Under 45 CFR §§ 164.502(e) and 164.504(e), a covered entity must execute a written Business Associate Agreement before permitting a cloud transcription or ambient AI vendor to create, receive, maintain, or transmit ePHI. Freed signs a HIPAA BAA with subscribing healthcare providers and organizations.
- Zero Audio Retention Policy: According to Freed’s security documentation, raw patient audio recordings are processed ephemerally and permanently deleted immediately after the clinical note is generated, eliminating long-term storage liability for biometric voice recordings.
- No Foundation Model Training on PHI: Identifiable patient data, transcripts, and clinical notes are isolated and are not used to train or fine-tune external public foundation models.
- Encryption and SOC 2 Type II Attestation: Data is encrypted in transit (TLS) and at rest (AES-256) on cloud infrastructure governed by a HIPAA BAA, and the organization maintains SOC 2 Type II certification covering security, availability, and confidentiality controls under 45 CFR § 164.312.
Strengths, Limitations, and Source Data Integrity in Clinical Research
When ambient AI scribes are used by investigators or study coordinators during clinical trial visits, additional regulatory frameworks—including FDA guidance on electronic source data (eSource) and ALCOA+ data integrity principles (Attributable, Legible, Contemporaneous, Original, Accurate)—apply:
- Strengths: Contemporaneous note generation reduces recall bias that occurs when investigators chart hours after a study visit, and structured templates help standardize adverse event (AE) and concomitant medication narratives before transcription into Electronic Data Capture (EDC) Case Report Forms.
- Limitations and Hallucination Risk: Generative LLMs can occasionally misattribute a negated symptom (for example, confusing a patient denial during Review of Systems with an active symptom) or omit non-verbal physical examination findings that were not spoken aloud during the exam. Under FDA Clinical Decision Support (CDS) principles and ICH E6 Good Clinical Practice, an AI-generated draft is never a valid legal medical record or trial source document until the qualified investigator personally reviews, edits, and signs the record in the certified EHR.
- Informed Consent and State Wiretapping Laws: Eleven US states enforce two-party (all-party) recording consent statutes. Even where audio is deleted immediately after transcription, clinical sites must incorporate explicit verbal or written consent for ambient AI documentation into intake workflows.
Comparison of Ambient AI Medical Scribe Platforms and Architectures
Healthcare organizations and clinical informatics teams typically evaluate Freed AI alongside enterprise-integrated and EHR-native ambient documentation platforms based on integration model, deployment speed, and target practice size.
| Platform | Primary Target Setting | EHR Integration Mechanism | Key Governance & Workflow Characteristics |
|---|---|---|---|
| Freed AI (getfreed.ai) | Independent practices, outpatient clinics, behavioral health, small-to-midsize groups | Browser extension (EHR Push) into web-based EHRs, web app, mobile app | Self-service deployment without enterprise IT projects; HIPAA BAA, SOC 2 Type II, zero audio retention, style-learning SOAP templates |
| Microsoft Dragon Copilot / DAX Copilot (Nuance) | Large health systems, academic medical centers | Deep native integration with Epic (Haiku/Hyperspace) and Oracle Health via FHIR/HL7 APIs | Enterprise IT provisioning, ambient audio + speech recognition + order staging inside enterprise EHR workflows |
| Abridge | Enterprise health systems and specialty medical groups | Direct EHR integration (including Epic ambient module) with linked audio/transcript evidence spans | Highlights verifiable transcript segments linked to generated SOAP lines for rapid clinician auditing |
| Suki AI | Health systems and multi-specialty medical groups | Bi-directional API integration with Epic, Oracle Health, athenahealth, and MEDITECH | Combines ambient visit note generation with voice-command dictation, ICD-10/CPT coding, and order entry |
Frequently Asked Questions
What is Freed AI?
Freed AI (`getfreed.ai`) is an ambient AI medical scribe that captures clinician-patient encounter audio and automatically drafts structured clinical documentation—including SOAP notes, patient instructions, referral letters, and ICD-10/CPT code suggestions—for clinician review and transfer into an EHR.
How does Freed AI integrate with electronic health records (EHRs)?
Freed AI uses a web portal, mobile app, and a Chrome extension with an EHR Push feature that transfers reviewed SOAP note sections directly into browser-based EHRs (such as athenahealth, AdvancedMD, DrChrono, SimplePractice, and Practice Fusion) without requiring custom HL7 interface development.
How does Freed AI handle HIPAA compliance and patient audio retention?
Freed AI signs a HIPAA Business Associate Agreement (BAA), holds SOC 2 Type II certification, encrypts PHI in transit and at rest, deletes patient audio recordings immediately once the note is generated, and never uses identifiable patient data to train public AI models.
Sources
- Freed AI, Official Platform, EHR Integration, and Security & HIPAA Compliance Documentation, getfreed.ai.
- U.S. Department of Health and Human Services (HHS) Office for Civil Rights, HIPAA Business Associate Contracts and Security Rule Technical Safeguards (45 CFR §§ 164.312, 164.504(e)), hhs.gov.
- Office of the National Coordinator for Health IT (ONC), Health Data, Technology, and Interoperability: Certification Program Updates, Algorithm Transparency, and Information Sharing (HTI-1) Final Rule (45 CFR § 170.315(b)(11)), healthit.gov.
- U.S. Food and Drug Administration (FDA), Electronic Source Data in Clinical Investigations: Guidance for Industry, fda.gov.
