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ScribeMatic (also known as ScribeMatic AI) is an ambient clinical intelligence and AI medical scribe platform designed to automate encounter documentation, pre-visit chart summarization, and medical coding for outpatient clinics, specialty practices, and multi-site clinicians. Operating alongside enterprise ambient scribes such as Abridge AI, Suki AI, and Heidi Health, ScribeMatic pairs multi-speaker medical speech recognition with a modular clinical AI stack (ScribeMatic, Summatic, Codematic, and Billmatic) and an embeddable EHR developer framework called Matic Inside.
What Is ScribeMatic?
ScribeMatic is an ambient AI medical scribe and clinical documentation copilot that listens to natural patient-clinician conversations and converts them into structured SOAP notes, specialty clinical documentation, and coding summaries.
Built as the flagship clinical documentation engine within the broader Matic healthcare AI suite, ScribeMatic separates clinical encounter capture into four specialized functional modules:
- ScribeMatic (Ambient Encounter Scribe): Captures multi-speaker audio from in-person exam rooms or telehealth consultations, separating clinician questions from patient and caregiver responses and synthesizing structured History of Present Illness (HPI), Review of Systems (ROS), Physical Exam, Assessment, and Plan sections.
- Summatic (Pre-Visit Chart & Document Summarizer): Ingests prior progress notes, longitudinal medical records, and referral packets to produce concise pre-encounter clinical briefs.
- Codematic & Billmatic (Autonomous Coding & RCM Support): Analyzes finalized clinical documentation to suggest relevant ICD-10-CM diagnosis codes, CPT procedure codes, and Evaluation and Management (E/M) medical decision-making (MDM) complexity levels.
- Style-Adaptive Specialty Templates: Adapts output verbosity, section ordering, and clinical terminology to match individual physician phrasing across primary care, behavioral health, orthopedics, cardiology, and surgical subspecialties.
How Does ScribeMatic Work in Clinical Practice?
In clinical practice, ScribeMatic processes encounters through a four-step pipeline: patient consent and session initialization, ambient multi-speaker audio capture, clinical LLM structuring, and clinician verification prior to EHR sign-off.
The table below outlines the operational flow of a ScribeMatic-assisted clinical encounter:
| Encounter Phase | System Action | Clinician & Compliance Action |
|---|---|---|
| 1. Pre-Encounter Context | Summatic condenses prior visit notes and referral documents into a pre-charting summary. | Clinician obtains patient consent for ambient voice capture in accordance with state recording laws. |
| 2. Ambient Audio Capture | Browser or mobile client streams encrypted encounter audio; speaker diarization labels clinician vs. patient speech. | Clinician conducts the visit naturally without typing, verbalizing key physical exam findings aloud. |
| 3. Clinical Note & Code Synthesis | ScribeMatic filters non-clinical dialogue and maps extracted clinical entities into the chosen specialty SOAP template; Codematic proposes ICD-10/CPT codes. | Clinician selects or switches specialty formatting templates if needed. |
| 4. Review & EHR Commit | Generated sections are pushed via Matic Inside APIs or copied as discrete modular blocks into the EHR chart. | Clinician reviews the draft note for clinical accuracy and signs the legal medical record in the EHR. |
Is ScribeMatic HIPAA Compliant?
ScribeMatic is built on HIPAA-compliant cloud infrastructure (45 CFR Part 164) and supports formal Business Associate Agreements (BAAs) with covered healthcare entities.
When healthcare organizations and clinical research clinics evaluate ScribeMatic for deployment with Protected Health Information (PHI), three governance layers apply:
- Business Associate Agreement (BAA) Mandate: Under the HIPAA Privacy and Security Rules (
45 CFR § 164.308(b)and§ 164.504(e)), covered entities must execute a BAA with ScribeMatic before capturing identifiable patient encounters. - Cryptographic Safeguards: Encounter audio streams and generated clinical notes are protected in transit using TLS encryption and encrypted at rest using AES-256 standards, with role-based access controls (RBAC) and session timeouts preventing unauthorized access.
- Clinician Attestation Safeguard: Because generative AI models can occasionally misinterpret negation, laterality, or temporal history in noisy exam rooms, institutional compliance policies require the treating clinician to verify and attest to the accuracy of every generated note section and billing code before committing the record.
How Does ScribeMatic Integrate with EHR Systems?
ScribeMatic supports both an EHR-agnostic portable web/mobile workflow for multi-site clinicians and an embedded API/SDK architecture (“Matic Inside”) that plugs directly into partner EHR platforms.
This dual-track integration architecture addresses two distinct clinical deployment scenarios:
- Matic Inside (Native Embedded EHR APIs & SDK): Through the Matic Inside developer framework, EHR and practice management vendors (such as PracticeSuite and specialty ambulatory platforms) embed ScribeMatic’s ambient recording widget and structured JSON output directly inside their native clinical charting screens. When the encounter ends, HPI, ROS, Exam, Assessment, and Plan fields populate automatically in the host EHR without window switching.
- EHR-Agnostic Portable Workflow (Multi-EHR & Locum Tenens): Because hospitalists, surgical specialists, and locum tenens clinicians frequently rotate across hospitals and clinics running different EHRs (such as Epic, athenahealth, eClinicalWorks, or AdvancedMD), ScribeMatic also operates as a standalone, lightweight browser and mobile application. Even if a local hospital EHR experiences slow network response times, clinicians can generate structured notes in ScribeMatic and transfer either the complete note or individual modular sections into the target EHR chart.
