Overview
What is clinical documentation AI?
Clinical documentation AI, often called an ambient AI scribe, uses speech recognition and large language models to capture the natural conversation of a patient encounter and convert it into a structured clinical note in real time.
Rather than typing into the EHR during or after the visit, the clinician simply has the conversation. The system drafts the SOAP note, suggests billing and diagnosis codes, and produces a plain-language after-visit summary for the patient. The clinician reviews and signs, keeping full control and accountability while eliminating hours of after-hours charting ("pajama time").
What the system analyzes
The Challenge
The documentation burden driving clinician burnout
Physicians spend roughly two hours on EHR documentation for every hour of direct patient care. Administrative burden is the leading driver of burnout, and a contributor to the projected shortage of 86,000 physicians by 2036.
Two Hours of Charting per Hour of Care
For every hour with patients, clinicians spend about two on documentation and desk work, much of it after hours, the so-called "pajama time" that erodes work-life balance.
Burnout at Crisis Levels
Documentation load is the #1 driver of physician burnout. At Mass General Brigham, ambient AI was associated with a 21.2 percentage-point drop in burnout prevalence (52.6% → 30.7%).
Lost Clinical Capacity
Time lost to charting is capacity lost to patients. Scribe adopters in a five–academic-center study were able to see roughly one additional patient every two weeks.
Documentation Quality & Coding Gaps
Rushed notes miss billable detail and clinical nuance, creating downstream revenue leakage and compliance risk in the revenue cycle.
Education AI Solutions
How Solnix delivers documentation AI
Ambient Capture
Securely capture the encounter audio (in-person or telehealth) within HIPAA-compliant infrastructure, with patient consent workflows built in.
Structured Note Generation
Generate specialty-specific SOAP/H&P notes with the clinical reasoning surfaced, ready for clinician review rather than from-scratch typing.
Coding & Billing Support
Suggest ICD-10 diagnosis codes and CPT / E&M levels grounded in the documented encounter to reduce undercoding and denials.
Review, Edit & Sign
The clinician reviews, edits, and signs. AI drafts, the human decides. Every edit improves the model for that clinician's style.
After-Visit Summaries
Auto-generate plain-language summaries and patient instructions, improving comprehension and adherence.
EHR Write-Back
Write structured notes and codes back into Epic, Cerner, or Athenahealth via FHIR/HL7 so AI lives inside the existing workflow.
End-to-End Implementation
How Solnix implements documentation AI
A phased path from clinical workflow assessment to a HIPAA-compliant, EHR-integrated deployment with measured outcomes. AI drafts, clinicians decide, at every step.
Discovery & AI Opportunity Mapping
We start by understanding your operations, data landscape, and goals, then map where AI delivers measurable value and where it does not. Every engagement begins with a prioritized opportunity backlog, not a technology pitch.
Data Foundation & Readiness
AI is only as good as the data behind it. We assess data quality, connect fragmented sources, and build the secure, governed pipelines that production AI depends on, with privacy and compliance designed in from the start.
Model & Agent Development
We build the models, retrieval systems, and AI agents tailored to your use cases, selecting the right approach (fine-tuning, RAG, multi-agent orchestration) for accuracy, cost, and latency, and validating against your real-world edge cases.
Integration & Workflow Embedding
AI only creates value when it lives inside the tools your teams already use. We embed models and agents into existing systems, surfaces, and workflows, so adoption is natural and human-in-the-loop controls stay in place.
Deployment, Security & Compliance
We deploy to production with the security, monitoring, and compliance controls enterprises require, including bias and fairness testing, audit logging, and the observability needed to operate AI responsibly at scale.
Optimization & Continuous Improvement
AI systems improve with use. We measure outcomes against the goals set in Phase 01, retrain and tune from live feedback, and expand to the next set of use cases, turning a single deployment into a compounding capability.
Key Capabilities
Key capabilities
Specialty-Tuned Note Models
Templates and models tuned per specialty, primary care, cardiology, behavioral health, and more.
Benefits
Ambient, Hands-Free Capture
No typing during the visit; the clinician focuses on the patient.
Benefits
Coding & Compliance Assist
Code suggestions grounded in documented evidence with audit trails.
Benefits
Multilingual & Telehealth
Works across in-person, telehealth, and multilingual encounters.
Benefits
Clinician-in-the-Loop
Every note is reviewed and signed by the clinician.
Benefits
EHR-Native Integration
Notes and codes flow into the EHR, not a separate app.
Benefits
Who Benefits
Outcomes for clinicians, patients, and the system
For Clinicians
Less charting, less burnout, more medicine.
For Patients
A more present clinician and clearer instructions.
For the Health System
Recovered capacity and cleaner revenue.
Education Segments
Explore related healthcare AI
Revenue Cycle Intelligence
Turn cleaner documentation into cleaner claims with AI coding, denial prediction, and AR prioritization.
Prior Authorization Automation
Auto-assemble PA requests from the same clinical evidence captured at the point of care.
Patient Triage & Navigation
Extend AI from the note to the front door with conversational triage and intake.
Care Gap Identification
Surface preventive-care opportunities from structured documentation data.
Enterprise Automation
Connect documentation AI to broader operational workflows across the system.
Agent Ecosystem
Compose multi-step clinical and administrative agents on top of documented data.
Methodology
How Solnix builds for healthcare
01, Clinical Workflow Assessment
01, Clinical Workflow Assessment
We shadow real encounters to design the AI around how clinicians actually work, not the other way around.
02, HIPAA-Compliant Architecture
02, HIPAA-Compliant Architecture
All PHI is processed within HIPAA-compliant infrastructure under signed BAAs, with encryption and access logging throughout.
03, EHR Integration
03, EHR Integration
Notes and codes write back to Epic, Cerner, and Athenahealth via FHIR R4 / HL7 so AI lives inside existing workflows.
04, Clinical Validation
04, Clinical Validation
Note accuracy and coding suggestions are validated against retrospective data before go-live, with clinician oversight.
05, Continuous Monitoring
05, Continuous Monitoring
Post-deployment monitoring tracks accuracy, edit rates, and outcomes; drift triggers retraining.
FAQ
Questions from CMOs, CMIOs, and practice leaders
Get Started
Give Your Clinicians Their Evenings Back.
Talk to a Solnix clinical AI specialist about a documentation pilot scoped to your specialties, EHR, and compliance requirements.
Talk to a Clinical AI Specialist →