Eliminate Documentation Burden. Give Clinicians Back Their Day.
Zabrizon's ambient AI scribing platform listens to patient encounters and generates structured clinical notes in real time — reducing documentation time by up to 70% without changing how clinicians work.
The Documentation Crisis in Healthcare
Clinical documentation has become the leading driver of physician burnout — consuming time, morale, and patient care quality.
3+ Hours of Documentation Per Day
Physicians spend more time in the EHR than with patients. For every hour of patient time, there is an average of 1.8 hours of EHR documentation.
After-Hours 'Pajama Time'
55% of physicians complete documentation after hours, eroding work-life balance and accelerating the burnout that drives turnover costing $500K–1M per physician.
Inconsistent Note Quality
Rushed documentation leads to incomplete notes, missed diagnoses in the record, and coding inaccuracies that impact reimbursement and quality scores.
EHR Friction Reduces Patient Focus
Clinicians facing the screen during encounters reduces patient trust and satisfaction — directly impacting HCAHPS and Press Ganey scores.
Clinical Documentation AI Capabilities
From ambient listening to structured note delivery — a complete documentation workflow.
Ambient AI Scribing
Learn morePassive listening captures the patient encounter and generates draft clinical notes in real time — no dictation, no clicking.
- Specialty-trained models for primary care, cardiology, orthopaedics, and 40+ specialties
- Accurate capture of diagnoses, medications, and care plans
- Flags items requiring clinician clarification
- Works in-person and via telehealth
Structured Note Generation
Learn moreAuto-generates SOAP notes, H&P notes, progress notes, and discharge summaries in your preferred format and EHR template.
- Configurable note templates per specialty and provider
- Auto-populates structured data fields in the EHR
- Supports multiple note types simultaneously
- Learns from clinician edits to improve over time
ICD-10 & CPT Code Suggestion
Learn moreNLP analyses the clinical narrative and suggests appropriate diagnosis and procedure codes — reducing manual coding and improving reimbursement capture.
- Surfaces relevant ICD-10-CM/PCS codes from note content
- CPT and E&M level suggestions with documentation support
- HCC capture for value-based care programmes
- Reduces coding-related denials by up to 40%
Integrates with your existing systems
Works With Every Major EHR Platform
HL7 FHIR R4 native • SMART on FHIR • REST APIs • Custom HL7 v2 connectors
Ready to Give Your Clinicians Back Hours Every Day?
Book a documentation AI pilot programme and see results within the first week.