1.6 hours
projected clinician time reclaimed per shift
For Clinical Leaders
Purpose-built for CMIOs, physician leaders, and nursing operations who need measurable workflow relief without care-quality compromise.
1.6 hours
projected clinician time reclaimed per shift
31%
projected faster chart completion after encounter close
94%
projected automated capture in interpreted encounters
Projections based on published outcomes from DAX Copilot, Augmedix, and Suki AI, adjusted for MDX Vision's real-time in-encounter architecture.
Specialty Workflows
Challenge: High-acuity, multi-patient environments where keyboard documentation competes with care delivery.
Workflow: Voice-driven encounter capture runs continuously. Structured notes, orders, and disposition summaries generate without clinician context switching.
Outcome: Projected 40%–60% reduction in documentation time per ED encounter based on DAX/Augmedix benchmarks.
Challenge: Rounding across 15-20 patients per shift with fragmented note completion and delayed chart closure.
Workflow: Real-time note structuring during bedside rounds. AR overlay surfaces patient history, active orders, and pending results in the clinician's line of sight.
Outcome: Projected same-day chart closure rate improvement from 60% to 85% based on Suki AI outcomes.
Challenge: 20-minute appointments with 2+ hours of after-hours documentation and multilingual patient encounters.
Workflow: Ambient capture handles documentation during the visit. Real-time language interpretation supports 500+ languages at point of care.
Outcome: Projected 48 minutes reclaimed per day in after-hours documentation based on Suki AI benchmarks.
Challenge: Shift handoffs lose context. Flowsheet documentation competes with bedside care. Burnout is the highest of any clinical role.
Workflow: Voice-to-structured summaries standardize handoff reports. AR overlay surfaces critical tasks, medication schedules, and patient alerts without workstation return.
Outcome: Projected 2 hours saved per 12-hour shift based on DAX Copilot nursing pilot data.
AR Experience
Active diagnoses, allergies, recent labs, and medication list displayed in peripheral AR overlay. Updates in real time as new data enters the EHR.
Live voice-to-text transcription visible to the clinician during the encounter. Speaker diarization separates clinician and patient speech in real time.
Drug interaction warnings, critical lab flags, and pending order confirmations surface contextually without interrupting care delivery.
Real-time progress tracker showing structured note completeness. Clinicians see which SOAP sections are captured vs. still needed before encounter close.
Before & After
Adoption Model
Phase 1: Identify Champions
Select 3-5 physician and nursing champions per service line. Champions are high-documentation-burden clinicians who influence peer adoption.
Phase 2: Controlled Validation
Champions use MDX Vision for 30 days across defined workflows. Baseline documentation time, chart closure rates, and satisfaction are measured pre/post.
Phase 3: Peer-Led Expansion
Champions lead onboarding for their service lines. Peer training drives adoption rates 3-5x higher than top-down rollouts.
Phase 4: Operational Governance
Usage analytics, quality metrics, and compliance dashboards are established. Ongoing optimization is driven by data, not assumptions.
Clinical Next Step