ECNX listens to the visit — in any language, across any distance — and turns it into an evidence-grounded note, a patient-friendly summary, billing codes, and signed-off orders in the EHR. While you do the one thing that ever mattered: be present.
Every human life is a story told in conversations — and the most consequential ones happen in exam rooms. A patient describing a pain they cannot name. A physician listening for the detail that changes everything. Healing has always begun with presence: two people, face to face, one of them truly heard.
Modern medicine broke that covenant. For every hour a physician spends with patients, they spend up to two more staring at a screen — typing what they remember instead of hearing what is said. The record we built to document care has become the thing standing between the healer and the healed.
Our conviction is simple: the conversation itself is the source of truth. Not the note typed from memory at 9 p.m. The living encounter — in any language, in any room, across any distance — should flow effortlessly into the record, the billing system, and the patient's own hands. Technology should recede into the ambient background so that attention, the scarcest resource in healthcare, returns to the patient.
Category statistics from published industry research (Stanford Medicine pilot, MGMA 2024 survey, market analyses); sources available on request.
Ambient scribes proved the category — then stopped at a text box, in one language, in one room, asking to be trusted on faith. ECNX was engineered to finish the job.
Every sentence ECNX writes carries a live evidence link back to the exact moment in the transcript — and the audio — that supports it. Click any claim and hear it said. Sentences without grounding are visibly flagged for your review, never slipped past you.
Care is no longer a place. ECNX is telehealth-native from its foundation: host a session, share a code, and the people who matter join from wherever they are — each with a defined role, each heard, each documented. The ambient engine diarizes every speaker with zero voice enrollment.
Tens of millions of patients navigate care in a language their chart doesn't speak. ECNX treats language as a first-class citizen: real-time multilingual recognition with integrated live translation — and, uniquely, an after-visit summary written in the patient's own language, at a reading level they can actually use.
A note that sits in a text box is half a product. ECNX watches the visit live through an agentic Encounter Co-pilot — surfacing safety alerts, guidance, and suggested orders as they're spoken — then closes the loop: billing codes captured, orders approved in one tap and written back to the EHR as FHIR R4 resources. Not a summary of work to do. The work, done.
Every capability below is implemented in the platform today — not a roadmap slide. Color-coded by the promise it serves.
Every AI-written sentence links to the exact transcript moment — and audio second — that supports it. Ungrounded sentences are flagged amber with a per-section grounded score.
Ends the "proofread the black box" era: verify in seconds, sign with confidence.
A deterministic engine screens every note for polarity flips — "denies chest pain" silently becoming "chest pain" — and raises Critical or Warning violations before you ever see the draft.
Catches the single most dangerous AI documentation failure, without relying on AI to do it.
Rules-based drug–drug interaction and drug–allergy screening runs on every encounter — negation-aware ("stopped warfarin" won't fire), every alert traceable to its source segment.
Real decision support with engineered protection against alert fatigue.
Click any sentence in the finished note to reveal its transcript grounding; a waveform scrubber seeks the recording to that exact moment.
An audit trail that satisfies the physician, the CMIO, and the lawyer.
Host and join live encounter rooms with knock-to-admit, presence states, in-session chat, WebRTC audio, and consent-visible recording controls.
Telehealth, family conferences, and specialist consults become first-class documented encounters.
Every speaker is identified and attributed automatically — no voice training, no setup, no matter how many people are in the room or on the line.
"Who said what" is the difference between a transcript and a clinical record.
Browser, installable offline-capable PWA with background sync, and native iOS, Android, Windows, and macOS apps — one codebase, one identical clinical experience.
Works in the clinic, on rounds, at home, and where the Wi-Fi doesn't.
A one-tap toggle moves between hands-free ambient capture and focused dictation, with a state machine keeping capture, processing, and finalization honest.
Matches how clinicians actually work — passive in the visit, precise at the close.
Multilingual speech recognition with integrated live translation and per-session language hints keeps mixed-language encounters flowing naturally.
Tens of millions of limited-English-proficiency encounters become fully addressable.
Every visit produces a plain-language after-visit summary in the patient's own language at an 8th-grade reading level — with the readability grade computed and shown.
Instructions patients understand are instructions patients follow.
One conversation, two documents, simultaneously: a structured LOINC-coded clinical note for the record and a human summary for the patient — with shared evidence lineage.
The chart gets rigor; the patient gets respect. Nobody writes twice.
A specialty router formats notes the way your discipline expects, and edit telemetry learns your personal note style from every correction you make.
Week two sounds more like you than week one. It keeps going.
A live, priority-ranked feed of safety alerts, clinical guidance, order suggestions, and documentation gaps — auto-synthesized into a plan headline, every item one tap to act on or dismiss, every action audit-logged.
A second set of eyes on every visit, with guardrails no LLM can override.
ICD-10, SNOMED, and RxNorm suggestions with confidence scores are extracted from the conversation itself; high-confidence codes flow toward the EHR as condition drafts.
The complexity you actually managed is the complexity you actually bill.
Medications, labs, and imaging spoken in the visit are detected (dose and all), proposed for review, and — on one-tap approval — written back to the EHR as FHIR R4 resources with deduplication.
The order heard at minute 14 exists in the EHR at minute 15.
A real-time sub-dashboard streams token usage, latency, service health, and billing pipeline activity for every encounter.
Your IT team sees exactly what the AI is doing, as it does it.
At $250 per clinician per month, the question isn't whether ECNX pays for itself. It's how many times over. Illustrative figures per clinician, per month:
Roughly 1.5 hours a day of note work eliminated. At a conservative $120/hour of physician cost, that's ~$3,600 of recovered capacity — a 14× return before anything else.
Conversation-derived coding routinely captures complexity that memory-based notes drop. Even a 2–3% coding-accuracy uplift on typical physician billings adds $1,200–1,800/month.
Replacing one burned-out physician costs a health system $500K–$1M. The strongest retention tool ever measured is giving clinicians their evenings back.
Hospital procurement is where products go to wait. ECNX ships a live Trust Center: standardized security questionnaire (SIG) answers generated from real-time cloud posture, a one-click HIPAA Business Associate Agreement generator, and pre-packaged dossiers for the vendor-risk platforms your security team already uses. PHI redaction is enforced on every AI call — nine pattern classes, clinical boundary checks, and an immutable audit ledger entry per call.
Simple per-clinician pricing. No proprietary hardware. No human scribes listening in. Cancel anytime.
$250 / clinician / month
$325 / clinician / month
Custom — volume pricing
Pilot programs include white-glove onboarding and published-outcome measurement. Pricing shown is indicative launch pricing.
Any language. Any distance. Every claim shown, every action one tap, every note closed into the record. What remains in the room is what medicine was always supposed to be: one human being, fully present, listening to another.