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AI Patient Triage Agent

AI patient triage software for structured symptom collection, clinical acuity scoring, and intelligent care-setting routing across every channel.

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Kellton
Jade Global
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Walmart

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See it working on your own workflows. We reply within 24 hours.

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BrowserStack
Persistent
Yatra
Kellton
Jade Global
Optum
PokerBaazi
Walmart
BrowserStack
Persistent
Yatra
Kellton
Jade Global
Optum
PokerBaazi
Walmart

Trusted by startups and global leaders

BrowserStack
Persistent
Yatra
Kellton
Jade Global
Optum
PokerBaazi
Walmart
BrowserStack
Persistent
Yatra
Kellton
Jade Global
Optum
PokerBaazi
Walmart

Why Choose Bonami's AI Patient Triage Agent

US primary care wait averages 26 days. 46% of ED visits belong in lower-acuity settings ($2,200 vs. $150 at urgent care), 42% of patient calls go unanswered, and high-volume triage nurses miss 8–12% of high-acuity presentations.

AI Patient Triage Agent

From Inconsistent Manual Triage to Protocol-Driven Clinical Assessment

ESI inter-rater reliability between triage nurses is 0.70–0.80 — the same patient scores differently 20–30% of the time. The agent applies one validated protocol to every contact, every time, eliminating variability that drives both clinical risk and ED overcrowding.

From ED Overcrowding to Right Patient, Right Setting, Right Time

46% of ED visits are manageable in lower-acuity settings — a triage failure, not a patient education failure. The agent routes appropriate-acuity patients to urgent care, telehealth, or scheduled primary care before they default to the ED.

From After-Hours Call Chaos to 24/7 Structured Triage Coverage

After-hours contacts are 30–40% of total primary care volume (AAFP) — largely handled through unanswered calls or unstructured responses. The agent delivers 24/7 protocol-driven triage coverage with the same clinical rigour as the daytime team.

Core Capabilities of the AI Patient Triage Agent

Six capability pillars — from structured symptom collection and ESI-aligned acuity scoring to intelligent routing, after-hours coverage, and EHR pre-population — deployed to reduce preventable ED overcrowding and deliver consistent triage across every patient contact channel.

Structured Symptom Collection & Clinical Intake

Validated symptom interview across web, mobile, SMS, and phone — collecting chief complaint, onset, severity (0–10), associated symptoms, medications, allergies, and relevant history before any clinical staff engagement.

Measured by What Changed After Deployment

Hover to explore the numbers behind the agents we've put into production.

Core Capabilities of the AI Patient Triage Agent

Six capability pillars — from structured symptom collection and ESI-aligned acuity scoring to intelligent routing, after-hours coverage, and EHR pre-population — deployed to reduce preventable ED overcrowding and deliver consistent triage across every patient contact channel.

  • Structured Symptom Collection  & Clinical Intake

    Structured Symptom Collection & Clinical Intake

    Structured Symptom Collection & Clinical Intake

    Validated symptom interview across web, mobile, SMS, and phone — collecting chief complaint, onset, severity (0–10), associated symptoms, medications, allergies, and relevant history before any clinical staff engagement.

  • Clinical Acuity Scoring  & Priority Assignment

    Clinical Acuity Scoring & Priority Assignment

    Clinical Acuity Scoring & Priority Assignment

    Maps collected symptom data against the five-level ESI framework — producing a consistent, documented acuity recommendation for clinical staff review every time.

  • Intelligent Care-Setting  Routing & Navigation

    Intelligent Care-Setting Routing & Navigation

    Intelligent Care-Setting Routing & Navigation

    Routes by acuity — Level 1/2 escalated to ED immediately; Level 3 to urgent care or telehealth; Level 4/5 to scheduled primary care or async messaging.

  • High-Acuity Alert &  Deterioration Detection

    High-Acuity Alert & Deterioration Detection

    High-Acuity Alert & Deterioration Detection

    Detects sepsis indicators (fever + tachycardia + altered mental status) in real time — immediately routing the patient to ED with a sepsis-flag notification to the receiving clinical team.

  • After-Hours Triage  & On-Call Deflection

    After-Hours Triage & On-Call Deflection

    After-Hours Triage & On-Call Deflection

    24/7 structured triage coverage — the same validated symptom interview and acuity scoring at 2am as during business hours, with consistent clinical rigour regardless of call volume.

  • EHR Pre-population  & Care Team Handoff

    EHR Pre-population & Care Team Handoff

    EHR Pre-population & Care Team Handoff

    Clinical summary pre-populated into Epic, Cerner, or athenahealth before the patient arrives — chief complaint, symptoms, vitals, medications, acuity score, and red flag status ready in the visit note.

Sepsis Costs the US $62B Annually — Early Triage Is the Intervention That Changes Survival.

Every hour of sepsis treatment delay increases mortality by 7%. Manual triage carries an 8–12% under-triage rate. Deflecting 40% of unnecessary ED visits at a $2,050 average cost differential transforms the financial model.

Get Your Clinical Triage Audit
AI Readiness

Award-Winning AI Development & Consulting

2025

100 Fastest Growth Companies

2025

Global Spring Winner

2025

Top App Development Company

2024

AWS Partner Network

2024

Google Cloud Partner

2025

Highly Rated on Trustpilot

2024

Verified Agency

2024

Top App Development Company

2024

ASSOCHAM Member

Frequently Asked Questions

[ 1 ]

What is an AI Patient Triage Agent and what clinical role does it play?

It conducts structured symptom interviews across digital and phone channels, generates ESI-aligned acuity scores, routes patients to the right care setting, and pre-populates EHR records before clinical staff engage. It supports — not replaces — licensed triage professionals; every acuity score is a decision-support recommendation, and red flag presentations trigger immediate escalation.

[ 2 ]

Which triage frameworks does the agent use and can they be customised?

ESI (five-level) is the default; CTAS, MTS, and ATS are available alternatives. Symptom pathways and scoring thresholds are customisable to your clinical policies — all changes are version-controlled and require clinical governance sign-off before activation.

[ 3 ]

How does the agent handle high-acuity emergencies?

Escalation is hardcoded and cannot be suppressed. Sepsis, FAST stroke signs, acute cardiac, respiratory distress, altered consciousness, haemorrhage, or severe allergic reaction trigger dual-track escalation: the patient is directed to call 911 or go to ED, and a clinical alert fires to the on-call team within 60 seconds.

[ 4 ]

How does the agent integrate with Epic and Cerner EHR systems?

Epic via FHIR R4 (MyChart + Interconnect API), Oracle Health/Cerner via Millennium FHIR API and CDS Hooks, athenahealth via REST API. All EHR writes are labelled as AI-generated decision support with model version, timestamp, and confidence score.

[ 5 ]

Is the agent HIPAA compliant and how is patient data handled?

Yes — deployed under a BAA as a HIPAA-covered entity, with PHI encrypted in transit (TLS 1.3) and at rest (AES-256), role-based access controls, immutable audit logging, and annual third-party security risk assessments. PHI is never used for model training without de-identification and a separate DUA.

[ 6 ]

What languages does the agent support?

Symptom interviews in 10 languages: English, Spanish, Mandarin, French, Vietnamese, Arabic, Portuguese, Korean, Tagalog, and Russian. Voice interactions route to Language Line Solutions for real-time medical interpretation; all triage output is documented in English.

[ 7 ]

How does the agent support triage nurses rather than replacing them?

The agent handles the 4–6 minutes of structured intake — chief complaint, symptom history, vitals self-report, medications — so nurses receive a pre-populated screen with acuity recommendation and confidence score. Their role shifts to clinical validation and patient relationship management.

[ 8 ]

How long does implementation take?

Standard go-live is 8–10 weeks: clinical governance and BAA (wks 1–2), EHR FHIR integration (wks 3–4), channel setup (wks 5–6), supervised parallel pilot (wks 7–8), sign-off and full activation (wks 9–10). Prerequisites: EHR API credentials, clinical governance sign-off, and a designated clinical informatics lead.

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