Primary care access centers
Standardize how portal messages and calls are triaged across a large panel.
AI Agent · Patient Triage
AI patient intake and triage
Structured symptom intake with protocol-based acuity scoring that routes patients to self-care, telehealth, in-person, or emergency escalation, with a clinician reviewing every high-acuity result.
Human-in-the-loopHIPAA-ReadyAudit LoggedFHIR R4
Trusted by global innovators
What is AI patient triage software?
AI patient triage software collects a patient's symptoms and history, scores urgency against the triage protocol your clinicians choose, and routes the patient to the right level of care. Agnotic Technologies builds intake and triage agents that hand urgent or unclear cases to staff, write back to the EHR as FHIR resources, and keep HIPAA safeguards in place.
Every message, call and portal request is a triage decision, and today it falls on nurses and front-desk staff. Low-acuity cases route automatically; urgent or ambiguous ones queue to a clinician.
Before triage, the same agent works as a patient intake chatbot: registration, history, insurance details and pre-visit questionnaires, with data checked before it reaches the chart.
How does a patient move from intake to routing?
Symptom intake feeds protocol-based acuity logic, which proposes a route: a clinician reviews every escalation before the patient moves.
What can the triage agent do?
What the triage agent produces on each patient contact.
Structured symptom intake
Conversational intake asks the right follow-ups (onset, severity, red flags) for a structured chief complaint.
Protocol-based acuity scoring
Acuity is scored against established triage protocols (ESI-style logic, evidence-based question sets), not a black box.
Care-level routing & red-flag escalation
Routes to self-care, telehealth, or in-person; emergent presentations (chest pain, stroke signs, suicidal ideation) hard-stop to a human.
FHIR write-back
Intake summary, acuity, and disposition write to the EHR as FHIR Encounter, Observation, and Communication resources.
Digital patient registration
Automates patient registration and onboarding, capturing demographics, consent, and contact details up front.
History & insurance gathering
Collects medical history and gathers insurance information as part of intake, ready for eligibility and the chart.
Pre-visit questionnaires & forms
Pre-visit questionnaires with automated form completion, so intake paperwork fills itself before the visit.
Patient data validation
Validates patient-entered data on capture to catch errors before they reach the EHR or the clinician.
Who runs it
Who runs a triage agent?
Where standardized triage relieves the front-line team.
Nurse triage lines
Pre-structure intake so nurses spend time on judgment, not data entry.
Emergency department front-end
Consistent acuity flagging that always defers emergent cases to staff.
Telehealth platforms
Route virtual-first patients to the right visit type or escalate to in-person.
Urgent care networks
Balance load across sites by routing patients to the right level and location.
Health plan nurse lines
Member-facing intake routing to plan-covered care options with human oversight.
What consistent triage changes
Expected-impact framing, calibrated per organization during pilot, not fixed numbers.
Every case
Scored against your clinical triage protocol
Clinician
Confirms every high-acuity result
24/7
Consistent intake, even after hours
Compliance-First Healthcare App Development Services Backed by Global Standards
15-Minute Scoping Call01
HIPAA
Health Insurance Portability and Accountability Act
Protect PHI with privacy-first architecture, encrypted storage and transmission, strict access controls, and traceable audit logs.
02
GDPR
General Data Protection Regulation
Implement lawful consent flows, data minimization, retention controls, and secure processing for sensitive health data.
03
FHIR
Fast Healthcare Interoperability Resources
Enable standardized health data exchange across apps, care teams, and systems through standards-based FHIR APIs.
04
HL7
Health Level Seven International
Support enterprise-grade interoperability with HL7-based integrations for records, events, and clinical messaging workflows.
05
HITRUST
Health Information Trust Alliance
Align security programs to healthcare-specific control and risk management practices trusted by providers and ecosystem partners.
06
HITECH
Health Information Technology for Economic and Clinical Health Act
Design with breach notification readiness, digital record safeguards, and operational controls that support regulated care programs.
07
SaMD
FDA Software as a Medical Device
Plan software quality, traceability, and documentation pathways for products that may require SaMD review and submission.
08
MDR (EU)
Medical Device Regulation (European Union)
Prepare EU market-ready processes for risk classification, evidence tracking, and lifecycle governance under MDR expectations.
09
SAMHSA
Substance Abuse and Mental Health Services Administration
Apply confidentiality controls and consent-aware sharing models for behavioral and mental health data experiences.
Standards we build against
Which standards does it use?
HIPAANIST AI RMFFHIRHL7SNOMEDESI
How It Works
From symptom to disposition
Capture the complaint, score it against your triage protocol, escalate to a clinician, and record the outcome.
1.
1 · Intake (capture)
Symptoms arrive via chat, portal, or voice; the agent structures them into a coded chief complaint in BAA scope.
PHI in BAA scope
2.
2 · Acuity scoring (model + guardrails)
Your clinical triage protocol scores acuity and flags red flags, mapping answers to the disposition so reviewers see why.
Protocol-based, explainable
3.
3 · Human review & routing
High-acuity and ambiguous cases queue to a clinician; low-acuity cases route automatically, and the clinician can override.
Human-in-the-loop
4.
4 · EHR update
Disposition, intake summary, and acuity write back to the EHR as FHIR resources, audit-logged.
Audit logged
Facts and sources
Which rules shape AI triage?
Short facts we design around, each linked to its primary source.
FDA's Clinical Decision Support Software guidance explains which decision support functions meet the non-device criteria in section 520(o)(1)(E) of the FD&C Act and which remain device software functions.
Source: FDA guidance, Clinical Decision Support SoftwareThe NIST AI Risk Management Framework is a voluntary framework that organizes AI risk work into four functions: Govern, Map, Measure and Manage.
Source: NIST AI 100-1A HIPAA covered entity may share protected health information with a business associate, such as a software vendor, only under a business associate agreement that commits the vendor to safeguard it.
Source: 45 CFR 164.502(e) and 164.504(e) (eCFR)The HIPAA Security Rule requires administrative, physical and technical safeguards for electronic protected health information.
Source: 45 CFR Part 164 Subpart C (eCFR)
Related proof
Read Case StudyLera Health: compliant women's health platform
Lera Health demonstrates the compliant, AI-assisted patient workflows and privacy-first data layer this triage agent builds on: related proof, not this exact agent.
Compliance & Guardrails
How is triage kept safe?
Triage is safety-critical; the guardrails are built in from the first sprint.
PHI handling
Symptom data is processed in BAA-covered infrastructure, encrypted end to end; no PHI trains shared models.
Human-in-the-loop
The agent recommends, never diagnoses; every high-acuity result is clinician-confirmed and red flags route to a human.
Explainability
Acuity scores trace to the answers and the protocol rule that fired, so reviewers validate rather than trust.
Audit logging
Every intake, score, override, and route is logged with timestamp and reviewer: a defensible safety record.
Frequently Asked Questions
It can be. FDA's Clinical Decision Support Software guidance explains which decision support functions fall outside the device definition; software whose basis a clinician cannot review, or that drives urgent decisions on its own, may be a device. We design triage for clinician review and work with your regulatory advisors on classification.
The agent never diagnoses or gives treatment advice. It asks protocol questions, escalates red-flag symptoms straight to staff or emergency guidance, and a clinician confirms every high-acuity result. We test it against scripted cases before launch.
Intake and disposition data run in BAA-covered infrastructure with encryption, role-based access and audit logging, and they never train shared models. We sign a BAA before any PHI is shared.
No. It handles structured intake and scores acuity so nurses focus on judgment; every high-acuity case is clinician-confirmed, and red flags route straight to a human.
Unlike a symptom-checker chatbot, it runs a protocol-driven intake, scores acuity, routes to a real care level, and writes the encounter back as FHIR resources.
We start with one intake channel: mapping triage rules, integrating intake and EHR write-back in a sandbox, then a shadow phase before live routing. We give you a timeline after the scoping call.
Ready to standardize triage without losing the human?
Tell us your protocols and channels. We'll return a pilot plan with the acuity logic, escalation paths, and FHIR write-back mapped out.
contact@agnotic.com
Partnerships
contact@agnotic.com