Post-discharge follow-up
Check on recovery, wound status, and adherence in the risky days after discharge.
AI Agent · Virtual Nursing Assistant
24/7 Virtual Nursing Assistant
An after-hours assistant that fields patient check-ins, medication and symptom questions, and care-plan reminders, then escalates anything that needs clinical judgment to the on-call nurse with full context. It extends nursing coverage around the clock without stretching your staff past safe limits.
Human-in-the-loopHIPAA-ReadyAudit LoggedFHIR R4
Trusted by global innovators
The hours nobody is staffed for
A virtual nursing assistant covers the hours between clinic close and the next morning, when patients still have questions about a new symptom, a medication or a care-plan step. Agnotic Technologies builds it to run structured after-hours check-ins, answer from approved content and screen symptoms against validated logic.
Low-risk items are resolved or logged. Anything that crosses an acuity threshold goes to the on-call clinician in real time, with the full conversation and chart context. It supports the nurse and never substitutes for one.
Coverage that knows its limits
Reference architecture for how this agent connects to your EHR and data systems.
Key Capabilities
What the assistant handles overnight, and how it escalates.
Structured after-hours check-ins
Proactive and on-demand check-ins on symptoms, pain, adherence, and recovery, captured as structured data rather than loose notes.
Care-plan & medication support
Answers questions about the patient's care plan, medication timing, and discharge instructions, grounded in clinician-approved content.
Validated symptom screening
Screens reported symptoms against acuity logic with hard red-flag stops, so deterioration is surfaced immediately, not buffered.
Real-time nurse escalation & routing
When a case crosses threshold, it pages the right destination (on-call nurse, care manager, or emergency services) with the conversation, acuity, and chart context.
Who runs it
Deployment scenarios
Where after-hours virtual nursing support closes the coverage gap.
Chronic care programs
Overnight support for CCM and RPM patients between scheduled touchpoints.
Home health & hospice
Support caregivers and patients at home with escalation to the on-call clinician.
Post-op recovery
Structured surgical recovery check-ins with red-flag screening for complications.
What round-the-clock coverage changes
Directional impact, validated per deployment rather than guaranteed.
24/7
Coverage without overnight staffing gaps
Real-time
Escalation to on-call staff on red flags
Every check-in
Logged and written back for the day team
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
Compliance & interoperability standards
HIPAASOC 2FHIRHL7SNOMEDESI
How It Works
From after-hours check-in to nurse escalation
Capture the patient's status, screen it under validated logic, resolve the safe items, and escalate the rest to a human in real time.
1.
1 · Check-in (capture)
The patient starts or receives a check-in via app, SMS, or voice. The assistant captures structured symptom and adherence data inside BAA-covered infrastructure.
PHI in BAA scope
2.
2 · Screen (model + guardrails)
Reported symptoms are screened against validated acuity logic with red-flag hard stops. The reasoning is transparent, so the on-call nurse can verify why something escalated.
Validated, explainable
3.
3 · Resolve or escalate (human-in-the-loop)
Low-risk items get approved guidance or a logged follow-up; anything urgent pages the on-call clinician immediately with full context. The assistant never clears a patient on its own.
Human-in-the-loop
4.
4 · EHR update
Check-in results, escalations, and outcomes are written back to the EHR as FHIR resources, and the interaction is captured in an audit log for the day team and compliance.
Audit logged
Related proof
Read Case StudyLera Health: compliant women's health platform
Related delivery proof from our compliant, AI-assisted healthcare work, not this exact agent.
Compliance & Guardrails
Support the nurse, never replace the judgment
In healthcare, the guardrails matter as much as the capability.
PHI handling
Check-in data is processed in BAA-covered infrastructure, encrypted end to end, with scoped access and no PHI used to train shared models.
Human-in-the-loop
The assistant screens and supports; it never diagnoses or clinically clears a patient. Threshold-crossing cases always page a live clinician.
Explainability
Every escalation carries the reasoning and the answers that triggered it, so the on-call nurse verifies rather than trusts a score.
Audit logging
Every check-in, screen, escalation, and outcome is logged with timestamps: a complete overnight record for the day team and quality review.
Frequently Asked Questions
Yes. Check-in data is processed in BAA-covered infrastructure, encrypted in transit and at rest, with role-based access, full audit logging, and no PHI used to train shared models.
No. It extends coverage into hours you cannot fully staff by handling structured check-ins and screening; it never diagnoses or clears a patient, and any case crossing an acuity threshold pages the on-call clinician.
It runs structured after-hours check-ins, screens symptoms against validated acuity logic, escalates urgent cases to on-call staff in real time, and writes results back as FHIR resources.
A scoped pilot runs a few weeks: mapping check-in protocols and escalation paths, integrating channels and FHIR write-back, then a supervised overnight phase before full coverage.
Ready to cover the hours you cannot staff?
Tell us your workflow and systems, and we'll return an architecture review and a phased rollout plan.
contact@agnotic.com
Partnerships
contact@agnotic.com