Agnotic Technologies Logo
    Nurse reviewing an escalation from a virtual assistant at night
    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

    Benchmark
    Chibasco
    Fundency
    Lantimer
    Lauren
    Lera
    One Minute
    Pento Pix
    TAP
    Xtrium
    Healthevolve
    Benchmark
    Chibasco
    Fundency
    Lantimer
    Lauren
    Lera
    One Minute
    Pento Pix
    TAP
    Xtrium
    Healthevolve
    Benchmark
    Chibasco
    Fundency
    Lantimer
    Lauren
    Lera
    One Minute
    Pento Pix
    TAP
    Xtrium
    Healthevolve
    Benchmark
    Chibasco
    Fundency
    Lantimer
    Lauren
    Lera
    One Minute
    Pento Pix
    TAP
    Xtrium
    Healthevolve

    The hours nobody is staffed for

    Between clinic close and the next morning, patients still have questions — a new symptom, a medication they are unsure about, a wound that looks wrong, a care-plan step they forgot. With no coverage, those become 2 a.m. ER visits, missed deterioration, or an anxious wait until the phones open, and fully staffing overnight nurse lines is expensive given the workforce shortage. The virtual nursing assistant covers that gap: it runs structured after-hours check-ins, answers care-plan and medication questions from approved content, and screens symptom concerns against validated logic. Low-risk items are resolved or logged; anything that crosses an acuity threshold is escalated in real time to the on-call clinician with the full conversation and chart context. It supports the nurse — it never substitutes for one.

    Coverage that knows its limits

    Reference architecture for how this agent connects to your EHR and data systems.

    Reference architecture for an after-hours virtual nursing assistant

    Key Capabilities

    What the assistant handles overnight — and how it escalates.

    15-Minute Scoping Call

    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.

    Post-discharge follow-up

    Check on recovery, wound status, and adherence in the risky days after discharge.

    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 Call
    01HIPAA logo

    HIPAA

    Health Insurance Portability and Accountability Act

    Protect PHI with privacy-first architecture, encrypted storage and transmission, strict access controls, and traceable audit logs.

    02GDPR logo

    GDPR

    General Data Protection Regulation

    Implement lawful consent flows, data minimization, retention controls, and secure processing for sensitive health data.

    03FHIR logo

    FHIR

    Fast Healthcare Interoperability Resources

    Enable standardized health data exchange across apps, care teams, and systems through robust FHIR-ready APIs.

    04HL7 logo

    HL7

    Health Level Seven International

    Support enterprise-grade interoperability with HL7-based integrations for records, events, and clinical messaging workflows.

    05HITRUST logo

    HITRUST

    Health Information Trust Alliance

    Align security programs to healthcare-specific control and risk management practices trusted by providers and ecosystem partners.

    06HITECH logo

    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.

    07SaMD logo

    SaMD

    FDA Software as a Medical Device

    Plan software quality, traceability, and documentation pathways for products that may require SaMD review and submission.

    08MDR (EU) logo

    MDR (EU)

    Medical Device Regulation (European Union)

    Prepare EU market-ready processes for risk classification, evidence tracking, and lifecycle governance under MDR expectations.

    09SAMHSA logo

    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 Study

    Lera Health: compliant women's health platform

    Related delivery proof from our compliant, AI-assisted healthcare work — not this exact agent.

    Lera Health app across desktop and mobile
    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.

    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.

    Email

    contact@agnotic.com

    Partnerships

    contact@agnotic.com