An early-warning layer for emergency department waiting rooms

Waiting-room deterioration should not go unnoticed.

Monitor AI is building a contactless monitoring system designed to alert nurses when a waiting patient may need reassessment, helping clinical teams maintain visibility between check-ins.

01 / Clinical context

Designed to support nurses, not replace clinical assessment.

Concept interfaceWorkflow validation
Waiting Room Overview
Observation active
Prioritized queue

Patients to review

Patient IDWaitSignal historyStatus
WR-018
01:12Prioritized
WR-027
00:48Review
WR-011
00:31Observing
WR-032
00:19Observing
Prioritized reassessment alertPossible change flagged for WR-018Review context and reassess when appropriate.
01Passive observation
02Reassessment prioritized
Dashboard concept · Not a deployed clinical systemMON / INT / 001
01The current gap

Between reassessments

Waiting patients can change while clinical attention is needed elsewhere.

Emergency teams work under intense demand. Continuous direct observation of every waiting patient is not always possible.

Monitor AI is exploring how a passive early-warning layer could help teams maintain visibility and identify patients who may require reassessment sooner.

Check-in
Visibility gap
Reassessment
02How it works

From observation to human review

A focused path to prioritized reassessment.

The concept turns contactless observations into a clear prompt for clinical review. It does not diagnose or determine care.

  1. 01

    Contactless observation

    A passive layer is designed to maintain visibility between check-ins.

  2. 02

    Possible change flagged

    Observed signal patterns may indicate that a patient should be reviewed.

  3. 03

    Patient prioritized

    The dashboard places the patient into a clear reassessment queue.

  4. 04

    Nurse receives alert

    A prioritized alert provides context without making a clinical decision.

  5. 05

    Clinician reviews patient

    The nurse decides whether and how to reassess.

03Product concept

One shared view

Signal, context, and priority without losing the clinical picture.

The dashboard concept is designed to help nurses understand which waiting patients may need attention and why they were prioritized.

Concept interfaceWorkflow validation
Waiting Room Overview
Observation active
Prioritized queue

Patients to review

Patient IDWaitSignal historyStatus
WR-018
01:12Prioritized
WR-027
00:48Review
WR-011
00:31Observing
WR-032
00:19Observing
Prioritized reassessment alertPossible change flagged for WR-018Review context and reassess when appropriate.
01Passive observation
02Reassessment prioritized
Dashboard concept · Not a deployed clinical systemMON / INT / 001
Contactless observation Prioritized reassessment alerts Human review required
04Nurse workflow

The nurse remains the decision-maker

An alert is the start of a clinical review, not the conclusion.

Monitor AI is intended to fit around the judgment and established practice of clinical teams. A prioritized alert suggests that a patient may require reassessment. The clinician decides what happens next.

Example reassessment flow14:36—14:42
  1. Patient remains in waiting area
  2. Possible change flagged
  3. Prioritized reassessment alert
  4. Nurse reviews patient and determines next step
05Clinical approach

Design principles

Building carefully for a high-stakes environment.

01

Clinician in the loop

Monitor AI supports clinical judgment. Nurses remain responsible for patient assessment and care decisions.

02

Prioritized, explainable alerts

Alerts are intended to present useful context and help teams understand why a review was prioritized.

03

Built around reassessment

The workflow is being designed to complement existing waiting-room check-ins and escalation practices.

04

Privacy and safety from the beginning

Privacy, safety, and appropriate clinical use are foundational questions in product development.

06Current stage

Early prototype · Workflow validation

Help shape an appropriate path from concept to clinical pilot.

We have developed an early prototype and are working with healthcare professionals and innovation partners to validate the workflow, technical performance and appropriate pilot pathway.

We are looking to speak with emergency nurses, patient-safety leaders, hospital innovation teams and clinical pilot partners.

Start a Conversation
07Team

About Monitor AI

A focused team building with clinical input.

Monitor AI is an early-stage healthcare technology company developing a contactless monitoring and early-warning concept for hospital waiting rooms.

The team is currently focused on clinical workflow discovery, responsible product development, and conversations with potential validation partners.

Partnership conversations

Bring a clinical, operational, or technical perspective.

We are seeking thoughtful feedback and conversations about workflow validation, pilot pathways, and responsible development.

Especially interested in hearing fromEmergency nurses, patient-safety leaders, and hospital innovation teams.

Prototype form · No information is transmitted or stored.