GRACE iconI AM GRACEEvidence-based surge response for labor & delivery
The L&D surge operations platform

Replace chaos with a named plan when the bus pulls up.

GRACE is the live operating picture for high-acuity shifts on Labor & Delivery. Four color-coded surge bands, weighted acuity per room, AWHONN-aligned staffing, a 2-hour level forecast, and an 8-hour staffing forecast — in one dashboard every charge nurse, manager, and executive sees at the same time.

  • Name the surge level before the unit goes underwater — Green, Yellow, Red, Black
  • AWHONN 2022 nurse-to-patient ratios, 1:1 rooms, and shortfall counter — live
  • 2-hour level forecast and 8-hour staffing-demand forecast, with drivers spelled out
  • Connects to Epic, TeleTracking, and any HL7 v2 / FHIR R4 / REST system
Live dashboard
I Am Grace Medical Center · L&D
Level Yellow
Acuity
68.4
Nurse cap.
72
Open rooms
2 / 25
Prediction
↑ Red 2h
Labor 4
5.2
Active labor < 4 cm · routine
Labor 7
16.8
Mag + pre-eclampsia · 1:1 nursing
AI
Shift intelligence
Unit feels “controlled chaos” — acuity trending up with 3 active inductions. Prediction engine forecasts Red in ~2 hours. Consider activating on-call now.
Trend (last 12h)
Integrations
HL7 v2FHIR R4REST API
Auto-syncing from Epic ADT feed
4
surge bands
30+
weighted acuity factors
2h / 8h
level + staffing forecasts
AWHONN 2022
ratios live on screen
Why this matters

Labor & Delivery is the highest-acuity unit in the hospital — and the one most often run on whiteboards.

Peer-reviewed nursing research has documented what unstructured surge response costs. GRACE makes the response explicit, shared, and defensible.

Staffing adherence is uneven — and concentrates where it hurts most.

A national sample of inpatient maternity RNs found hospital-level variation in reported adherence to AWHONN staffing guidelines, with gaps clustering where patients face higher clinical or social complexity.

GRACE is operational decision support. It does not replace AWHONN standards, employer staffing policy, collective bargaining, or clinical judgment, and it was not evaluated in the studies cited. See the full evidence review →

The surge framework

Four bands. Named indicators. Defined actions.

Every band pairs a clinical definition with specific indicators, immediate actions, and resources that ratchet up by level — turning “it feels heavy tonight” into a shared, documented activation.

See the full playbook →
GreenLevel 1 · Within capacity
Operations as usual.

Staffing matches volume and acuity per AWHONN. Census below unit maximum across the division.

YellowLevel 2 · Near capacity
Call it early; use the levers.

Activate on-call staff, huddle across units, facilitate discharges, and execute Phase I placement.

RedLevel 3 · Exceeded capacity
Division is in surge.

Exec notifications fire. Phase II placement and divisional coordination activate. Ratios tracked and documented.

BlackLevel 4 · Crisis
House-wide activation.

ED, ICU, lab, pharmacy, and executive leadership coordinated. Safe Harbor–style documentation and Phase III placement on the record.

The GRACE picture

One live unit, seen the same way by everyone who needs to act.

Three promises separate GRACE from whiteboards, group texts, and census dashboards.

01

One shared state

Charge desk, manager’s office, on-call phone, executive huddle — same live unit. Room occupancy, acuity, AWHONN ratios, and surge level sync automatically. No save-and-refresh, no parallel spreadsheets.

02

Evidence-driven, not opinion-driven

Every room’s acuity sums weighted clinical factors from the published staffing literature. Nurse capacity is checked against AWHONN 2022 ratios on every refresh. When ratios slip, GRACE shows the deficit in RNs — not vibes.

03

Escalation with a paper trail

Surge-level changes, critical rooms, rescue events, and staffing-forecast gaps are logged, timestamped, and routed to the right roles. Activation is defensible, and the next debrief starts with data instead of guessing.

Built for the people who actually run the unit

One platform, three jobs it does well.

Charge nurses get a live cockpit. Managers get a consistent escalation language. Executives get a scorecard that stops surprising them on the Monday Quality huddle.

Charge nurses

A cockpit for the shift.

  • See every room’s acuity, factors, and nurse assignment at a glance
  • Run the AWHONN shortfall counter before you have to ask for help
  • Get a 2-hour level forecast with drivers, not a vibe
  • Capture rescue, missed-care, and well-being events inline
Unit managers

A shared escalation language across the division.

  • Green → Yellow → Red → Black bands with defined indicators and actions
  • Notification matrix routes alerts by job role, not by best-guess group text
  • Phase I–III placement scripts activate when beds disappear
  • Time-weighted AWHONN adherence on the history page — per shift, per week
Executives & risk

Surge response you can see before the board does.

  • Unit-wide heatmaps, surge-distribution charts, and trending for quality review
  • Hospital-level AWHONN adherence tied to cesarean and VBAC trends
  • Documented activation with timestamps — defensible in M&M and litigation
  • HIPAA-aware architecture; evaluation tier runs on synthetic data until BAA is signed
What changes on Monday

Same unit, same census — a different kind of shift.

Before GRACE
  • Whiteboard in the break room, no one else can see it
  • “We think we’re yellow-ish” — no shared definition
  • On-call activation lags the surge by 90 minutes
  • AWHONN adherence is a quarterly survey, not a live metric
  • Shift story dies with the charge nurse going home
  • Executive huddle learns about the near-miss on Monday
With GRACE
  • One live dashboard, every screen, every role
  • Green / Yellow / Red / Black with defined triggers and actions
  • 2-hour forecast names the escalation before it lands
  • AWHONN 1:1 rooms and shortfall counter visible on every refresh
  • Structured debrief with missed-care, rescue, and well-being captured
  • Time-weighted adherence and outcome trends on the quality scorecard
How it works

From signup to a documented shift, in three moves.

  1. 01

    Register your unit in minutes

    Create the hospital account, add rooms, and invite your charge nurses and managers. No PHI required for evaluation — start with synthetic data or placeholders.

  2. 02

    Run a real shift — or a training drill

    Add patients to rooms, apply the 30+ acuity factors, and watch the surge band, AWHONN shortfall, and 2-hour forecast respond live. Training Mode lets you rehearse without touching live data.

  3. 03

    Connect EHR and wire notifications

    Turn on HL7 v2 ADT, FHIR R4, or the REST API when you’re ready. Configure the Job-Role × Notification-Type matrix so the right people get the right alert — and only those people.

Grounded in the research

Built on the published literature charge nurses already trust.

GRACE stitches together the operational implications of peer-reviewed nurse-staffing research. Citations link directly to the sources; a fuller tiered list lives on the Evidence page.

AWHONN-aligned, acuity-weighted staffing — because guideline adherence isn’t uniform.

Simpson et al. (2023) show hospital-level variation in AWHONN adherence and discuss implications for equity. GRACE surfaces shortfall in real time so adherence becomes operational rather than aspirational.

Predicting staffing demand was already a solved concept.

Simpson (2015) validated that an AWHONN-based model with guideline-driven gap analysis reliably predicts staffing needs in a large-volume L&D unit. GRACE brings that idea to every shift, not only annual planning.

Staffing shows up in outcomes — and in the frontline experience.

Lyndon et al. (2025) link staffing adherence to cesarean and VBAC rates at the hospital level. Simpson, Lyndon, & Ruhl (2016) document the frontline consequences of short staffing. The same data that helps run the shift builds the quality case upstairs.

GRACE is operational decision support; it was not evaluated in the cited studies and does not replace AWHONN standards, employer policy, or clinical judgment. Browse the full evidence page →

Trust, clearly stated

Evaluation-friendly by default, enterprise-ready when you are.

Evaluation-tier by default

Self-serve access under a clickwrap Subscription Agreement. Paid production use requires a separately executed Order Schedule.

Read the agreement

No PHI without a BAA

Evaluation access is explicitly no-PHI. When you’re ready for Protected Health Information, we execute a companion Business Associate Agreement.

Privacy Policy

California-governed, Texas-built

Governed under California law with exclusive venue in Los Angeles County. Framework born from leadership work at a leading hospital in Texas with Amy Poso, RN, BSN.

Terms & Conditions

Integrates with what you already run

HL7 v2 ADT, FHIR R4, and generic REST — ingest Epic, TeleTracking, and other hospital systems without double entry.

See the product

Register your L&D unit and go live in minutes.

Free evaluation, no PHI required to start, HL7/FHIR/REST integrations ready when you are. Paid production use and PHI require a separately executed Order Schedule and BAA.