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Medical · ObstetricsiPhone · iPad

QBL by Camille

Quantitative blood loss, measured — not estimated.

A fast, bedside calculator that turns measured weights into accurate quantitative blood loss for cesarean and vaginal births — so postpartum hemorrhage is caught early.

QBL by Camille

Cesarean QBL

Lap sponges (12)742 g
Suction canister610 mL
Drape / chux188 g
− Tare (dry)96 g
Quantitative blood loss1,444 mL
Threshold alert · ≥ 1,000 mL
Overview

Why it exists

Estimated blood loss is famously inaccurate, and minutes matter when a patient is bleeding. QBL by Camille replaces guesswork with a clean, gram-to-milliliter workflow built specifically for the labor & delivery bedside.

Pick a Cesarean or Vaginal worksheet, enter the measured weights of sponges, pads, drapes, and canisters, and subtract editable tare weights for the supplies your unit actually uses. The running QBL total updates instantly and clearly flags when you cross hemorrhage thresholds.

Everything happens on-device in seconds. No accounts, no patient identifiers, no network — just a reliable number you can trust and document.

Features

Designed to disappear into the work

Cesarean & Vaginal worksheets

Two purpose-built flows that match how blood loss is actually quantified for each delivery type.

Editable tare weights

Tune the dry weights of your unit's sponges, chux, and drapes once — the math stays correct every time.

Live QBL total

Gram inputs convert to milliliters automatically with a running total that updates as you weigh.

Hemorrhage awareness

Clear visual cues as cumulative loss approaches and crosses clinically meaningful thresholds.

Built for the bedside

Large tap targets, high-contrast numbers, and a layout that works one-handed during an active case.

Private by design

No sign-in, no analytics, no patient data leaves the device. Calculations run entirely offline.

Who it's for

Labor & delivery nursesOB/GYN & midwifery teamsSurgical techs & anesthesiaNursing students & educators

Read exactly how QBL by Camille handles your data.

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