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QUiPP

Name: QUiPP
Availability: InStock
Rating: 1 (1 reviews)

Empower your clinical decision-making with the validated tool from King's College London. Accurately assess delivery risk for symptomatic and high-risk asymptomatic patients using quantified fFN and cervical length data.

Key Figures

Downloads

23K+

User Rating

1.0/5

Total Ratings

Publisher

King's College London

Precision-Driven Clinical Decision Support

Leverage validated algorithms to accurately assess spontaneous preterm birth risk, enabling data-backed management for high-risk pregnancies.

Validated Predictive Modeling

Utilize an evidence-based algorithm developed by King's College London, backed by a clinical study of over 1,000 women for superior accuracy.

Rapid Point-of-Care Results

Instantly calculate risk percentages by inputting fFN and cervical length, designed for the fast-paced workflow of Labor and Delivery units.

The following screenshots and description are sourced directly from the app's official store listing and are the property of the app developer.

App Store

Screenshots

QUiPP - Logos of King's College London, King's Health Partners, Tommy's charity, and the NHS Foundation Trust for the QUiPP clinical tool. — Logos of King's College London, King's Health Partners, Tommy's charity, and the NHS Foundation Trust for the QUiPP clinical tool.

QUiPP - The symptomatic clinical decision support interface of the QUiPP app for predicting spontaneous preterm birth risk. — The symptomatic clinical decision support interface of the QUiPP app for predicting spontaneous preterm birth risk.

QUiPP - QUiPP app asymptomatic risk calculator for preterm birth prediction — QUiPP app asymptomatic risk calculator for preterm birth prediction

QUiPP - QUiPP app screen showing probability of spontaneous preterm birth for asymptomatic patients across different timeframes — QUiPP app screen showing probability of spontaneous preterm birth for asymptomatic patients across different timeframes

QUiPP - QUiPP app interface displaying spontaneous preterm birth risk percentages for clinical decision support — QUiPP app interface displaying spontaneous preterm birth risk percentages for clinical decision support

Description

A tool to predict spontaneous preterm birth, incorporating fetal fibronectin and cervical length, in symptomatic women and high-risk asymptomatic women. This App was created by Woman’s Health Academic Centre, Kings College London and is based on a study of over 1000 women in conjunction with St. Thomas' Hospital. Quippp is designed to be used by clinicians with access to quantifiable ffn along with some Clinical details. Cervical Length is also required for asymptomatic women. This will be updated once more data becomes available. Further Information can be found at: www.quipp.org