GrowthChart
Percentiles you can check. Sources you can cite.
Ce document n'est pas encore disponible en Français. Le texte anglais ci-dessous est affiché à la place et fait foi.
À propos de GrowthChart
A paediatric growth assessment tool for clinicians. Z-scores and percentiles for weight-for-age, height-for-age, weight-for-height, BMI-for-age and head-circumference-for-age, computed from the official LMS parameter tables and plotted on reference curves drawn from the same data. Growth-velocity analysis between visits, specialist references for preterm and other populations, a fluid-needs calculator, and a patient record that never leaves the device. A calculation and visualisation tool to support a professional judgment — not a diagnostic device.
Fonctionnalités
Z-Scores From The Official LMS Tables
The published L, M and S parameters, applied with the standard formula and the WHO adjustment for extreme Z values — not reconstructed or approximated
Every Source Cited In-App
An "About the data" screen naming and versioning every reference dataset the app ships, so a value can be traced back to its publication
Reference Curves Drawn From The Data
The percentile and SD lines on every chart come from the same tables as the numbers, with the patient trajectory plotted over them
Growth Velocity Between Visits
Increment analysis referenced to days of life, with the deficit or excess against each curve made explicit
Fluid-Needs Calculator
Holliday–Segar and body-surface-area methods, with the method shown alongside the result
Offline Patient Records
Patients, measurements and computed results stored on the device, with import and export — no server, no account, no upload
Le descriptif détaillé ci-dessous n'est pas encore traduit et s'affiche en anglais.
What this app is, precisely
GrowthChart is a calculation and visualisation tool intended to augment the assessment of a qualified health professional. It is not a diagnostic device and must not replace clinical judgment. Verify critical values independently before acting on them. That notice appears on first launch, has to be acknowledged, and stays reachable from Settings.
Nothing is reconstructed from memory
Every reference dataset the app ships is an official published table, stored as a versioned data file with its citation recorded in the “About the data” screen. Where a dataset was not available during the build, the app does not offer it — a plausible-but-wrong LMS table is the worst possible outcome for a tool like this, worse than a missing feature.
The maths is tested against published values
Z-scores use the standard LMS formula with the WHO adjustment for extreme values beyond ±3 SD. The implementation is pure logic with a test suite that checks computed Z-scores and percentiles against published worked examples and spot values from the source tables.
Ads never appear near a clinical number
Advertising is confined to the home, settings and about screens. No ad is shown on a results screen, a calculation or a chart, where it could distract from a clinical value or be mistaken for part of one. The content rating of every ad requested is capped tighter than the app’s store rating requires, because a child is usually in the room.
Nous contacter
