Dr. Rakesh Kumar
CHART 06 / VITALS CAPTURE

IoT Vitals Capture Kiosk

A self-service kiosk at registration that records a patient's height, weight, and vital parameters digitally — for patients who walk in themselves, or who arrive by wheelchair or trolley with an attendant or health worker.

OPD + Emergency Proposal

Overview

Not every patient has baseline vital parameters recorded at the time of registration — it depends on how busy the counter is and who happens to check. This kiosk closes that gap by capturing height, weight, and vitals digitally for every patient at the point of registration, whether they are walking in, wheeled in, or brought on a trolley.

What it captures

Photograph of a multi-mode weighing scale mounted on a wall with a digital display reading Weighing Scale, showing three separate live readings side by side: Standing Weight 68.5 kg, Wheelchair Weight 82.3 kg, and Stretcher Weight 74.6 kg. Below the display are three separate weighing platforms with instructional signage: on the left, a man stands directly on a floor scale under a sign reading Stand on the Scale; in the middle, a man sits in a wheelchair positioned on a wheelchair-accessible scale platform under a sign reading Wheelchair on the Scale, so the wheelchair itself is weighed with the patient in it; on the right, a man lies on a wheeled stretcher positioned on a stretcher scale platform under a sign reading Stretcher on the Scale, so the stretcher itself is weighed with the patient on it.
Multi-mode weighing scale — one display, three weighing platforms, so a patient's weight is captured whether they walk in, arrive by wheelchair, or arrive on a stretcher

A single "weight" field on a registration form assumes every patient can step onto a standard scale — which is exactly what breaks down for a patient who can't stand unsupported or who arrives already lying down. This is the piece of hardware that makes "captures height and weight for every patient" actually true: a standing platform for walk-in patients, a wheelchair-rated platform that weighs the patient and chair together (with the chair's tare weight subtracted), and a stretcher-rated platform that does the same for a patient on a trolley. Whichever mode a patient arrives in, the kiosk records a real weight — not a guess, and not a blank field.

Where the data goes

Every reading is logged to the database automatically, and the captured vitals are printed directly on the patient's registration slip — so the treating doctor has them on hand at the very first consultation, without waiting on a separate vitals check.

Sample Vital Parameters slip with a dark blue header. Listed values: BP 118/76 mmHg, Pulse 86 per minute, Respiratory Rate 18 per minute, SpO2 98 percent, Temperature 98.4 degrees Fahrenheit, Height 172 cm, Weight 68 kg, BMI 22.9 kg per square metre, Blood Sugar 112 mg/dL. A footer line reads Recorded By: IoT, and Recorded Date and Time: 09/05/2026 10:21.
Sample Vital Parameters output — the full set of readings the kiosk captures, tagged "Recorded By: IoT" with a timestamp, ready to print on the registration slip

This is the actual shape of what reaches the doctor: nine structured values — blood pressure, pulse, respiratory rate, SpO₂, temperature, height, weight, a calculated BMI, and blood sugar — each one a discrete labelled field rather than a line of prose, along with who (or what) recorded it and exactly when. The Recorded By: IoT tag matters as much as the numbers themselves: it lets the record — and later, any model trained on it — distinguish a kiosk-captured reading from one entered by a nurse or typed in by hand, which is exactly the kind of provenance a structured, module-tagged dataset (like the sample dataset) depends on.

Scope

Proposed for deployment at both OPD and Emergency registration, alongside a hospital's existing electronic HIS/registration workflow. Also includes an AI-based triage-scoring layer built on top of the captured vitals — not automated capture alone.