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The Kribado is the next generation risk stratification and behaviour setting device for Healthcare Practitioners (HCP) and Healthcare companies

Kribado

by Indigital Technologies LLP

What is it about?

The Kribado is the next generation risk stratification and behaviour setting device for Healthcare Practitioners (HCP) and Healthcare companies. A non-invasive screening protocol that instantly provides a risk score for a patient in the waiting room, making it possible to triage these patients to the relevant areas/procedures by early identification of risk. It is designed to eliminate data collection errors by structuring each screen so that it is easy to use with consistent data. The Kribado will assist physicians in treating patients by implementing a pre-admission risk strat. Kribado consists of a small touch-screen connected to a embeded printer, and operates using AI and risk scoring algorithms trained on perfect human data. The end result is that it helps alert the healthcare professionals to potential behavioral risk factors of each patient in waiting areas. It also gives each company an accurate overview of their surveys, phase IV studies and in-clinic camps.

App Details

Version
5.8.3
Rating
NA
Size
41Mb
Genre
Health & Fitness Medical
Last updated
November 12, 2024
Release date
January 25, 2024
More info

App Screenshots

App Store Description

The Kribado is the next generation risk stratification and behaviour setting device for Healthcare Practitioners (HCP) and Healthcare companies. A non-invasive screening protocol that instantly provides a risk score for a patient in the waiting room, making it possible to triage these patients to the relevant areas/procedures by early identification of risk. It is designed to eliminate data collection errors by structuring each screen so that it is easy to use with consistent data. The Kribado will assist physicians in treating patients by implementing a pre-admission risk strat. Kribado consists of a small touch-screen connected to a embeded printer, and operates using AI and risk scoring algorithms trained on perfect human data. The end result is that it helps alert the healthcare professionals to potential behavioral risk factors of each patient in waiting areas. It also gives each company an accurate overview of their surveys, phase IV studies and in-clinic camps.

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