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Related Experiment Video

Updated: Apr 5, 2026

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools

Published on: June 20, 2020

A software tool to analyze clinical workflows from direct observations.

Marco Schweitzer¹, Nelia Lasierra², Alexander Hoerbst¹

¹Research Division for eHealth and Telemedicine, UMIT - University for Health Sciences, Medical Informatics and Technology, Hall in Tyrol, Austria.

Studies in Health Technology and Informatics

|August 12, 2015

Summary

Managing clinical process observations requires reliable data. We developed a software tool for systematic data collection and analysis of clinical workflows, successfully applied to diabetes consultations.

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Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

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Published on: September 26, 2018

Area of Science:

Health Informatics
Clinical Process Analysis
Software Engineering

Background:

Effective management of observational data from clinical processes is crucial for reliable analysis.
Existing observation allocation tools lack systematic data collection capabilities for specific workflow recordings.

Purpose of the Study:

To present a novel software tool designed to streamline the analysis of clinical process observations.
To demonstrate the tool's utility in systematic data collection and analysis within a real-world clinical setting.

Main Methods:

Development of a specialized software tool for clinical observation data management.
Implementation and application of the tool in the OntoHealth project for diabetes routine consultations.

Main Results:

The software tool facilitates the systematic collection, storage, and analysis of clinical process observations.
Successful application in the OntoHealth project for analyzing diabetes consultation workflows.

Conclusions:

The developed software tool enhances the reliability, validity, and viability of clinical process observational data.
This tool provides a systematic approach to managing and analyzing clinical workflow recordings, particularly for conditions like diabetes.