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

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

Published on: September 26, 2018

Addressing the future of clinical information systems--Web-based multilayer visualization.

Chueh-Loo Poh¹, Richard I Kitney, Rasu B K Shrestha

¹Department of Bioengineering, Imperial College, London SW7 2BX, UK.

IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society

|March 30, 2007

Summary

New clinical information systems (CIS) technology will integrate molecular biology data across the human organism. A proposed web-based, multilayered visualization interface supports this for molecular-based medicine.

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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

Area of Science:

Biomedical Informatics
Medical Imaging
Molecular Biology

Background:

The rise of molecular and cellular biology is driving the development of molecular-based medicine.
Existing clinical information systems (CIS) require enhancement to support this paradigm shift.
Seamless data integration across biological scales is crucial for future medical practice.

Purpose of the Study:

To address key issues in developing new technology for clinical information systems (CIS).
To propose a novel approach for visualizing data across the Biological Continuum.
To present a web-based, multilayered visualization interface for molecular-based medicine.

Main Methods:

Development of a multilayered visualization interface based on web technology.
Creation of a visualization package for 2D and 3D image data.
Application of the interface to visceral (MR knee) and cellular (endothelial nuclei) imaging data.

Main Results:

A functional visualization interface operating across the Biological Continuum was developed.
The interface supports both 2D and 3D image data visualization.
Successful application examples demonstrate utility at visceral and cellular levels.

Conclusions:

Clinical information systems must evolve to span the Biological Continuum for molecular-based medicine.
A web-based, multilayered visualization interface offers a viable solution.
This technology facilitates integrated data analysis from macroscopic to molecular levels.