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Ethical Standards I

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The American Nurses Association (ANA) created and implemented the first nationally accepted Code of Ethics for Nurses with Interpretive Statements. The Code of Ethics is a living document regularly updated by the ANA and establishes an ethical standard that is non-negotiable for nurses in all roles and settings.
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Updated: Jun 8, 2026

A Detailed Protocol for Physiological Parameters Acquisition and Analysis in Neurosurgical Critical Patients

A Detailed Protocol for Physiological Parameters Acquisition and Analysis in Neurosurgical Critical Patients

Published on: October 17, 2017

Data-centric privacy protocol for intensive care grids.

Jesus Luna¹, Marios Dikaiakos, Manolis Marazakis

¹Barcelona Digital Centre Tecnologic, 08018 Barcelona, Spain. jluna@bdigital.org

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

|September 30, 2010

Summary

This study enhances health grid security for intensive care units (ICUs) by introducing a mandatory access control model and a revised privacy protocol. The new system protects patient data and metadata, ensuring compliance and comparable performance.

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Area of Science:

Health Informatics
Computer Science
Information Security

Background:

Modern e-Health systems necessitate robust computing and storage, leading to health grid systems.
Intensive care medicine generates high data volumes, exemplified by the ICGrid system.
Securing patient data transmitted over public networks is crucial due to privacy regulations and cyber threats.

Purpose of the Study:

To enhance the security and privacy of patient data within health grid systems.
To address the challenges of protecting sensitive medical information in intensive care units.
To develop and evaluate a novel security protocol for health grid environments.

Main Methods:

Implementation of a mandatory access control (MAC) model for patient metadata protection.
Revision of a privacy protocol with a "quality of security" (QoS) metric for data assurance.
Performance evaluation of the enhanced protocol against existing approaches.

Main Results:

The proposed MAC model effectively protects patient metadata.
The revised privacy protocol, incorporating a QoS metric, improves data security and privacy assurance.
The new protocol demonstrates performance comparable to existing security solutions.

Conclusions:

The developed security enhancements are vital for the integrity and confidentiality of patient data in health grids.
The "quality of security" metric provides a quantitative measure for assessing data protection effectiveness.
The research contributes a viable solution for secure and private e-Health data management in critical care settings.