Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Security Services for the HemaCAM Project.

Kjeld Engel1, Heiko Kuziela, Bernd Blobel

  • 1Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany.

Studies in Health Technology and Informatics
|September 15, 2005
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A System Model and Requirements for Transformation to Human-Centric Digital Health.

Journal of medical Internet research·2025
Same author

The Representational Challenge of Integration and Interoperability in Transformed Health Ecosystems.

Journal of personalized medicine·2025
Same author

Selected Papers from the pHealth 2022 Conference, Oslo, Norway, 8-10 November 2022.

Journal of personalized medicine·2024
Same author

Transforming Ontology Web Language Elements into Common Terminology Service 2 Terminology Resources.

Journal of personalized medicine·2024
Same author

The Representational Challenge for Designing and Managing 5P Medicine Ecosystems.

Studies in health technology and informatics·2024
Same author

Patient-Generated Health Data (PGHD): Understanding, Requirements, Challenges, and Existing Techniques for Data Security and Privacy.

Journal of personalized medicine·2024
Same journal

A GenAI Pipeline for Violinist Kinematic Data Management.

Studies in health technology and informatics·2026
Same journal

AMAL-For-Qatar: A Comprehensive AI Ecosystem for Fetal Ultrasound Analysis - Project Overview and Achievements.

Studies in health technology and informatics·2026
Same journal

Longitudinal Treatment-Aware Multimodal AI for Dermatology: A Scoping Review.

Studies in health technology and informatics·2026
Same journal

Predicting Postpartum Depression Using Imbalance-Aware Machine Learning.

Studies in health technology and informatics·2026
Same journal

Validation of Deep-Learning Models for Autosegmentation of Brain Metastases.

Studies in health technology and informatics·2026
Same journal

Delay-Dependent Gating in Modular RNNs.

Studies in health technology and informatics·2026
See all related articles

The HemaCAM project integrated a robust security infrastructure using Health Professional Cards and a Trusted Third Party. This ensures secure communication and application services for automated blood cell analysis.

Area of Science:

  • Medical image analysis
  • Health informatics
  • Cybersecurity in healthcare

Background:

  • The HemaCAM project focuses on automated differential white blood cell count using image processing.
  • Existing healthcare networks like ONCONET provide a foundation for trustworthy health data exchange.
  • Security is paramount for clinical studies and protecting sensitive patient information.

Purpose of the Study:

  • To integrate a comprehensive security infrastructure into the HemaCAM demonstrator.
  • To provide essential communication and application security services.
  • To leverage existing trusted frameworks for healthcare data management.

Main Methods:

  • Deriving security services from the ONCONET German health network.
  • Implementing a security solution using Health Professional Cards as security tokens.

Related Experiment Videos

  • Establishing an appropriate Trusted Third Party infrastructure.
  • Main Results:

    • Successfully integrated security services ensuring both communication and application security.
    • Demonstrated a trustworthy framework for health professionals and patients within the HemaCAM project.
    • Enabled secure data handling for automated differential white blood cell count.

    Conclusions:

    • The integrated security infrastructure enhances the trustworthiness of automated medical image analysis systems.
    • Health Professional Cards and Trusted Third Party services are effective for securing healthcare applications.
    • The HemaCAM security solution supports the reliable execution of clinical studies.