IEEE HMSS 2026: Intelligent Health & Medical Systems & Services NOV.17 – Barcelona, Spain

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Shadi Alzubi

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Feb 24, 2026, 5:15:28 AMFeb 24
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        [Apologies if you got multiple copies of this invitation]

The 2nd International Conference on

Health Medical Systems and Services

HMSS 2026

17–20 November 2026 • Barcelona, Spain

 

HMSS 2026 CFP:

The era of digitized healthcare is transforming rapidly, with intelligent and secure health informatics systems at the heart of this revolution. As artificial intelligence, machine learning, cybersecurity, and digital health technologies continue to advance, their integration into healthcare environments is becoming essential — not only for researchers and innovators but also for start-ups and enterprises aiming to build a smarter, patient-centred future. The need for secure, scalable, and intelligent solutions is driving innovation across hospitals, clinics, public health agencies, and personal health technologies.

Recognizing this importance, the Health Medical Systems ans Services Conference (HMSS 2026) aims to provide a premier interdisciplinary forum for researchers, practitioners, and industry leaders to present and discuss cutting-edge research, innovative systems, and practical solutions in intelligent and secure health informatics. The conference emphasizes the integration of AI, machine learning, cybersecurity, and digital health technologies into healthcare systems to enhance patient outcomes, operational efficiency, and trust in digital healthcare services.

Topics of Interest

We welcome submissions on a wide range of topics, including but not limited to:

  • Artificial Intelligence in Health Informatics
    • Machine learning and deep learning applications in healthcare.
    • Medical image analysis and computer-aided diagnosis.
    • Natural language processing for electronic health records and clinical notes.
  • Precision and Personalized Health
    • Genomic and multi-omics data integration for individualized treatments.
    • Digital twins for health simulation and outcome prediction.
    • Lifestyle, behavioral, and environmental data analytics.
  • Intelligent Health System Design
    • Smart healthcare infrastructure and system architectures.
    • IoT-enabled healthcare platforms.
    • Real-time and edge-based health monitoring systems.
  • Wearable and Implantable Body Sensor Networks (BSN)
    • Sensor design and integration for medical wearables and implants.
    • Secure communication protocols for BSNs.
    • Continuous and remote patient monitoring applications.
  • Cybersecurity in Health Information Systems
    • Privacy-preserving data analytics and encryption techniques.
    • Blockchain-based health data management.
    • Authentication, authorization, and access control in medical systems.
  • AI in Pharmaceutical Research and Drug Development
    • AI-driven drug discovery and compound screening.
    • Intelligent clinical trial design and monitoring.
    • Pharmacovigilance and post-market surveillance.
  • AI Applications in Nursing Practice and Workforce Optimization
    • AI-assisted nursing documentation and clinical support.
    • Predictive analytics for patient deterioration and staffing.
    • Virtual simulation and AI-driven training for nursing education.
  • Health Data Analytics
    • Big data platforms for healthcare analytics.
    • Predictive modeling for disease surveillance and outbreaks.
    • Advanced visualization for clinical and public health insights.
  • Intelligent Automation in Clinical Laboratory Sciences
    • AI-based pathology and laboratory image analysis.
    • Smart laboratory information systems (LIS).
    • Predictive maintenance and quality assurance using AI.
  • AI-Powered Transformation of Healthcare Delivery
    • Patient flow optimization and hospital resource management.
    • Virtual health assistants and smart scheduling systems.
    • AI-enabled population health management.
  • AI-Driven Innovations in Diagnosis and Treatment
    • Multimodal diagnostic systems for complex diseases.
    • Personalized and predictive treatment planning.
    • Clinical decision support systems (CDSS).

Target Audience

HMSS 2026 is intended for a broad, interdisciplinary audience, including:

  • Healthcare IT Architects and System Engineers
  • Medical Informatics and Health Data Scientists
  • AI, ML, and Deep Learning Researchers
  • Clinicians, Nurses, and Allied Health Professionals
  • Cybersecurity and Privacy Specialists
  • Biomedical and Healthcare Engineers
  • Pharmaceutical and Clinical Research Professionals
  • Digital Health Start-ups and Industry Practitioners
  • Health Policy Makers and Regulatory Experts

Submissions Guidelines and Proceedings

 

All information regarding to Submissions Guidelines and Proceedings is available at: https://hmss-conference.org/authors.php

IMPORTANT DATES

Submission Due date                 :           June 10th, 2026

Authors Notification                  :           September 15th, 2026

Camera-ready submission          :           October 06th, 2026

Conference Dates                      :           November 17-20, 2026


Contact:

Please send any inquiry to: in...@hmss-conference.org


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