New FP7 eHealth Project - MEDNet

MEDNet Project will develop a medical network that addresses the problems of providing health care from a distance. The medical network will be supported by expert physician located in urban cities of Latin America. The medical applications will be vary from gynaecology, paediatric, cardiology to typical infectious diseases for the region such as malaria and tuberculosis.

The examinations will involve ultrasound examinations, ECG tests, blood test and supporting medical diagnosis. All the patient information, extracted from the examinations, along with patient’s history, will be stored in a health care database, along with the demographic information and medication prescription.

MEDNet project will connect isolated regions of the Amazon, in two different countries: Brazil, Peru. Moreover MedNet will make use of AmerHis system (satellite communication) based on DVB-RCS providing QoS for real-time communication and collaboration.

MEDNet will make use of European standards for the communication and storage and medical data presentation.

The project will empower medical doctors to constantly and remotely keep track of their patients with minimum effort, assisted by an intelligent automated infrastructure. Furthermore, remote doctors will be able to share and request assistance form expert doctors located in urban cities.

A sophisticated Collaboration Model will manage the whole service and will be aware of each patient’s medical record, providing an information channel between the medical staff, the patients and their carers.

For further information, please visit:
http://www.e-mednet.com

Related article:

  • FP7 eHealth Projects: MEDNet

Most Popular Now

Open Medical Works with Moray's Dig…

Open Medical is working with the Digital Health & Care Innovation Centre’s Rural Centre of Excellence on a referral management plan, as part of a research and development scheme to...

Generative AI on Track to Shape the Futu…

Using advanced artificial intelligence (AI), researchers have developed a novel method to make drug development faster and more efficient. In a new paper, Xia Ning, lead author of the study and...

AI could Help Improve Early Detection of…

A new study led by investigators at the UCLA Health Jonsson Comprehensive Cancer Center suggests that artificial intelligence (AI) could help detect interval breast cancers - those that develop between...

Reorganisation, Consolidation, and Cuts:…

NHS England has been downsized and abolished. Integrated care boards have been told to change function, consolidate, and deliver savings. Trusts are planning big cuts. The Highland Marketing advisory board...

AI-Human Task-Sharing could Cut Mammogra…

The most effective way to harness the power of artificial intelligence (AI) when screening for breast cancer may be through collaboration with human radiologists - not by wholesale replacing them...

Siemens Healthineers infection Control S…

Klinikum Region Hannover (KRH) has commissioned Siemens Healthineers to install infection control system (ICS) at the Klinikum Siloah hospital. The ICS aims to effectively tackle nosocomial infections and increase patient...

AI Tool Uses Face Photos to Estimate Bio…

Eyes may be the window to the soul, but a person's biological age could be reflected in their facial characteristics. Investigators from Mass General Brigham developed a deep learning algorithm...

Philips Future Health Index 2025 Report …

Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, today unveiled its 2025 Future Health Index U.S. report, "Building trust in healthcare AI," spotlighting the state of...

AI-Powered Precision: Unlocking the Futu…

A team of researchers from the Department of Diagnostic and Therapeutic Ultrasonography at the Tianjin Medical University Cancer Institute & Hospital, have published a review in Cancer Biology & Medicine...

AI Model Improves Delirium Prediction, L…

An artificial intelligence (AI) model improved outcomes in hospitalized patients by quadrupling the rate of detection and treatment of delirium. The model identifies patients at high risk for delirium and...

Building Trust in Artificial Intelligenc…

A new review, published in the peer-reviewed journal AI in Precision Oncology, explores the multifaceted reasons behind the skepticism surrounding artificial intelligence (AI) technologies in healthcare and advocates for approaches...

SALSA: A New AI Tool for the Automated a…

Investigators of the Vall d'Hebron Institute of Oncology's (VHIO) Radiomics Group, led by Raquel Perez-Lopez, have developed SALSA (System for Automatic Liver tumor Segmentation And detection), a fully automated deep...