to automate and optimize your workflow
WHO WE ARE &
WHAT WE DO
Capemed is a leading provider of cutting-edge information systems, offering scalable solutions for healthcare providers of all sizes.
Founded by fellow students G. Rigas and D. Gatsios, today we offer services to dozens of clients in Greece.
Capemed designs and develops medical software and information systems for health care units, as well as installs, configures, supplies and supports medical technology products and devices using the most modern methods and development tools available, the long experience of its executives in medical informatics and based on ISO certified processes.
Specifically, Capemed has been certified with:
• ISO 9001:2015 (Quality Management System)
• ISO/IEC 27001:2013 (Information Security Management System)
• ISO/IEC 27701:2019 (Privacy Information Management System)
• ISO 13485:2016 (Medical devices — Quality management systems — Requirements for regulatory purposes)
NetMed360 RIS streamlines operations and automates workflows for radiology departments and diagnostic centers/clinics.
Capemed LIS is the backbone of any medical laboratory.
In order to empower our users to do better, Capemed is continually building upon its technology, so stay in touch to learn about upgrades and other changes.
For a free demo, contact us today.
With our expertise in telemedicine, expert systems, decision support systems and machine learning, we constantly improve our solutions and we work towards introducing new ones.
We have been co‐financed by the ERDF of the EU and Greek national funds through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call RESEARCH – CREATE - INNOVATE (project code:T2EDK-05199) to work in PRIME, "Next generation electronic medical records for personalised medicine and clinical decision support". Essentially an information system for neurologists and their patients.
We have also been funded by the European Commission Horizon 2020 Programme under Grant Agreement 101017424 to participate in the collaborative project TIMELY, "A patient-centered early risk prediction, prevention, and intervention platform to support the continuum of care in coronary artery disease (CAD) using eHealth and artificial intelligence". With the final outcome being a cardiac rehabilitation information system.