Both WorkingAge and HosmartAI are digital health projects where TMA contributed ICT and telematics expertise.
TELEMATIC MEDICAL APPLICATIONS LIMITED LIABILITY COMPANY
Greek digital health SME applying telematics and AI to hospital systems and neurological disease management.
Their core work
Telematic Medical Applications (TMA) is a Greek SME specializing in digital health technology — specifically the application of telematics, ICT, and AI to clinical and workplace health settings. Their work spans two distinct but connected domains: age-inclusive workplace wellbeing tools and AI-driven hospital process optimization. In both H2020 projects they contributed applied technology capabilities rather than academic research, acting as a practitioner bringing real-world digital health implementation experience. Their focus on neurological diseases in the HosmartAI project indicates specific clinical domain expertise, likely in remote monitoring or decision-support systems for neurological conditions.
What they specialise in
HosmartAI (2021-2024) focuses on AI-based smart hospital development, with TMA explicitly assigned to the neurological diseases pilot.
WorkingAge (2019-2022) targeted smart working environments adapted for workers of all ages, a niche at the intersection of occupational health and digital tools.
TMA's role in HosmartAI Pilot #3 focused specifically on neurological diseases, suggesting applied expertise in this clinical subdomain.
How they've shifted over time
TMA entered H2020 funding in 2019 through WorkingAge, where the emphasis was on occupational health and age-adaptive digital environments — with no specific clinical disease focus visible in the keywords. By 2021, their second project HosmartAI shifted the lens toward hospital AI systems and, more specifically, neurological disease management as a defined pilot area. This trajectory suggests a deliberate move from broad workplace health ICT toward specialized clinical AI, particularly for neurological applications within hospital infrastructure.
TMA is moving toward AI-assisted clinical systems with a neurological disease specialization — a direction that aligns with growing EU demand for hospital digitalization and brain health diagnostics.
How they like to work
TMA has never led an H2020 project — both participations are as a consortium partner, suggesting they prefer or are positioned to contribute specialist capability within larger teams rather than take on coordination overhead. Their two projects involved a combined pool of 35 unique partners across 13 countries, which for just two projects implies they operate in sizeable, multi-stakeholder consortia. This makes them a reliable specialist contributor to large collaborative grants, but businesses or scientists seeking a project lead should look elsewhere.
TMA has built connections with 35 unique partners across 13 countries through only two projects — an unusually broad network for such limited participation, pointing to involvement in large pan-European consortia. No geographic clustering is apparent from the data, suggesting their partnerships are driven by project theme rather than regional proximity.
What sets them apart
TMA occupies a specific niche as a Greek digital health SME with applied expertise in both occupational health tech and hospital AI systems — a combination rarely found in a single small company. Their assignment to the neurological diseases pilot in HosmartAI suggests they bring something concrete to clinical AI deployment, not just generic software development. For consortium builders needing a practitioner-level digital health partner from Southern Europe with demonstrated hospital AI experience, TMA is a credible candidate.
Highlights from their portfolio
- HosmartAITheir largest grant (EUR 286,820) and most technically specific project — TMA led Pilot #3 on neurological diseases within a hospital AI system, showing applied clinical deployment capability.
- WorkingAgeAn early IA project combining occupational health and age-inclusive digital tools, demonstrating TMA's roots in human-centered health technology before their pivot to clinical AI.