DatAIMed Srl

​Who we are

DatAIMed is a European health-tech company developing artificial intelligence solutions to support healthcare professionals in accessing the best available scientific evidence and improving clinical decision-making. The company was founded to address one of the major challenges of modern medicine: the growing difficulty for clinicians, researchers, and healthcare organizations to keep up with the rapidly expanding scientific literature and translate the most reliable evidence into daily clinical practice.

DatAIMed was created by a multidisciplinary team of clinicians, engineers, and AI researchers who combine medical expertise with advanced technological capabilities. The company’s mission is to transform the vast and complex body of biomedical literature into structured, accessible knowledge that can be rapidly consulted and applied in clinical and research settings.

This challenge has important implications not only for clinical quality but also for healthcare system sustainability. According to the OECD, up to 20% of healthcare spending may be linked to inefficiencies and waste, often related to inappropriate treatments, delayed diagnoses, and insufficient adherence to scientific evidence and clinical guidelines. In Italy, analyses by the GIMBE Foundation estimate that these inefficiencies generate more than €14 billion in avoidable costs each year.

DatAIMed was founded to help close the gap between scientific knowledge and clinical practice by making medical evidence easier to access, analyze, and apply in real time. The company’s long-term vision is to become a European leader in Evidence-Based Clinical Decision Support, helping healthcare professionals and institutions deliver higher-quality care, improve patient outcomes, and increase the efficiency and sustainability of healthcare systems.

What we do

DatAIMed develops an Evidence-Based Clinical Decision Support System (CDSS) designed to help healthcare professionals, researchers, universities, and healthcare organizations analyze and apply scientific evidence more effectively in clinical practice and research.

The platform enables users to query millions of scientific publications from international databases using natural language and receive structured, traceable, and evidence-based answers derived from the most relevant and methodologically reliable studies. This allows clinicians and researchers to access critical knowledge in seconds—information that would normally require hours or days of manual literature review.

From a technological perspective, DatAIMed is built on an advanced architecture combining multi-agent artificial intelligence systems, Retrieval Augmented Generation (RAG), and clinical Knowledge Graphs. Specialized AI agents collaborate to perform tasks such as literature search, study screening, methodological evaluation, and evidence synthesis. These agents identify the most relevant studies, assess their methodological quality, and extract key findings.

By automating and accelerating complex evidence analysis processes, DatAIMed significantly reduces the time required to consult scientific literature, conduct literature reviews, and synthesize research findings. For hospitals and healthcare organizations, this translates into more informed clinical decisions, improved adherence to evidence-based medicine, reduced ineffective or unnecessary treatments, and more efficient use of healthcare resources, ultimately contributing to better patient outcomes and stronger return on investment for healthcare systems.