Four New Hospitals from the Netherlands, France and Turkey Win Awards

HIMSS EuropeHIMSS Analytics Europe, subsidiary of HIMSS Europe, awarded yesterday four new hospitals in Europe with Stage 6 Award during the forth edition of eHealth Week, that is taking place in Dublin from the 13th to 15th of May.

The awarded hospitals are: University Medical Center Utrecht, with more than 1.000 beds; Leiden University Medical Center, with 867 beds, both in the Netherlands; the Ankara Hospital in Turkey, in Istanbul, that has 160 beds; and Hôpital Europeen Georges Pompidou in Paris, France, with around 800 beds.

It is the first time that a Turkish hospital is ranked with a Stage 6. In the Netherlands these new awarded hospitals join the previous one awarded in Mallorca in November: Westfriesgasthuis; and in France this new one also joins the Centre Hospitalier Belfort Montbéliard. In total there are 29 hospitals in Europe recognized with the Stage 6, and two hospitals with the Stage 7, one in Germany and one in Spain.

The European EMR Adoption Model (EMRAM) has been adapted to meet the unique needs of European Healthcare Institutions as a methodology for evaluating the progress and impact of electronic medical record systems in hospitals. Tracking their progress in completing eight stages (0‐7), hospitals can review the implementation and utilization of information technology applications with the intent of reaching Stage 7, which represents a superior electronic patient record environment.

Stage 6 & 7 hospitals provide best practices that other healthcare organizations can study as they strive to use EMR applications to improve patient safety, clinical outcomes and patient care delivery efficiency.

Uwe Buddrus, General Manager, HIMSS Analytics Europe, aims: "We are pleased with the steady increase of hospitals reaching Stage 6, and we are happy to welcome a new country in our ranking, what shows the effort that Public Administrations and hospitals are doing to improve the management and patient’s care through the implementation of electronic medical record."

For more information on the Stage 6 & 7 award, please visit:
http://www.himssanalytics.eu

About HIMSS Analytics Europe
HIMSS Analytics Europe (HAE) provides health care organisations, governments and industry with extensive data resources and services about the adoption and use of healthcare information technology in Europe. HAE's offerings include comparative Hospital IT adoption benchmarking, a European‐formulated EMR Adoption Model (EMRAM) scale, and other resources to help hospital directors, IT executives and clinicians compare and measure their progress and how they compare to others. Country level and application specific reports also provide insights into major IT adoption trends and applications.

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...

Personalized Breast Cancer Prevention No…

A new telemedicine service for personalised breast cancer prevention has launched at preventcancer.co.uk. It allows women aged 30 to 75 across the UK to understand their risk of developing breast...

New App may Help Caregivers of People Ge…

A new study by investigators from Mass General Brigham showed that a new app they created can help improve the quality of life for caregivers of patients undergoing bone marrow...

An App to Detect Heart Attacks and Strok…

A potentially lifesaving new smartphone app can help people determine if they are suffering heart attacks or strokes and should seek medical attention, a clinical study suggests. The ECHAS app (Emergency...

A Machine Learning Tool for Diagnosing, …

Scientists aiming to advance cancer diagnostics have developed a machine learning tool that is able to identify metabolism-related molecular profile differences between patients with colorectal cancer and healthy people. The analysis...

Fine-Tuned LLMs Boost Error Detection in…

A type of artificial intelligence (AI) called fine-tuned large language models (LLMs) greatly enhances error detection in radiology reports, according to a new study published in Radiology, a journal of...

DeepSeek-R1 Offers Promising Potential t…

A joint research team from The Hong Kong University of Science and Technology and The Hong Kong University of Science and Technology (Guangzhou) has published a perspective article in MedComm...

Deep Learning can Predict Lung Cancer Ri…

A deep learning model was able to predict future lung cancer risk from a single low-dose chest CT scan, according to new research published at the ATS 2025 International Conference...