Danish Biometrics and Copenhagen Hospital Corporation in strategic joint venture

Danish BiometricsDanish Biometrics enters into an agreement with Copenhagen Hospital Corporation about testing, research and development on biometric recognition.

Biometric recognition is a science and technology for authentication (identification/verification) of a human being based on the human beings own (unchangeable) physiological or behavioural characteristics (e.g. fingerprint, iris, gait or DNA). Many experts consider Biometrics to be the most innovative IT-technology in the last decade.

The objective of the agreement is to result in solutions for secure log-on procedures when doctors and nurses for instance are entering the Electronic Patient Records (EPR) as part of their daily routines.

High security needs (tracking) and privacy rules are required as EPR contains information about health which is regarded as Sentitive Personal Data. At the same time hospital staff must have quick and effective access to the case record and the patient data which are needed due to the treatment.

Biometrics is an approach to solve both challenges at the same time. An operation which can be perfomed within 1-2 seconds with the use of a single finger touch, iris scanning or maybe another biometric option would provide an advantage for the staff. Simultaneously the process ensures access to the right person as the biometric identifier is unique between individuals.

An important part of the solution would be to integrate biometrics into existing IT Architecture with Single Sign On (SSO) and demand for convergence. The joint venture is to be continued after 1th January 2007 within the responsibility of the new Region Hovedstaden as stipulated in the agreement.

"I am very enthusiastic about the joint venture between Danish Biometrics and such a huge and important Organization as Hovedstadens Sygehusfællesskab", says Director Frederik Kortbæk, Chairman of the Board of Danish Biometrics. "It's a great challenge for us and we and our co-partners will indeed live up to the confidence that H:S has shown to us quite visionary.

The project involves the biggest pilots and further research on biometrics ever seen in Denmark before and has interesting international perspectives as to EPR.

On sight a biometric log-on system could be extended to other parts of the Health Care System, e.g. homecare service, general practitioners, pharmacies and last not least in relation to each individual patient for the use of a multi-service smart card with the biometric data of each individual stored in the microchip.

I am aware of that the EU Commission already has shown interest in the joint-venture and it's potential. I have the strongest opinion that Danish Biometrics is a unique Organization of Universities and private companies, who will be able to complete this exciting task successfully and the Consortium is ready to contribute to the Danish dream of creating a super system for hospitals in international context as far as for example security in EPR is concerned".

For further information please contact Mr. Frederik Kortbæk, Telephone + 45 2625 4550 – mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

About Hovedstadens Sygehusfællesskab
H:S today manages 6 hospitals among others Rigshospitalet the biggest hospital in Denmark with over 7000 employees. As of 1. January 2007 in connection with a new Danish structural reform Copenhagen Hospital Corporation will be part of Region Hovedstaden to be the biggest hospital system in Denmark with approx. 30.000 employees, a capacity of almost 6000 beds to serve a region with over 1.6 mill Citizens.

About Danish Biometrics
Danish Biometrics is the biggest biometrics research consortium and network in Scandinavia with almost 30 members from at home and abroad among others Aalborg University, IT University of Copenhagen, Technical University of Denmark, Risø National Laboratory, Roskilde University, The Innovation Council, Confederation of Danish Industries, Precise Biometrics, Siemens, Steria, Unisys, International Biometric Group and Quard Technology.

Most Popular Now

Most Advanced Artificial Touch for Brain…

For the first time ever, a complex sense of touch for individuals living with spinal cord injuries is a step closer to reality. A new study published in Science, paves...

Predicting the Progression of Autoimmune…

Autoimmune diseases, where the immune system mistakenly attacks the body's own healthy cells and tissues, often have a preclinical stage before diagnosis that’s characterized by mild symptoms or certain antibodies...

Major EU Project to Investigate Societal…

A new €3 million EU research project led by University College Dublin (UCD) Centre for Digital Policy will explore the benefits and risks of Artificial Intelligence (AI) from a societal...

Using AI to Uncover Hospital Patients�…

Across the United States, no hospital is the same. Equipment, staffing, technical capabilities, and patient populations can all differ. So, while the profiles developed for people with common conditions may...

New AI Tool Uses Routine Blood Tests to …

Doctors around the world may soon have access to a new tool that could better predict whether individual cancer patients will benefit from immune checkpoint inhibitors - a type of...

New Method Tracks the 'Learning Cur…

Introducing Annotatability - a powerful new framework to address a major challenge in biological research by examining how artificial neural networks learn to label genomic data. Genomic datasets often contain...

Picking the Right Doctor? AI could Help

Years ago, as she sat in waiting rooms, Maytal Saar-Tsechansky began to wonder how people chose a good doctor when they had no way of knowing a doctor's track record...

From Text to Structured Information Secu…

Artificial intelligence (AI) and above all large language models (LLMs), which also form the basis for ChatGPT, are increasingly in demand in hospitals. However, patient data must always be protected...

AI Innovation Unlocks Non-Surgical Way t…

Researchers have developed an artificial intelligence (AI) model to detect the spread of metastatic brain cancer using MRI scans, offering insights into patients’ cancer without aggressive surgery. The proof-of-concept study, co-led...

Deep Learning Model Helps Detect Lung Tu…

A new deep learning model shows promise in detecting and segmenting lung tumors, according to a study published in Radiology, a journal of the Radiological Society of North America (RSNA)...

New Study Reveals AI's Transformati…

Intensive care units (ICUs) face mounting pressure to effectively manage resources while delivering optimal patient care. Groundbreaking research published in the INFORMS journal Information Systems Research highlights how a novel...

One of the Largest Global Surveys of Soc…

As leaders gather for the World Economic Forum Annual Meeting 2025 in Davos, Leaps by Bayer, the impact investing arm of Bayer, and Boston Consulting Group (BCG) announced the launch...