The Drug Check eTEN Project

Drug CheckThe objective of the Drug Check project is to validate an on-line, pan-European service, which gathers, organises, stores, makes available and presents information and data covering pharmaceuticals and their interactions. The service provides a user-friendly, reliable, intelligent and fast mechanism to accept questions and advanced queries, process them and offer accurate answers justified with the relevant bibliography, in order to assist healthcare professionals in making the proper decisions on medication prescriptions and pharmaceutical treatments both in and out of the hospital without interrupting healthcare delivery.

The service will be offered as a web-based/mobile application to healthcare professionals and institutions (e.g. hospitals, research organisations) following the ASP (application service provider) model, and its functionality will facilitate users to gain optimum access to the service at any time, from any place using various devices (computer, mobile phones, etc), at low cost and with enhanced userfriendliness and usability, in order to become a fast, reliable, accurate and effective companion to their everyday practise. A consortium of academic experts, IT integrators and Consulting companies will offer the service via Internet and mobile platforms to healthcare professionals.

It is envisaged that the service, after its deployment, will be an invaluable companion to a wide range of healthcare professionals, by enhancing their skills and empowering their decision-making processes, thus reducing unwanted effects and improving cost-effectiveness of patients' treatment and therefore contributing to better healthcare services for all citizens.

The DrugCheck service can be a valuable tool to all healthcare professionals who want fast access to trusted and verified information (through latest bibliography and publications) about potential interactions between pharmaceuticals. The service is not limited to the information offered from the drug's documentation provided from the company but offers information on mechanisms and results of interactions between pharmaceuticals.

DrugCheck service offers the following functionality:

  • Drug Interactions: The service describes the various types of interactions between pharmaceuticals (and also nutritional elements).
  • Detailed description of the interaction mechanism and the mechanism in case of special patients groups, location of interaction, pharmacokinetic properties etc.
  • Reference to the necessity of the measurement of the levels of some of the medicines already administered or scheduled to be administered to the patient, in order to decide the right dose of the medicine to minimise the risk of potential interactions
  • Effect of interaction and management of effects
  • References to source of knowledge (bibliography) and links to documentation.

For further information, please visit:
http://www.drug-check.org

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)...

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...

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...