New FP7 eHealth Project - COMOESTAS

COMOESTAS aims to develop an innovative ICT system that allows patients with Medication Overuse Headache (MOH), a common condition and a major cause of disability, to receive continuous and personalised treatment. The system will be based on an advanced Alerting and Decision Support System that follows patients from the diagnosis and supports the physician in managing the therapy, controlling relevant events impacting on patient safety.

Medication Overuse Headache (MOH) results from the chronicisation of primary forms of headaches, as a consequence of the progressive increase in the intake of symptomatic drugs. The first choice treatment for MOH is the withdrawal of the overused medication(s) (detoxification), which is preferentially done by hospitalising the patients. Even if most patients improve as a result of detoxification, up to 45% of patients relapse, reverting to the overuse of symptomatic drugs.

Paper diaries and calendars for recording headache attacks have long been used in the clinical practice for the management of headache patients. Isolated attempts to electronically record headache attacks have also been performed, based on the use of single common files.

At present, however, there is no scientifically validated informative tool that could manage patient's treatment, from the first observation to the whole follow-up. The availability of such a tool would grant an innovative approach to MOH.

Objectives of the project and project description
The general objective of the COMOESTAS project is to improve and integrate the management of MOH with an innovative electronic tool that makes the patient himself a key node in the treatment process. The new system, will be based on a complex informative system called Interactive Electronic Patient Record (IEPR) and will constitute an "all-inone" solution that will allow constant monitoring of the clinical condition of the patient by the doctor and provide a system of alerts and warnings should selected parameters exceed given thresholds. The system will also be designed in order to improve the patientdoctor communication.

Expected Results and Impacts
The constant monitoring by means of the electronic diary and programmed or alertprompted follow-up visits permit and favour a better interaction between patient and physician in order to ameliorate the management of these patients after the withdrawal. Furthermore, this will increase patient safety by optimising medical interventions, preventing errors and reducing drug-induced side effects (i.e. gastritis, hypertension). As a consequence, direct (consultations, hospitalisations, etc.) and indirect (i.e. linked to the disability and complications caused by the disease) costs provoked by the condition will be reduced.

Work in progress

  • The kick-off meeting took place in Pavia, on February 14-16
  • Indicators, clinical protocol and clinical tools have been devised, and will be finalised in April
  • The beta version of the IEPR system will be ready for pilot testing by the end of May
  • Clinical centres in Argentina and Chile are collecting data on the epidemiological impact of MOH in Latin America

For further information, please visit:
http://www.comoestas-project.eu

Related article:

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...