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

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...

AI could Help Improve Early Detection of…

A new study led by investigators at the UCLA Health Jonsson Comprehensive Cancer Center suggests that artificial intelligence (AI) could help detect interval breast cancers - those that develop between...

Reorganisation, Consolidation, and Cuts:…

NHS England has been downsized and abolished. Integrated care boards have been told to change function, consolidate, and deliver savings. Trusts are planning big cuts. The Highland Marketing advisory board...

AI-Human Task-Sharing could Cut Mammogra…

The most effective way to harness the power of artificial intelligence (AI) when screening for breast cancer may be through collaboration with human radiologists - not by wholesale replacing them...

Siemens Healthineers infection Control S…

Klinikum Region Hannover (KRH) has commissioned Siemens Healthineers to install infection control system (ICS) at the Klinikum Siloah hospital. The ICS aims to effectively tackle nosocomial infections and increase patient...

AI Tool Uses Face Photos to Estimate Bio…

Eyes may be the window to the soul, but a person's biological age could be reflected in their facial characteristics. Investigators from Mass General Brigham developed a deep learning algorithm...

Philips Future Health Index 2025 Report …

Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, today unveiled its 2025 Future Health Index U.S. report, "Building trust in healthcare AI," spotlighting the state of...

AI-Powered Precision: Unlocking the Futu…

A team of researchers from the Department of Diagnostic and Therapeutic Ultrasonography at the Tianjin Medical University Cancer Institute & Hospital, have published a review in Cancer Biology & Medicine...

AI Model Improves Delirium Prediction, L…

An artificial intelligence (AI) model improved outcomes in hospitalized patients by quadrupling the rate of detection and treatment of delirium. The model identifies patients at high risk for delirium and...

Building Trust in Artificial Intelligenc…

A new review, published in the peer-reviewed journal AI in Precision Oncology, explores the multifaceted reasons behind the skepticism surrounding artificial intelligence (AI) technologies in healthcare and advocates for approaches...

SALSA: A New AI Tool for the Automated a…

Investigators of the Vall d'Hebron Institute of Oncology's (VHIO) Radiomics Group, led by Raquel Perez-Lopez, have developed SALSA (System for Automatic Liver tumor Segmentation And detection), a fully automated deep...