Q-REC - European Quality Labelling and Certification of Electronic Health Record Systems

European Institute for Health RecordsThe Q-REC project entitled "European Quality Labelling and Certification of Electronic Health Record systems (EHRs)" is a Specific Support Action for the strategic objective 2.4.11 "Integrated BioMedical Information for better Health" as addressed in Call 4 of the Information Society Technologies Work Programme.

The project relates to the Action Plan of the eHealth Communication COM (2004)356 by supporting mainly "4.2.5 Conformity testing and accreditation for an eHealth market" but also "4.2.2.2: Interoperability of Electronic Health records". The scope of Q-REC thus neither extends to the national roadmaps nor the "overall" eHealth interoperability issues but is restricted to interoperability among Electronic Health Record systems, with as its principal focus, Conformance Testing and Certification. Q-REC is not a co-ordination project but a Specific Support Action (SSA) which aims at complementing (bottom-up wise) the existing e-Health ERA Co-ordination Project "Towards the establishment of a European e Health Research Area", which main goal is to coordinate the planning of eHealth R&D and coherent national roadmaps in Europe.

The main objective of Q-REC is to create an efficient, credible and sustainable mechanism for the certification of EHR systems in Europe by addressing mainly:

  • EHR Systems Quality Labelling and Certification Development, thereby:
    • producing a State of the Art Report on EHR-Certification Schemas as already implemented in at least three European countries;
    • performing a Pan-European Requirements Assay;
    • proposing a Labelling Terminology and Functional Profiles for EHRs to be certified;
    • comparing and harmonising the EHR-Certification Procedures at a European level;
    • drafting Model Certification Guidelines and Procedures;
    • planning the Validation of the Guidelines.
  • Resources for EHR Interoperability, including:
    • the register of Conformance Criteria and Guidance Documents for obtaining EHR Certification;
    • an inventory and guidelines for EHR Archetypes;
    • the registration of Coding Schemes in Europe (as mandated by CEN/TC 251);
    • an inventory of relevant EHR related standards;
    • a register of XML Schemas and Open Source components for EHRs.
  • Benchmarking Services:
    • Benchmarking Services Manual for Quality Labelling and Certification;
    • preparing the Business Plan for new EHR-Certification related Services.

The co-ordinating partner is the EuroRec Institute, which is the overarching network of already existing national ProRec centres. EuroRec's main mission is to promote high quality Electronic Health Record systems (EHRs) throughout Europe. The network and its centres are platforms wherein a wide variety of stakeholders are involved. The coordination with healthcare authorities will be done through the collaboration with the eHealth ERA consortium and its European Health Care Authorities (HCA) / Ministries groups. Both platforms (EuroRec and eHealth ERA) will assure the necessary bottom-up and top-down approaches for the adequate assessment of needs and for the optimal choice of methods for quality labelling and certification of EHRs in Europe.

For further information, please visit:
http://www.eurorec.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...

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...

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...

New Computer Models Open Door to Far Mor…

With antibiotic resistance a growing problem, University of Virginia School of Medicine researchers have developed cutting-edge computer models that could give the disease-fighting drugs a laser-like precision to target only...

New Biomarkers to Detect Colorectal Canc…

Machine learning and artificial intelligence (AI) techniques and analysis of large datasets have helped University of Birmingham researchers to discover proteins that have strong predictive potential for colorectal cancer. In a...

Sam Neville Joins the Highland Marketing…

Leading chief nursing information officer Sam Neville is joining the Highland Marketing advisory board. Sam brings a passion for nursing and safety to the board, which debates the big issues...

AI Model Identifies Potential Risk Genes…

Researchers from the Cleveland Clinic Genome Center have successfully applied advanced artificial intelligence (AI) genetics models to Parkinson's disease. Researchers identified genetic factors in progression and FDA-approved drugs that can...

AI Tool that may Assist Underserved Hosp…

As the fields of healthcare and technology increasingly evolve and intersect, researchers are collaborating on the best ways to use emerging technologies such as artificial intelligence (AI) to care for...

AI-Supported Breast Cancer Screening - N…

The new findings are published in The Lancet Digital Health. The initial results of the Mammography Screening with Artificial Intelligence (MASAI) study* - a randomised trial to evaluate whether AI...

AI Improves Personalized Cancer Treatmen…

Personalized medicine aims to tailor treatments to individual patients. Until now, this has been done using a small number of parameters to predict the course of a disease. However, these...