Q-REC

Q-REC is a Specific Support Action and its main objective is to develop formal methods and to create a mechanism for the quality labelling and certification of Electronic Health Record systems in Europe, in primary- and in acute hospitalcare settings.

The main objective of Q-REC is to create an efficient, credible and sustainable mechanism for the certification of Electronic Health Record (EHR) systems in Europe by addressing mainly:
1. 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 profiling and classification system for EHRs to be certified;
  • harmonising the EHR-Certification Procedures at a European level;
  • drafting the Certification Guidelines and Procedures (inc. Legal);
  • planning future Pilot Implementations.
2. Resources for EHR Interoperability, including:
  • the inventory 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 existing and relevant EHR standards;
  • an inventory of XML schemas and Open Source components for EHRs.
3. Benchmarking Services:
  • defining the Formal Test Plans for EHR Certification;
  • preparing the Business Plan for EHRCertification related Services.

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

Project co-ordinator:
EuroRec

Partners:

  • EuroRec (Europe, coordinator)
  • ProRec (IL)
  • ProRec (FR)
  • ProRec (BE)
  • MEDIQ A/S (DK)
  • ProRec (DE)
  • RAMIT (BE)
  • University College London (UK)
  • ProRec (SI)
  • ProRec (BG)
  • ProRec (RO)
  • TNO (NL)

Timetable: from 01/05 – to 06/08

Total cost: € 1.331.317

EC funding: € 1.299.000

Instrument: SSA

Project Identifier: IST-2004-27370

Source: FP6 eHealth Portfolio of Projects

Most Popular Now

Research Shows AI Technology Improves Pa…

Existing research indicates that the accuracy of a Parkinson's disease diagnosis hovers between 55% and 78% in the first five years of assessment. That's partly because Parkinson's sibling movement disorders...

Who's to Blame When AI Makes a Medi…

Assistive artificial intelligence technologies hold significant promise for transforming health care by aiding physicians in diagnosing, managing, and treating patients. However, the current trend of assistive AI implementation could actually...

First Therapy Chatbot Trial Shows AI can…

Dartmouth researchers conducted the first clinical trial of a therapy chatbot powered by generative AI and found that the software resulted in significant improvements in participants' symptoms, according to results...

DMEA sparks: The Future of Digital Healt…

8 - 10 April 2025, Berlin, Germany. Digitalization is considered one of the key strategies for addressing the shortage of skilled workers - but the digital health sector also needs qualified...

DeepSeek: The "Watson" to Doct…

DeepSeek is an artificial intelligence (AI) platform built on deep learning and natural language processing (NLP) technologies. Its core products include the DeepSeek-R1 and DeepSeek-V3 models. Leveraging an efficient Mixture...

Stepping Hill Hospital Announced as SPAR…

Stepping Hill Hospital, part of Stockport NHS Foundation Trust, has replaced its bedside units with state-of-the art devices running a full range of information, engagement, communications and productivity apps, to...

DMEA 2025: Digital Health Worldwide in B…

8 - 10 April 2025, Berlin, Germany. From the AI Act, to the potential of the European Health Data Space, to the power of patient data in Scandinavia - DMEA 2025...