Objectives:The aim of this study was to develop and test a generic framework to enable international collaboration for producing and sharing results of health technology assessments (HTAs). Methods: Ten international teams constructed the HTA Core Model, dividing information contained in a comprehensive HTA into standardized pieces, the assessment elements. Each element contains a generic issue that is translated into practical research questions while performing an assessment. Elements were described in detail in element cards. Two pilot assessments, designated as Core HTAs were also produced. The Model and Core HTAs were both validated. Guidance on the use of the HTA Core Model was compiled into a Handbook. Results: The HTA Core Model considers health technologies through nine domains. Two applications of the Model were developed, one for medical and surgical interventions and another for diagnostic technologies. Two Core HTAs were produced in parallel with developing the model, providing the first real-life testing of the Model and input for further development. The results of formal validation and public feedback were primarily positive. Development needs were also identified and considered. An online Handbook is available. Conclusions:The HTA Core Model is a novel approach to HTA. It enables effective international production and sharing of HTA results in a structured format. The face validity of the Model was confirmed during the project, but further testing and refining are needed to ensure optimal usefulness and user-friendliness. Core HTAs are intended to serve as a basis for local HTA reports. Core HTAs do not contain recommendations on technology use.

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Objectives: This article presents an overview of the practical methods and tools to support transnational Health Technology Assessment (HTA) that were developed and pilot tested by the European network for HTA (EUnetHTA), which involved a total of sixty-four Partner organizations.Methods: The methods differ according to scope and purpose of each of the tools developed. They included, for example, literature reviews, surveys, Delphi and consensus methods, workshops, pilot tests, and internal/public consultation.Results: Practical results include an HTA Core Model and a Handbook on the use of the model, two pilot examples of HTA core information, an HTA Adaptation Toolkit for taking existing reports into new settings, a book about HTA and health policy making in Europe, a newsletter providing structured information about emerging/new technologies, an interactive Web-based tool to share information about monitoring activities for emerging/new technologies, and a Handbook on HTA capacity building for Member States with limited institutionalization of HTA.Conclusions: The tools provide high-quality information and methodological frameworks for HTA that facilitate preparation of HTA documentation, and sharing of information in and across national or regional systems. The tools will be used and further tested by partners in the EUnetHTA Collaboration aiming to (i) help reduce unnecessary duplication of HTA activities, (ii) develop and promote good practice in HTA methods and processes, (iii) share what can be shared, (iv) facilitate local adaptation of HTA information, (v) improve the links between health policy and HTA.

The HTA Core Model is now available for everyone around the world as a framework for assessing value.

In this paper, we review the results of BIOINFOMED, a study funded by the European Commission (EC) with the purpose to analyse the different issues and challenges in the area where Medical Informatics and Bioinformatics meet. Traditionally, Medical Informatics has been focused on the intersection between computer science and clinical medicine, whereas Bioinformatics have been predominantly centered on the intersection between computer science and biological research. Although researchers from both areas have occasionally collaborated, their training, objectives and interests have been quite different. The results of the Human Genome and related projects have attracted the interest of many professionals, and introduced new challenges that will transform biomedical research and health care. A characteristic of the 'post genomic' era will be to correlate essential genotypic information with expressed phenotypic information. In this context, Biomedical Informatics (BMI) has emerged to describe the technology that brings both disciplines (BI and MI) together to support genomic medicine. In recognition of the dynamic nature of BMI, institutions such as the EC have launched several initiatives in support of a research agenda, including the BIOINFOMED study.