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Background: Biomedical informatics is a broad discipline that borrows many methods and techniques from other disciplines. Objective: To reflect a) on the character of biomedical informatics and to determine whether it is multi-disciplinary or inter-disciplinary; b) on the question whether biomedical informatics is more than the sum of its supporting disciplines and c) on the position of biomedical informatics with respect to related disciplines. Method: Inviting an international group of experts in biomedical informatics and related disciplines on the occasion of the 50th anniversary of Methods of Information in Medicine to present their viewpoints. Results and Conclusions: This paper contains the reflections of a number of the invited experts on the character of biomedical informatics. Most of the authors agree that biomedical informatics is an interdisciplinary field of study where researchers with different scientific backgrounds alone or in combination carry out research. Biomedical informatics is a very broad scientific field and still expanding, yet comprised of a constructive aspect (designing and building systems). One author expressed that the essence of biomedical informatics, as opposed to related disciplines, lies in the modelling of the biomedical content. Interdisciplinarity also has consequences for education. Maintaining rigid disciplinary structures does not allow for sufficient adaptability to capitalize on important trends nor to leverage the influences these trends may have on biomedical informatics. It is therefore important for students to become aware of research findings in related disciplines. In this respect, it was also noted that the fact that many scientific fields use different languages and that the research findings are stored in separate bibliographic databases makes it possible that potentially connected findings will never be linked, despite the fact that these findings were published. Bridges between the sciences are needed for the success of biomedical informatics. © Schattauer 2011.

Decision Support Systems (DSS) are typically integrated in Electronic Health Record systems (EHR). By removing this integration full reuse of a DSS system is possible. The connection between the EHR and the DSS system should be standards-based and generic. We intend to demonstrate the viability of this setup by implementing it using PropeRWeb as EHR system, Gaston as DSS system, HL7v3 messages and the SOAP protocol.

The PropeR project studies the effect of Decision Support in an Electronic Health Record system (EHR) on the quality of care. One of the applications supports a multidisciplinary primary care team rehabilitating stroke patients in their home environment. This project required an EHR system that could handle information of multiple disciplines and multiple, distributed data sources. It should also be flexible enough to handle an entirely different domain with only minor modifications. The resulting EHR system is a distributed system based on international standards and reusable components. It is generic in nature since all references to the domain are stored in separate XML documents: the clinical data are defined through a modified version of the OpenEHR archetypes, described in XML and views on the data, either for review or for data entry are also described in XML documents. Currently, the system is being evaluated by a care team using laptops with a wireless internet connection. The use of standards greatly improves the quality and reusability of the resulting software system, but they do not solve the issues that surface during implementation, such as context and screen representation.

OBJECTIVE: An automated feedback system that produces comments about the non-adherence of general practitioners (GPs) to accepted practice guidelines for ordering diagnostic tests was developed. Before implementing the automated feedback system in daily practice, we assessed the potential effect of the system on the test ordering behaviour of GPs. DESIGN: We used a randomised controlled trial with balanced block design. SETTING: Five times six participant groups of GPs in a computer laboratory setting. INTERVENTION: The GPs reviewed a random sample of 30 request forms they filled in earlier that year. If deemed necessary, they could make changes in the tests requested. Next, the system displayed critical comments about their non-adherence to the guidelines as apparent from the (updated) request forms. SUBJECTS: Twenty-four randomly selected GPs participated. MAIN OUTCOME MEASURES: The number of requested diagnostic tests (17% with 95% confidence interval [CI]: 12-22%) and the fraction of tests ordered that were not in accordance with the practice guidelines (39% with 95% CI: 28-51%) decreased due to the comments of the automated feedback system. The GPs accepted 362 (50%) of the 729 reminders. IMPLICATIONS: Although our experiment cannot predict the size of the actual effect of the automated feedback system in daily practice, the observed effect may be seen as the maximum achievable.