Change Management of Shared and Local Versions of Health-Care Terminologies

Summary Objective: To discuss the consequences for medical informatics in encouraging and advancing the development of information processing methodology (IPM) and information and communication technology (ICT) to contribute to high-quality and efficient health care. Methods: Characterization of the current state of ICT, commenting on literature. Results and conclusions: Medical informatics is the discipline, concerned with the systematic processing of data, information, and knowledge in medicine and health care. Our societies are continuously being influenced by modern IPM and ICT. It can be expected that these developments, leading us into an “information society”, will continue. Three factors may significantly influence health care in the near future: the development of the population towards an aging society, progress in medicine, and progress in informatics. The major aims that will have to be achieved are the (1) patient-centered use of medical data, (2) process-integrated decision support, using high-quality medical knowledge, and (3) comprehensive use of patient data for clinical research and health reporting. Medical informatics research is needed on the electronic patient record, modern architectures for health information systems, and medical knowledge bases. In order to adequately pursue the goal of “transforming health care through innovative use of ICT for the 21st century”, health care professionals are needed, who are well-trained in medical informatics, respectively health informatics. Medical informatics must offer such educational programs and assure a sufficiently high quality of education.

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Section 5: Decision Support, Knowledge Representation and Management: Decision Support, Knowledge Representation and Management in Medicine

Peleg¹,

Tu²

2006

Yearb Med Inform

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SummaryClinical decision-support systems (CDSSs) are being recognized as important tools for improving quality of care. In this paper, we review the literature to find trends in CDSSs that were developed over the last few decades and give some indication of future directions in developing successful, usable clinical decisionsupport systems.We searched PubMed for papers that were published during the past five years with the words Decision Support Systems appearing in the title and used our own knowledge of the field for earlier work.The goals of developers of modern CDSSs are to develop systems that deliver needed information and could be integrated with the healthcare’s organizational dynamics. Such CDSSs form part of knowledge-management activities that healthcare organizations employ in order to excel. During the past few decades, we have witnessed a gradual maturation of knowledge representation formalisms and the needed infrastructure for developing integrated CDSSs, including electronic health record systems (EHR), standard terminologies, and messaging standards for exchange of clinical data. The demand for CDSSs that are effective and that will evolve as circumstances change gave rise to methodologies that guide developers on the construction and evaluation of CDSSs.Although there exist many approaches for representing, managing and delivering clinical knowledge, the design and implementation of good and useful systems that will last and evolve are still active areas of research. The gradual maturation of EHR and infrastructure standards should make it possible for CDSSs implementers to make major contributions to the delivery of healthcare.

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Change Management of Shared and Local Versions of Health-Care Terminologies

Cited by 5 publications

References 19 publications

An approach for sub-ontology evolution in a distributed health care enterprise

An approach for sub-ontology evolution in a distributed health care enterprise

Health Care in the Information Society: What Should Be the Role of Medical Informatics?1

Section 5: Decision Support, Knowledge Representation and Management: Decision Support, Knowledge Representation and Management in Medicine

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