Showing papers on "Translational research informatics published in 1999"
Book•
01 Jan 1999
TL;DR: In this article, the authors present ideas that will guide the process of medical informatics, including information systems in health care and medicine, telemedicine and telematics, security, biomedical processing, data mining and knowledge discovery; training and education; Internet/intranet; resources management; intelligent medical systems.
Abstract: This volume seeks to reflect the "state of the art" on medical informatics. It presents ideas that will guide the process of medical informatics. Topics in the book include: information systems in health care and medicine; telemedicine and telematics; security; biomedical processing, data mining and knowledge discovery; training and education; Internet/intranet; resources management; intelligent medical systems; health guidelines and protocols; electronic patient encounter, card technology, electronic data interchange; terminology; nursing informatics.
21 citations
TL;DR: The solution to this dilemma is the creation of a new institute or center at the NIH devoted to biomedical imaging, engineering, and informatics, and Bills are being introduced into the 106th Congress to authorize such an entity.
5 citations
TL;DR: In this article, the mouse genomics hold considerable promise of providing important insights into the genetics of these diseases, but it has been very difficult to identify the responsible genes using human populations.
Abstract: Psychiatric disorders have important genetic contributions, but it has been very difficult to identify the responsible genes using human populations. Recent developments in mouse genomics hold considerable promise of providing important insights into the genetics of these diseases.
4 citations
2 citations
Journal Article•
2 citations
TL;DR: Some of the issues involved in the provision of automated clinical information support drawing on examples of existing systems are explored to help readers to fully understand the requirements for future systems and be in a better position to exploit such systems to enhance the performance of their laboratories.
Abstract: The Diagnostic Cycle (2) THE DIAGNOSTIC PROCESS The diagnostic process can be thought of as an iterative cycle (Figure 1) in which clinicians form hypotheses based on clinical examination of the patient and order investigations to rule in or rule out diagnoses. The cycle is iterative in that the information gained by each testing cycle feeds forward into the next cycle informing the selection of subsequent tests (Figure 2). In acute disease states the cycle may turn only once or twice and for sake of speed many tests may be ordered in parallel. In chronic disease states the cycle may continue indefinitely, though under those circumstances ongoing monitoring and management of disease are the goals rather than the generation of diagnostic evidence. INTRODUCTION The modern hospital with its growing IT infrastructure provides fertile ground for the development and exploitation of clinical decision support systems (1). The combination of the increasing power and sophistication of information systems and the rapid development of networks spanning the clinical domain presents the laboratory with unprecedented opportunities to expand its role into the clinical arena. In particular the increasing interdependence of clinical and diagnostic services makes this area a focus for the early implementation of such systems. To date the main emphasis of information systems in the laboratory environment has been on control of analytical systems and administrative support of operational processes (2,3,4). Support for the use of analytical results in clinical decision-making, apart from a few isolated examples such as in thyroid test interpretation, has generally been a manual process exploiting the skills of senior medical and scientific staff: This short paper will explore some of the issues involved in the provision of automated clinical information support drawing on examples of existing systems. It should help readers to fully understand the requirements for future systems and be in a better position to exploit such systems to enhance the performance of their laboratories. Dr Richard Jones, MA, OM, MRCP, MRCPath, Institute of Pathology, Leeds Teaching Hospitals NHS Trust and University of Leeds, Leeds LSI 3EX, UK Tel: (44) 113233 5677, Fax: (44) 113233 5672 Email : r.g.jones@leeds.ac.uk.
1 citations
TL;DR: Dr. Hendee concludes that the NIH should create a new institute or center to nurture these three domains of biomedical engineering, imaging, and informatics, and supports fundamental research and coordinate activities throughout the federal government.