A patient's electronic medical record contains a large amount of unstructured textual information. As patient records become increasingly dense owing to an aging population and increased occurrence of chronic diseases, a tool is needed to help organize and navigate patient data in a way that facilitates a clinician's ability to understand this information and that improves efficiency. A system has been developed for physicians that summarizes clinical information from a patient record. This system provides a gestalt view of the patient's record by organizing information about each disease along four dimensions (axes): time (eg, disease progression over time), space (eg, tumor in left frontal lobe), existence (eg, certainty of existence of a finding), and causality (eg, response to treatment). A display is generated from information provided by radiology reports and discharge summaries. Natural language processing is used to identify clinical abnormalities (problems, symptoms, findings) from these reports as well as associated properties and relationships. This information is presented in an integrated format that organizes extracted findings into a problem list, depicts the information on a timeline grid, and provides direct access to relevant reports and images. The goal of this system is to improve the structure of clinical information and its presentation to the physician, thereby simplifying the information retrieval and knowledge discovery necessary to bridge the gap between acquiring raw data and making an informed diagnosis.
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http://dx.doi.org/10.1148/rg.292085098 | DOI Listing |
Methods Inf Med
March 2011
Research Division eHealth and Telemedicine, University for Health Sciences, Medical Informatics, and Technology (UMIT), Eduard-Wallnöfer-Zentrum 1, 6060 Hall in Tirol, Austria.
Objectives: Since the first concepts for electronic health records (EHRs) in the 1990s, the content, structure, and technology of such records were frequently changed and adapted. The basic idea to support and enhance health care stayed the same over time. To reach these goals, it is crucial that EHRs themselves adhere to rigid quality requirements.
View Article and Find Full Text PDFRadiographics
May 2009
Department of Radiological Sciences, University of California at Los Angeles, Los Angeles, CA 90024, USA.
A patient's electronic medical record contains a large amount of unstructured textual information. As patient records become increasingly dense owing to an aging population and increased occurrence of chronic diseases, a tool is needed to help organize and navigate patient data in a way that facilitates a clinician's ability to understand this information and that improves efficiency. A system has been developed for physicians that summarizes clinical information from a patient record.
View Article and Find Full Text PDFIEEE Trans Inf Technol Biomed
July 2007
UCLA Medical Imaging Informatics Group, Los Angeles, CA 90024, USA.
An increasing amount of data is now accrued in medical information systems; however, the organization of this data is still primarily driven by data source, and does not support the cognitive processes of physicians. As such, new methods to visualize patient medical records are becoming imperative in order to assist physicians with clinical tasks and medical decision-making. The TimeLine system is a problem-centric temporal visualization for medical data: information contained with medical records is reorganized around medical disease entities and conditions.
View Article and Find Full Text PDFMethods Inf Med
May 2006
Institute for Health Information Systems, UMIT - University for Health Sciences, Medical Informatics, and Technology, Eduard-Wallnöfer-Zentrum 1, 6060 Hall in Tirol, Austria.
Objectives: The need for regional, cross-institutional electronic networks in health care is steadily growing to support seamless, cooperative health care. The aim of this study is to evaluate the impact of electronic transmission between hospitals and practitioners in a Tyrolean health care network, and to derive technical and organizational points for improvement.
Methods: Between March and August 2004 we carried out a triangulation-based cross-sectional study, combining a qualitative study based on semi-structured, problem-centric interviews with selected practitioners, with a quantitative study based on a standardized questionnaire survey of all the Tyrolean practitioners that receive electronic messages.
Ann N Y Acad Sci
December 2002
Telemedicine Division, Department of Radiological Sciences, University of California at Los Angeles, 90095-1721, USA.
This review of medical imaging informatics is a survey of current developments in an exciting field. The focus is on informatics issues rather than traditional data processing and information systems, such as picture archiving and communications systems (PACS) and image processing and analysis systems. In this review, we address imaging informatics issues within the requirements of an informatics system defined by the American Medical Informatics Association.
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