<?xml version="1.0" encoding="UTF-8" standalone="no" ?>
<rss version="2.0">
  <channel>
    <title>Wilde, M. de</title>
    <link>http://repub.eur.nl/res/aut/15189/</link>
    <description>List of Publications</description>
    <language>en</language>
    <image>
      <url>http://repub.eur.nl/static-eur/img/logo.png</url>
      <title>RePub, Erasmus University Rotterdam</title>
      <link>http://repub.eur.nl</link>
    </image>
    <item>
      <title>Is OpenSDE an alternative for dedicated medical research databases? An example in coronary surgery (Article)</title>
      <link>http://repub.eur.nl/res/pub/36847/</link>
      <pubDate>2007-12-01T00:00:00Z</pubDate>
      <description>Background. When using a conventional relational database approach to collect and query data in the context of specific clinical studies, a study with a new data set usually requires the design of a new database and entry forms. OpenSDE (SDE = Structured Data Entry) is intended to provide a flexible and intuitive way to create databases and entry forms for the collection of data in a structured format. This study illustrates the use of OpenSDE as a potential alternative to a conventional approach with respect to data modelling, database creation, data entry, and data extraction. Methods. A database and entry forms are created using OpenSDE and MSAccess to support collection of coronary surgery data, based on the Adult Cardiac Surgery Data Set of the Society of Thoracic Surgeons. Data of 52 cases are entered and nine different queries are designed, and executed on both databases. Results. Design of the data model and the creation of entry forms were experienced as more intuitive and less labor intensive with OpenSDE. Both resulting databases provided sufficient expressiveness to accommodate the data set. Data entry was more flexible with OpenSDE. Queries produced equal and correct results with comparable effort. Conclusion. For prospective studies involving well-defined and straight forward data sets, OpenSDE deserves to be considered as an alternative to the conventional approach. </description>
    </item> <item>
      <title>OpenSDE: Row modeling applied to generic structured data entry. (Article)</title>
      <link>http://repub.eur.nl/res/pub/13274/</link>
      <pubDate>2004-03-01T00:00:00Z</pubDate>
      <description>Clinicians generally record medical narrative data, such as current
      complaints, physical examination, and progress notes, as free text in
      paper-based medical records. The medical narrative involves heterogeneous
      and detailed data that include the description of (multiple) occurrences
      of medical findings or symptoms that may progress over time. Structured,
      electronic recording of narrative data would facilitate the use of these
      data for research. The authors' OpenSDE application supports clinicians
      with the structured recording of narrative data in both research and care
      settings. Data entry is enabled using forms that are generated using
      domain-specific trees of medical concepts. For data storage, the authors
      have expanded the traditional row modeling methodology with additional
      columns that allow structured representation of medical narratives
      including descriptions of findings, multiple occurrences of findings, and
      the progression of findings over time.</description>
    </item> <item>
      <title>ORCA: the versatile CPR (Article)</title>
      <link>http://repub.eur.nl/res/pub/14248/</link>
      <pubDate>2000-05-11T00:00:00Z</pubDate>
      <description>The introduction of computer-based patient records (CPRs) that fully replace paper records proves especially difficult in specialized care, despite the potential advantages of CPRs for patient care and research. Improved data legibility, availability, sharing of records, and decision support may directly benefit patient care. Barriers to the introduction of CPR applications at institutions may be caused by lack of infrastructure, or by financial or organizational issues. To have clinicians interactively enter data at the point of care is still a big challenge. This paper presents an overview of ORCA (Open Record of CAre): a generic CPR, designed for integration with existing systems, presentation of multi-media patient data, and the collection of structured data, directly by clinicians. ORCA can easily be tailored to the needs of a variety of medical specialists without the need for changes to its data model, functionality, or interface. The paper describes the essence of the architecture of ORCA and the user benefits with emphasis on the support of structured data entry</description>
    </item>
  </channel>
</rss>