help button home button JAMIA Bigger figures
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH

First published December 7, 2003 as JAMIA PrePrint; doi:10.1197/jamia.M1375
Journal of the American Medical Informatics Association 2004;11(2):162-165
© 2004 American Medical Informatics Association


A more recent version of this article appeared on March 1, 2004
This Article
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
M1375v1
11/2/162    most recent
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Los, R. K.
Right arrow Articles by van der Lei, J.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Los, R. K.
Right arrow Articles by van der Lei, J.

Submitted on April 3, 2003
Accepted on November 6, 2003

OpenSDE: Row Modeling Applied to Generic Structured Data Entry

Renske K. Los MSc1*, Astrid M. van Ginneken MD, PhD1, Marcel de Wilde BSc1, and Johan van der Lei MD, PhD1

Affiliation of the authors: 1 Department of Medical Informatics, Erasmus MC - University Medical Center, Rotterdam, The Netherlands

* To whom correspondence should be addressed.

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 includes 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. Our OpenSDE application supports clinicians with the structured recording of narrative data in both a research and care setting. Data entry is enabled using forms that are generated using domain specific trees of medical concepts. For data storage we 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.




This article has been cited by other articles:


Home page
RadiologyHome page
M. Smits, D. W. J. Dippel, G. G. de Haan, H. M. Dekker, P. E. Vos, D. R. Kool, P. J. Nederkoorn, P. A. M. Hofman, A. Twijnstra, H. L. J. Tanghe, et al.
Minor Head Injury: Guidelines for the Use of CT A Multicenter Validation Study
Radiology, December 1, 2007; 245(3): 831 - 838.
[Abstract] [Full Text] [PDF]


Home page
ANN INTERN MEDHome page
M. Smits, D. W.J. Dippel, E. W. Steyerberg, G. G. de Haan, H. M. Dekker, P. E. Vos, D. R. Kool, P. J. Nederkoorn, P. A.M. Hofman, A. Twijnstra, et al.
Predicting Intracranial Traumatic Findings on Computed Tomography in Patients with Minor Head Injury: The CHIP Prediction Rule
Ann Intern Med, March 20, 2007; 146(6): 397 - 405.
[Abstract] [Full Text] [PDF]


Home page
PediatricsHome page
J. Roukema, R. K. Los, S. E. Bleeker, A. M. van Ginneken, J. van der Lei, and H. A. Moll
Paper Versus Computer: Feasibility of an Electronic Medical Record in General Pediatrics
Pediatrics, January 1, 2006; 117(1): 15 - 21.
[Abstract] [Full Text] [PDF]


Home page
JAMAHome page
M. Smits, D. W. J. Dippel, G. G. de Haan, H. M. Dekker, P. E. Vos, D. R. Kool, P. J. Nederkoorn, P. A. M. Hofman, A. Twijnstra, H. L. J. Tanghe, et al.
External Validation of the Canadian CT Head Rule and the New Orleans Criteria for CT Scanning in Patients With Minor Head Injury
JAMA, September 28, 2005; 294(12): 1519 - 1525.
[Abstract] [Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH
Copyright © 1994 by the American Medical Informatics Association.