Considerations for the representation of meta-data for the support of structured data entry

Methods of Information in Medicine

Volumn 42, Issue 3, 2003, Pages 226-235

  Van Ginneken, A M ^a,b  

^a ERASMUS MEDICAL CENTER   (Netherlands)

^b ERASMUS UNIVERSITY ROTTERDAM   (Netherlands)

Author keywords

Computerized Patient Records; Data modeling; Structured Data Entry

Indexed keywords

ARTICLE; DATA ANALYSIS; DATA BASE; ELECTRONIC MEDICAL RECORD; INFORMATION PROCESSING; MODEL; NOMENCLATURE; PRIORITY JOURNAL;

EID: 0041313863     PISSN: 00261270     EISSN: None     Source Type: Journal    
DOI: 10.1055/s-0038-1634355     Document Type: Article

References (22)

1. Dick R. S., Steen E. B. The computer-based patient record: an essential technology for health care. Revised edition. Committee on Improving the Patient record Division of Health Care Services. Institute of medicine. 1997.
2. Amatayakul M. The state of the computer-based patient record. J Ahima 1998;69(9):34-6, 38, 40; quiz 43-4.
3. Shortliffe E. H. The evolution of electronic medical records. Acad Med 1999; 74(4): 414-9.
4. McDonald C. J., Overhage J. M., Tierney W. M., et al. The Regenstrief Medical Record System: a quarter century experience. Int J Med Inf 1999; 54(3): 225-53.
5. Schoenbaum S. C., Barnett G. O. Automated ambulatory medical records systems. An orphan technology. Int J Technol Assess Health Care 1992; 8(4): 598-609.
6. Date C. Introduction to Database Systems. 6th ed. New York: Addison-Wesley; 1995.
7. Nadkarni P. M., Marenco L., Chen R., Skoufos E., Shepherd G., Miller P. Organization of heterogeneous scientific data using the EAV/CR representation. JAMIA 1999; 6: 478-93.
8. van Ginneken A. M. The significance of abstraction and metadata for the computer-based patient record: applied in structured data entry. In: Cooper E, (ed). World Markets Series - Business briefing; Next Generation Health Care. London: World Markets Research Center; 2001; 32,34,36-37.
9. Johnson S. B. Generic Data Modeling for Clinical Repositories. JAMIA 1996; 3(5): 328-339.
10. Cimino J. J., Clayton P. D., Hripsack G., Johnson S. B. Knowledge-based approaches to the maintenance of a large controlled medical terminology. JAMIA 1994; 1(1): 35-50.
11. van Ginneken A. M., de Wilde M. A new approach to structured data collection. In: Waegemann CP, (ed). Proc. of TEPR 2000. San Francisco: Medical Records Institute; 2000; 627-35.
12. Chen R. S. Exploring Performance Issues for a Clinical Database Organized Using an Entity-Attribute_Value Representation. JAMIA 2000; 7(5):475-87.
13. Nadkarni P. M. Data Extraction and Ad Hoc Query of an Entity-Attribute-Value Database. JAMIA 1998; 5 (6): 511-27.
14. OpenEHR Foundation.GEHR.http://www.gehr.org.2003-01-27.
15. HL7.http://www.hl7.org.
16. LOINChttp://www.loinc.org.2003-27-10.
17. Krämer M., Norgall T., Penzel T. Short Strategic Study: Strategies for harmonisation and integration of device-level and enterprise-wide methodologies for communication as applied to HL7, LOINC, and ENV13734. www.centc 251.org.2001.
18. National Library of Medicine.UMLS.http:// www.nlm.nih.gov/research/umls/.2003-01-27.
19. Medical Informatics Group Manchester UK. Open GALEN. http://www.opengalen.org. 2003-01-27.
20. ICD/SNOMED/READ.http://www.eihms.surrey.ac.uk/abbott/IT-EDUCTRA/html/ p405_h.htm.2003-01-27.
21. Lussier Y. A., Rothwell D. J., Cote R. A. The SNOMED Model: A knowledge source for the controlled terminology of the computerized patient record. Meth Inform Med 1998; 37: 161-4.
22. Rothwell D. J. SNOMED-based knowledge representation. Meth Inform Med 1995; 34: 157-209.