Unambiguous identification of hospital patients: Case study at the university departments of the General Hospital, Vienna

International Journal of Medical Informatics

Volumn 57, Issue 2-3, 2000, Pages 165-179

  Sachs, P ^a   Gall, W ^a   Marksteiner, A ^a   Dorda, W ^a  

^a UNIVERSITY OF VIENNA   (Austria)

Author keywords

Administrative data; Patient identification; Record linkage

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; DATA RECORDING; DATABASE SYSTEMS; PATIENT MONITORING;

PATIENT IDENTIFICATION; RECORD LINKAGE;

HOSPITAL DATA PROCESSING;

ARTICLE; COMPUTER SYSTEM; DATA BASE; HOSPITAL PATIENT; IDENTITY; INFORMATION PROCESSING; INFORMATION RETRIEVAL; ITALY; MEDICAL RECORD; METHODOLOGY; PRIORITY JOURNAL; UTILIZATION REVIEW;

ALGORITHMS; AUSTRIA; HOSPITAL INFORMATION SYSTEMS; HUMANS; MEDICAL RECORD LINKAGE; ORGANIZATIONAL CASE STUDIES; PATIENT IDENTIFICATION SYSTEMS;

EID: 0034233324     PISSN: 13865056     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1386-5056(00)00063-0     Document Type: Article

References (17)

1. Smith M.E., Newcombe H.B. Methods for computer linkage of hospital admission-separation records into cumulative health histories. Methods Inform. Med. 14:1975;118-125.
2. Wajda A., Roos L.L. Simplifying record linkage: software and strategy. Comp. Biol. Med. 14(4):1987;239-248.
3. L. Sweeney, Replacing personally-identifying information in medical records, the Scrub system, Proceedings of the AMIA Annual Fall Symposium, 1996, 333-337.
4. Newcombe H.B., Fair M.E., Lalonde P. Discriminating powers of partial agreement of names for linking personal records; Part I: The logical base. Methods Inform. Med. 28:1989;86-91.
5. Newcombe H.B., Fair M.E., Lalonde P. Discriminating powers of partial agreement of names for linking personal records; Part II: The empirical test. Methods Inform. Med. 28:1989;92-96.
6. Roos L.L., Wajda A. Record linkage strategies; Part I: Estimating information and evaluating approaches. Methods Inform. Med. 30:1991;117-123.
7. Wajda A., Roos L.L. Record linkage strategies; Part II: Portable software and deterministic matching. Methods Inform. Med. 30:1991;210-214.
8. Newcombe H.B. Distinguishing individual linkages of personal records from family linkages. Methods Inform. Med. 32:1993;358-364.
9. Kendrick S.W., Douglas M.M., Gardner D. et al. Best-link matching of Scottish health data sets. Methods Inform. Med. 37:1998;64-68.
10. Jamieson E., Roberts J., Browne G. The feasibility and accuracy of anonymized record linkage to estimate shared clientele among three health and social service agencies. Methods Inform. Med. 34:1995;371-377.
11. Safran C., Chute C.G. Exploration and exploitation of clinical databases. Bio-Med. Comp. 39:1995;151-156.
12. MacLeod M.C., Bray C.A., Kendrick S.W. et al. Enhancing the power of record linkage involving low quality personal identifiers: use of the best link principle and cause of death prior likelihood. Comp. Biomed. Res. 31:1998;257-270.
13. Shevchenko I.P., Lynch J.T., Mattie A.S. et al. Verification of information in a large medical database using linkages with external databases. Stat. Med. 14:1995;511-530.
14. Quantin C., Bouzelat H., Allaert F.A. et al. How to ensure data security of an epidemiological follow-up: quality assessment of an anonymous record linkage procedure. Int. J. Med. Inform. 49:1998;117-122.
15. Muse A.G., Mikl J., Smith P.F Evaluating the quality of anonymous record linkage using deterministic procedures with the New York State AIDS registry and a hospital discharge file. Stat. Med. 14:1995;499-509.
16. Medical informatics: person name data definitions to be utilised within electronic data interchange, CEN/TC251/WG3 N302, 1996.
17. H. Grabner, Die Datenbank des Medizinischen Informations systems WAMIS, WAMIS Wiener Allgemeines Medizinisches Information-Systems, Springer, Berlin, 1985, pp. 36-82.