A transparent and transportable methodology for evaluating Data Linkage software

Journal of Biomedical Informatics

Volumn 45, Issue 1, 2012, Pages 165-172

  Ferrante, Anna ^a,b   Boyd, James ^a  

^a CURTIN UNIVERSITY   (Australia)

^b UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

Author keywords

Data matching; Linkage quality; Medical record linkage; Software evaluation

Indexed keywords

CURTIN UNIVERSITY; DATA LINKAGE; DATA MATCHING; EVALUATION METHODOLOGIES; GOLD STANDARDS; LINKABLE; MEDICAL RECORD; OPERATIONAL ENVIRONMENTS; PERFORMANCE CAPABILITY; QUALITY METRICS; SOFTWARE EVALUATION; SOFTWARE PROGRAM; SYNTHETIC DATA;

COMPUTER SOFTWARE SELECTION AND EVALUATION; DATA HANDLING;

BENCHMARKING;

ARTICLE; DATA ANALYSIS; DATA ANALYSIS SOFTWARE; GOLD STANDARD; HUMAN; MEDICAL RECORD; PRIORITY JOURNAL; SAMPLE SIZE;

ALGORITHMS; DATA COLLECTION; SOFTWARE;

EID: 84856399826     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2011.10.006     Document Type: Article

References (29)

1. West of Scotland Coronary Prevention Study Group. Computerised record linkage compared with traditional patient follow-up methods in clinical trials and illustrated in a prospective epidemiological study. J Clin Epidemiol 1995;48:1441-52.
2. Holman D., Bass A., Rouse I., Hobbs M. Population-based linkage of health records in Western Australia: development of a health services research linked database. Aust N Z J Public Health 1999, 23.
3. Hall S.E., Holman C.D.A.J., Finn J., Semmens J.B. Improving the evidence base for promoting quality and equity of surgical care using population-based linkage of administrative health records. Int J Qual Health Care 2005, 17:415-420.
4. Brook E.L., Rosman D.L., Holman C.D.A.J. Public good through data linkage: measuring research outputs from the Western Australian data linkage system. Aust N Z J Public Health 2008, 32:19-23.
5. Sibthorpe B., Kliewer E., Smith L. Record linkage in Australian epidemiological research: health benefits, privacy safeguards and future potential. Aust N Z J Public Health 1995, 19.
6. Holman C.D.A.J., Bass A.J., Rosman D.L., Smith M.B., Semmens J.B., Glasson E.J., et al. A decade of data linkage in Western Australia: strategic design, applications and benefits of the WA data linkage system. Aust Health Rev 2008, 32:766-777.
7. Trutwein B., Holman D., Rosman D. Health data linkage conserves privacy in a research-rich environment. Ann Epidemiol 2006, 16.
8. NCRIS, National Collaborative Research Infrastructure Strategy Strategic Roadmap. Commonwealth department of education science and training. Canberra; 2006.
9. Smith M. Data linkage - building the national infrastructure in Australia. In: Second national symposium on data-linkage research. Adelaide, South Australia; 2008.
10. Campbell K., Deck D., Krupski A. Record linkage software in the public domain: a comparison of Link Plus, The Link King, and a 'basic' deterministic algorithm. Health Inform J 2008, 14:5-15.
11. Herzog T.H., Scheuren F., Winkler W.E. Record linkage, wires computational statistics 2010, John Wiley & Sons, p. 9.
12. Jones L., Sujansky W. Patient Data Matching Software: A Buyer's guide for the budget conscious 2004, California Health Care Foundation, California, p. 30.
13. Christen P. Probabilistic data generation for deduplication and data linkage. In: Sixth international conference on intelligent data engineering and automated learning (IDEAL'05). Brisbane; 2005. p. 8.
14. Ferrante A., Boyd J.H. Data linkage software evaluation: a first report (part I) 2010, PHRN Centre for Data Linkage, Curtin University, Perth, p. 45.
15. Christen P. Febrl - a freely available record linkage system with a graphical user interface. In: Second Australasian workshop on health data and knowledge management. Wollongong, NSW; 2008.
16. Hernandez MA, Stolfo SJ. The merge/purge problem for large databases. In: Proceedings of the ACM SIGMOD conference. ACM New York, San Jose, California; 1995. p. 127-38.
17. Hernandez M. UIS Database Generator; 1997.
18. Bertolazzi P, De Santis L, Scannapieco M. Automated record matching in cooperative information systems. In: Proceedings of the international workshop on data quality in cooperative information systems. Siena, Italy; 2003.
19. WHO. World health statistics; 2008.
20. Fellegi I., Sunter A. A theory for record linkage. J Am Stat Assoc 1969, 64:1183-1210.
21. Newcombe H., Kennedy J. Record linkage: making maximum use of the discriminating power of identifying information. Commun ACM 1962, 5:563-566.
22. Pinder R, Chong N. Record linkage for registries: current approaches and innovative applications. In: Presentation to the North American association of central cancer registries informatics workshop. Toronto, Canada; 2002.
23. Gomatam S., Carter R., Ariet M., Mitchell G. An empirical comparison of record linkage procedures. Stat Med 2002, 21:1485-1496.
24. Clark DE, Hahn DR. Comparison of probabilistic and deterministic record linkage in the development of a statewide trauma registry. In: Proceedings from the annual symposium on computer application in medical care; 1995. p. 397-401.
25. Gill L.E. OX-LINK: the oxford medical record linkage system, record linkage techniques 1997, University of Oxford, Oxford, p. 19.
26. Bishop G., Khoo J. Methodology of evaluating the quality of probabilistic linking 2007, Australian Bureau of Statistics, Analytical Services Branch, Canberra, p. 20.
27. Christen P., Goiser K. Quality and complexity measures for data linkage and deduplication. Quality measures in data mining studies in computational intelligence 2007, 127-151. Springer. F. Guillet, H. Hamilton (Eds.).
28. Newcombe H.B. Handbook for record linkage: methods for health and statistical studies 1988, Administration and Business, Oxford University Press, New York.
29. Day C. Record linkage I: evaluation of commercially available record linkage software for use in NASS. Washington DC; 1995.