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Báo cáo khoa học: " Validation of computerized diagnostic information in a clinical database from a national equine clinic network"

Tuyển tập các báo cáo nghiên cứu về bệnh học thý y được đăng trên tạp chí Acta Veterinaria Scandinavica cung cấp cho các bạn kiến thức về bệnh thú y đề tài: Validation of computerized diagnostic information in a clinical database from a national equine clinic network. | Acta Veterinaria Scandinavica BioMed Central Research Validation of computerized diagnostic information in a clinical database from a national equine clinic network Johanna C Penell 1 Brenda N Bonnett2 John Pringle1 and Agneta Egenvall1 Open Access Address Department of Clinical Sciences Faculty of Veterinary Medicine and Animal Science Swedish University of Agricultural Sciences PO Box 7054 SE-750 07 Uppsala Sweden and 2Department of Population Medicine Ontario Veterinary College University of Guelph Guelph Ontario N1G 2W1 Canada Email Johanna C Penell - Johanna.Penell@kv.slu.se Brenda N Bonnett - bbonnett@ovc.uoguelph.ca John Pringle - John.Pringle@kv.slu.se Agneta Egenvall - Agneta.Egenvall@kv.slu.se Corresponding author Published 10 December 2009 Received 30 July 2009 . _ . r. J - . m J. in m r I rn Accepted 10 December 2009 Acta Veterinaria Scandinavica 2009 51 50 doi 10.1186 1751-0147-51-50 This article is available from http www.actavetscand.cOm content 51 1 50 2009 Penell et al licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http creativecommons.org licenses by 2.0 which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background Computerized diagnostic information offers potential for epidemiological research however data accuracy must be addressed. The principal aim of this study was to evaluate the completeness and correctness of diagnostic information in a computerized equine clinical database compared to corresponding hand written veterinary clinical records used as gold standard and to assess factors related to correctness. Further the aim was to investigate completeness epidemiologic sensitivity correctness positive predictive value specificity and prevalence for diagnoses for four body systems and correctness for affected limb information for four joint diseases. Methods A random sample of 450