Business intelligence tools to optimize the appropriateness of the diagnostic process for clinical and epidemiologic purposes in a multicenter veterinary pathology service
Autor: | A. Barberio, Fabrizio Agnoletti, Gaddo Vicenzoni, Eliana Schiavon, Alexander Tavella, Monia Cocchi, Laura D’Este, Federica Gobbo, Salvatore Catania, Laura Viel, Laura Gagliazzo, Nicola Pozzato, Debora Dellamaria, Denis Vio, Marta Vascellari, Luca Bano, K. Trevisiol |
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Rok vydání: | 2021 |
Předmět: |
Service (business)
Process management General Veterinary Special Issue 040301 veterinary sciences Computer science Process (engineering) business.industry Dashboard (business) Veterinary pathology 04 agricultural and veterinary sciences Animal Diseases 0403 veterinary science 03 medical and health sciences 0302 clinical medicine Italy Business intelligence Animals 030212 general & internal medicine business Pathology Veterinary |
Zdroj: | J Vet Diagn Invest |
ISSN: | 1943-4936 1040-6387 |
DOI: | 10.1177/10406387211003163 |
Popis: | Laboratory tests provide essential support to the veterinary practitioner, and their use has grown exponentially. This growth is the result of several factors, such as the eradication of historical diseases, the occurrence of multifactorial diseases, and the obligation to control endemic and epidemic diseases. However, the introduction of novel techniques is counterbalanced by economic constraints, and the establishment of evidence- and consensus-based guidelines is essential to support the pathologist. Therefore, we developed standardized protocols, categorized by species, type of production, age, and syndrome at the Istituto Zooprofilattico Sperimentale delle Venezie (IZSVe), a multicenter institution for animal health and food safety. We have 72 protocols in use for livestock, poultry, and pets, categorized as, for example, “bovine enteric calf”, “rabbit respiratory”, “broiler articular”. Each protocol consists of a panel of tests, divided into ‘mandatory’ and ‘ancillary’, to be selected by the pathologist in order to reach the final diagnosis. After autopsy, the case is categorized into a specific syndrome, subsequently referred to as a syndrome-specific panel of analyses. The activity of the laboratories is monitored through a web-based dynamic reporting system developed using a business intelligence product (QlikView) connected to the laboratory information management system (IZILAB). On a daily basis, reports become available at general, laboratory, and case levels, and are updated as needed. The reporting system highlights epidemiologic variations in the field and allows verification of compliance with the protocols within the organization. The diagnostic protocols are revised annually to increase system efficiency and to address stakeholder requests. |
Databáze: | OpenAIRE |
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