Literature DB >> 33769152

Business intelligence tools to optimize the appropriateness of the diagnostic process for clinical and epidemiologic purposes in a multicenter veterinary pathology service.

Nicola Pozzato1, Laura D'Este1, Laura Gagliazzo1, Marta Vascellari1, Monia Cocchi1, Fabrizio Agnoletti1, Luca Bano1, Antonio Barberio1, Debora Dellamaria1, Federica Gobbo1, Eliana Schiavon1, Alexander Tavella1, Karin Trevisiol1, Laura Viel1, Denis Vio1, Salvatore Catania1, Gaddo Vicenzoni1.   

Abstract

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.

Entities:  

Keywords:  appropriateness; business intelligence; dashboard; diagnosis; pathology

Mesh:

Year:  2021        PMID: 33769152      PMCID: PMC8120072          DOI: 10.1177/10406387211003163

Source DB:  PubMed          Journal:  J Vet Diagn Invest        ISSN: 1040-6387            Impact factor:   1.279


  20 in total

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Journal:  PLoS One       Date:  2019-10-16       Impact factor: 3.240

9.  Secondary use of routine data in hospitals: description of a scalable analytical platform based on a business intelligence system.

Authors:  Jan A Roth; Nicole Goebel; Thomas Sakoparnig; Simon Neubauer; Eleonore Kuenzel-Pawlik; Martin Gerber; Andreas F Widmer; Christian Abshagen; Rakesh Padiyath; Balthasar L Hug
Journal:  JAMIA Open       Date:  2018-09-20
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  1 in total

1.  Leveraging and enhancing the value of veterinary diagnostic laboratory data.

Authors:  Brian McCluskey
Journal:  J Vet Diagn Invest       Date:  2021-05       Impact factor: 1.279

  1 in total

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