Literature DB >> 17531346

The O3-Vet project: a veterinary electronic patient record based on the web technology and the ADT-IHE actor for veterinary hospitals.

M Zaninelli1, F M Tangorra, S Castano, A Ferrara, E Ferro, P G Brambilla, S Faverzani, S Chinosi, P Scarpa, M Di Giancamillo, D Zani, A Zepponi, C Saccavini.   

Abstract

A veterinary electronic patient record, compliant with the IT standards (HL7, DICOM and IHE), was developed at the School of Veterinary Medicine, University of Milan (Italy) in order to improve the veterinary hospital workflows, making the stored clinical data more homogenous and sharable, thereby increasing the integration with current and future software applications. The system was developed by open-source software in order to reduce the implementation and maintenance costs and to make the system sharable with other veterinary hospitals or research centers without additional costs. The system was tested from May to October 2006. Results show that the majority of the veterinarians involved in the test agreed on the advantages obtained by the use of application software concerning the availability of all the useful clinical data [71.4%], the quality of the diagnostic procedures [78.58%] and the efficiency [85.58%] of hospital activities.

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Year:  2007        PMID: 17531346     DOI: 10.1016/j.cmpb.2007.04.005

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  3 in total

1.  Survey of electronic veterinary medical record adoption and use by independent small animal veterinary medical practices in Massachusetts.

Authors:  Lauren M Krone; Catherine M Brown; Joann M Lindenmayer
Journal:  J Am Vet Med Assoc       Date:  2014-08-01       Impact factor: 1.936

2.  Development of a Machine Vision Method for the Monitoring of Laying Hens and Detection of Multiple Nest Occupations.

Authors:  Mauro Zaninelli; Veronica Redaelli; Fabio Luzi; Malcolm Mitchell; Valentino Bontempo; Donata Cattaneo; Vittorio Dell'Orto; Giovanni Savoini
Journal:  Sensors (Basel)       Date:  2018-01-05       Impact factor: 3.576

3.  First Results of a Detection Sensor for the Monitoring of Laying Hens Reared in a Commercial Organic Egg Production Farm Based on the Use of Infrared Technology.

Authors:  Mauro Zaninelli; Veronica Redaelli; Erica Tirloni; Cristian Bernardi; Vittorio Dell'Orto; Giovanni Savoini
Journal:  Sensors (Basel)       Date:  2016-10-21       Impact factor: 3.576

  3 in total

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