Detalhes bibliográficos
| Ano de defesa: |
2024 |
| Autor(a) principal: |
Gisele Caldas Bonato |
| Orientador(a): |
Ricardo Antonio Amaral de Lemos |
| Banca de defesa: |
Não Informado pela instituição |
| Tipo de documento: |
Tese
|
| Tipo de acesso: |
Acesso aberto |
| Idioma: |
por |
| Instituição de defesa: |
Fundação Universidade Federal de Mato Grosso do Sul
|
| Programa de Pós-Graduação: |
Não Informado pela instituição
|
| Departamento: |
Não Informado pela instituição
|
| País: |
Brasil
|
| Palavras-chave em Português: |
|
| Link de acesso: |
https://repositorio.ufms.br/handle/123456789/9485
|
Resumo: |
Veterinary Diagnostic Laboratories (VDLs) play a crucial role in research, development and innovation for disease control. Reducing losses caused by health problems is fundamental to achieving economic efficiency and the efficiency of laboratory and veterinary services. The data generated from laboratory services contributes to field veterinarians and educational institutions through the exchange of this information. Conducting retrospective studies helps to identify the causes and conditions in which diseases occur, but there are challenges such as inadequate sample collection and lack of information. The aim of this study was to implement strategies to improve the efficiency and communication of veterinary diagnostic laboratories. The Whatsapp® messaging app was implemented to improve communication between LDVs, veterinarians and producers. This included sending images of clinical cases, exchanging information in a specific group and technical publications to disseminate knowledge. From the strategy implemented, scientific articles, book chapters and technical notes were generated. This strengthens technical knowledge and promotes continuing education for professionals, as well as increasing collaboration with the sector. The use of modern communication tools, such as WhatsApp, has proved crucial in improving the efficiency of LDVs. The methodology implemented was effective in increasing the number of conclusive diagnoses compared to the previous year and in identifying under-reported diseases, monitoring outbreaks and identifying wrong veterinary practices by professionals and correcting them. The materials obtained are an important source for the laboratory and can be transformed into scientific and technical publications. Keywords: veterinary diagnosis; social media; animal health. |
