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Guideline-Based Algorithmic Recommendations Versus Multidisciplinary Team Advice for Gynecologic Oncology.
Ebben, Kees; van Houdt, Marleen; de Kroon, Cor; van der Werf, Jurrian.
Afiliação
  • Ebben K; Department of Research and Development, Netherlands Comprehensive Cancer Organization, Utrecht, The Netherlands.
  • van Houdt M; Department of Research and Development, Netherlands Comprehensive Cancer Organization, Utrecht, The Netherlands.
  • de Kroon C; Department of Gynecology and Obstetrics, Leiden University Medical Center, Leiden, The Netherlands.
  • van der Werf J; Department of Research and Development, Netherlands Comprehensive Cancer Organization, Utrecht, The Netherlands.
Stud Health Technol Inform ; 302: 605-606, 2023 May 18.
Article em En | MEDLINE | ID: mdl-37203758
ABSTRACT
Evidence-based clinical decision making in oncology is challenging. Multi-disciplinary team (MDTs) meetings are organized to consider different diagnostic and treatment options. MDT advice are often based on clinical practice guideline recommendations which can be extensive and ambiguous, making it difficult to implement in clinical practice. To address this issue, guideline-based algorithms have been developed. These are applicable in clinical practice and enable accurate guideline adherence evaluation. This ongoing study aims to determine the optimal decision-making approach for different subpopulations of patients with high-incidence gynecological cancers.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias dos Genitais Femininos Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Limite: Female / Humans Idioma: En Revista: Stud Health Technol Inform Assunto da revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Holanda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias dos Genitais Femininos Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Limite: Female / Humans Idioma: En Revista: Stud Health Technol Inform Assunto da revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Holanda