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An evidence-based mobile decision support system for subaxial cervical spine injury treatment.
Kubben, P L; van Santbrink, H; Cornips, E M J; Vaccaro, A R; Dvorak, M F; van Rhijn, L W; Scherpbier, A J J A; Hoogland, H.
Afiliação
  • Kubben PL; Department of Neurosurgery, Medicine and Life Sciences Education, Maastricht University Medical Center, Maastricht, The Netherlands.
Surg Neurol Int ; 2: 32, 2011 Mar 23.
Article em En | MEDLINE | ID: mdl-21541200
ABSTRACT
Bringing evidence to practice is a key issue in modern medicine. The key barrier to information searching is time. Clinical decision support systems (CDSS) can improve guideline adherence. Mounting evidence exists that mobile CDSS on handheld computers support physicians in delivering appropriate care to their patients. Subaxial cervical spine injuries account for almost half of spine injuries, and a majority of spinal cord injuries. A valid and reliable classification exists, including evidence-based treatment algorithms. A mobile CDSS on this topic was not yet available. We developed and tested an iPhone application based on the Subaxial Injury Classification (SLIC) and 5 evidence-based treatment algorithms for the surgical approach to subaxial cervical spine injuries. The application can be downloaded for free. Users are cordially invited to provide feedback in order to direct further development and evaluation of CDSS for traumatic lesions of the spinal column.
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Texto completo: 1 Coleções: 01-internacional Temas: Fomentar_producao_conhecimento_especifico Contexto em Saúde: 1_ASSA2030 Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Revista: Surg Neurol Int Ano de publicação: 2011 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Temas: Fomentar_producao_conhecimento_especifico Contexto em Saúde: 1_ASSA2030 Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Revista: Surg Neurol Int Ano de publicação: 2011 Tipo de documento: Article