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
Department of Neurosurgery, Medicine and Life Sciences Education, Maastricht University Medical Center, Maastricht, The Netherlands.
Surg Neurol Int. 2011 Mar 23;2:32. doi: 10.4103/2152-7806.78238.
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.
将证据应用于实践是现代医学中的一个关键问题。信息检索的主要障碍是时间。临床决策支持系统（CDSS）可以提高对指南的依从性。越来越多的证据表明，手持电脑上的移动CDSS有助于医生为患者提供恰当的治疗。下颈椎损伤几乎占脊柱损伤的一半，并且是大多数脊髓损伤的原因。存在一种有效且可靠的分类方法，包括基于证据的治疗算法。关于这个主题的移动CDSS尚未问世。我们基于下颈椎损伤分类（SLIC）和5种用于下颈椎损伤手术治疗的循证治疗算法开发并测试了一款iPhone应用程序。该应用程序可免费下载。诚挚邀请用户提供反馈，以便指导针对脊柱创伤性病变的CDSS的进一步开发和评估。
