An evidence-based mobile decision support system for subaxial cervical spine injury treatment

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

Keywords : Algorithms,classification,education,Guideline Adherence,injuries,Netherlands,Neurosurgery,Patients,Physicians,Spinal Cord,Spinal Cord Injuries,Spine,Time,Universities,, Evidencebased,Mobile,Decision,Support,System, acupuncture relief

Date of Publication : 2011 Mar 23

Authors : Kubben PL;van SH;Cornips EM;Vaccaro AR;Dvorak MF;van Rhijn LW;Scherpbier AJ;Hoogland H;

Organisation : Department of Neurosurgery, Medicine and Life Sciences Education, Maastricht University Medical Center, Maastricht, The Netherlands

Journal of Publication : Surg Neurol Int

Pubmed Link : https://www.ncbi.nlm.nih.gov/pubmed/21541200

The London Spine Unit : Harley Street UK. Specialists in Cutting Edge Technologies for Spinal Surgery

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