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 ca...

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Bibliographic Details
Published in:Surgical neurology international 2011-03, Vol.2 (1), p.32-32
Main Authors: 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
Format: Article
Language:English
Subjects:
Algorithms
Clinical medicine
Health care
Injuries
Software
Studies
Technology
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Summary: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.
ISSN:2152-7806
2229-5097
2152-7806
DOI:10.4103/2152-7806.78238