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RHI innovation incorporated into SCI registries and EMRs around the world

Since launching in 2012, the RHI-developed, ISNCSCI Algorithm has quickly gained popularity in the clinical and research communities as a reliable tool that supports the classification of spinal cord injuries.

Accurately classifying spinal cord injuries is important to inform patient recovery expectations, evaluate the impact of clinical and research interventions and ensure high quality data for clinical trials. The Algorithm is based on the International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI) – the gold standard for determining neurological impairment after SCI. Since launching in 2012, more than 51,000 users in 161 countries have visited the website and the source code has been downloaded 989 times (data collected between August 1, 2012 and April 15, 2018). A recent survey conducted by RHI's ISNCSCI Algorithm team also found that 84% of survey users reported that using the Algorithm increased their confidence in classifying ISNCSCI assessments.

Organizations and hospitals around the world are working with RHI to implement the Algorithm into their systems. Electronic medical records including the Spinal Cord Injury of Western Denmark, Oulu University Hospital in Finland, the Craig Hospital and Epic Systems Corporation which supports EMRs internationally. SCI registries using the Algorithm include Australasian Spinal Care Registry, New Zealand Spinal Cord Injury Registry and the Rick Hansen SCI Registry. Most recently, the US National Spinal Cord Injury Model Systems, which includes 14 centers providing specialized SCI rehabilitation care across the US, successfully integrated the Algorithm into their data management system with support from RHI.

To learn more about the ISNCSCI Algorithm's reach and results from the survey, click on the infographics below to expand.

ISNCSCI Algorithm Project Spotlight infographic FINAL2 


ISNCSCI survey infographic 2018 FINAL 4june18