81218d698441c59b3ff04f85aca5dd54  intjouenvrespubhea_a2015v12n8p9832.pdf
82dc55bf2502937d9cc42f573d75a1ed890599c0  intjouenvrespubhea_a2015v12n8p9832.pdf
5ab6daeb05c6dc04f5aa73522bbabe1db6c827f4ec56db7dec4cd9965ec34bfb  intjouenvrespubhea_a2015v12n8p9832.pdf

Title:          Monitoring and Prognosis System Based on the ICF for People with Traumatic Brain Injury
Subject:        The objective of this research is to provide a standardized platform to monitor and predict indicators of people with traumatic brain injury using the International Classification of Functioning, Disability and Health, and analyze its potential benefits for people with disabilities, health centers and administrations. We developed a platform that allows automatic standardization and automatic graphical representations of indicators of the status of individuals and populations. We used data from 730 people with acquired brain injury performing periodic comprehensive evaluations in the years 2006–2013. Health professionals noted that the use of color-coded graphical representation is useful for quickly diagnose failures, limitations or restrictions in rehabilitation. The prognosis system achieves 41% of accuracy and sensitivity in the prediction of emotional functions, and 48% of accuracy and sensitivity in the prediction of executive functions. This monitoring and prognosis system has the potential to: (1) save costs and time, (2) provide more information to make decisions, (3) promote interoperability, (4) facilitate joint decision-making, 
and (5) improve policies of socioeconomic evaluation of the burden of disease. Professionals found the monitoring system useful because it generates a more comprehensive understanding of health oriented to the profile of the patients, instead of their diseases and injuries. 
Keywords:       international classification of functioning; disability and health; medical records; information systems; brain injuries; prognosis; public health


Author:         Laia Subirats, Raquel Lopez-Blazquez, Luigi Ceccaroni, Mariona Gifre, Felip Miralles, Alejandro García-Rudolph, Jose María Tormos
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