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Mednarodni projekti vir: SICRIS

Natural Language based decision support in neurorehabilitation

Uredi
Raziskovalci (1)
št. Evidenčna št. Ime in priimek Razisk. področje Vloga Obdobje Štev. publikacij
1.  07134  dr. Marko Munih  Sistemi in kibernetika  Vodja  2004 - 2007  0 
Organizacije (1)
št. Evidenčna št. Razisk. organizacija Kraj Matična številka Štev. publikacij
1.  1538  Univerza v Ljubljani, Fakulteta za elektrotehniko  Ljubljana  1626965  65 
Povzetek
The changes that occurring today in patient care and chart review demand dynamic, innovative changes in medical record keeping. The concept of Problem-oriented Medical Record, which started several years ago was the first revolutionary onset of a more organised medical record keeping. Complex problems encountered in neuro-rehabilitation however ask for a second revolution. Therefore ALLADIN will be developed.ALLADIN offers a new and the first reliable standard for calculating and predicting the functional recovery of stroke patients which is a crucial factor in client centred evidence based practice, discharge planning and utilization of rehabilitation resources. ALLADIN creates labels for conformity in the communication and understanding of neuro-rehabilitation data. This is a prerequisite for taking prompt and right decisions in stroke rehabilitation.ALLADIN makes clinical assessments and quantitative measurements exchangeable and fulfils in his way the wishes of therapists for user friendly, fast but reliable evaluation methods. ALLADIN outputs a numerical code attached to a operational definition of a milestone or marker for functional recovery, analogous wit the ICD-9-10 codes. It has at the same time trend-setting function for the further elaboration of the International Classification of functioning and disabilities (ICF) with the objective to facilitate multidisciplinary responsibility and co-ordination of interventions.
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