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UniCoDaTraN
Universal Coding and Data Transmission in Neuro rehabilitation
(clinical neurology)
Jo Van Vaerenbergh
http://www.cmat.be
HOW
WH
Y
WHAT
•920.000 new stroke cases / year
•Slow and expensive process of rehabilitation
•Medical decision and proven data of therapy efficiency
User-friendly and internet based software that fulfill a social and political expectation for a substantial and honest cost-cutting by measuring therapeutic efficiency in terms of mean quality-adjusted duration.
Integration of 7 projects
1. Data sampling and refining
2. Taxonomy
3. Natural Language Understanding
4. Professional software development
5. Dissemination
6. Integration phase – Markov modelling
7. Large scale implemenation in Health Care management
Is it worth the effort?
RehabilitationStrongly branched
Sufficient know howSlow adapting
GovernmentCost cutting
Guidelines ofEffectiveness
ICD9-10 codes
Win/Win
Results of a Survey
71 70
14
90
0102030405060708090
informationexchange is
difficult
U.C. isWelcome
Scales aresufficient
expression offeelings in
words
OverviewIntegrated Project
ClinicalRehabilition
Engineering
P1P2
P3
P4
P5
P6
P7
Quantitative dataQualitative data
patient y 1
patient y 1
patient y 1
Clustering
Taxonomy
Statistics and neural networks
codedescriptions Semantic Indexing
(middleware)
ProfessionalMedical Software
User interface
Language andComputing N.V.
Omega PharmaDatasoft N.V.
Medical reportcode
Dissemination
Integration therapeutic efficiencyM
arkov Modelling
Health C
are managem
ent‘m
ean quality-adjusted duration
Health EconomicsDifferent E.U.Universities
ArteveldehogeschoolSouthampton UniveritySouthampton Univerity
Salisbury HospitalPalfijn – MM HospitalBerlin Univ Hospital
Reharob – groupReharob – groupGentle/s – groupGentle/s – group
Motek N.V.MIT
Reha-Stim
Age+stroke+left+MCA+diabetes+reh.month3+code5 = profile X
In name of the consortiumThanks for listening
