Le Valais est un terreau fertile pour le développement du eHealth. En effet, les savoir-faire dans les domaines de la santé et des technologies de l’information (ICT) y sont très développés. Le Forum The Ark du 29 novembre a été l’occasion de présenter ces savoir-faire. A cette occasion, Prof. Dr Michael Schumacher a présenté G-DEMANDE.

1. Monitoring Gestational Diabetes
Applied Intelligent Systems Lab
29th of November 2012 – TheArk eHealth event
aislab.hevs.ch
Dr. Stefano Bromuri, Johannes Krampf, Dr René Schumann,
Prof. Dr. Michael Schumacher

2. G-DEMANDE: Monitoring
Gestational Diabetes Mellitus
o Gestational diabetes mellitus (GDM) is a
condition that affects 2-5% of all the
pregnancies and manifests itself with
high blood sugar levels during
pregnancy.
o It can cause health problems for mother
and child like,
n Preeclampsia, Eclampsia,
n Hyperglycemia,
n Macrosomia, and
n Diabetes type II
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3. Problems in current Care
1. Current treatment practices:
Doctors usually see patient 2-3
times a week. In case of
hyperglycemia, the patient may
arrive too late.
2. At each patient visit, the doctor
sees the glucose levels and blood
pressure at the very moment of the
consultancy, and not the evolution
of the values.
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4. Mobile data acquisition
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5. Pervasive Health System
o Incoming physiological patient data is
a) Stored in a database
b) Forwarded to an expert system analyzing the data
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6. Expert System (Golem)
o An expert agent is monitoring
the condition of one patient…
o … and reasoning on its values
o To scale-up the agents can be:
n distributed to different nodes;
n activated and deactivated by a
balancer;
n persisted in an agent database.
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7. Medical knowledge representation
Abductive Rules Example
Described rules
(abductive &
deductive) for the
agents.
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12. Feasibility tests within CHUV hospital
o Started in November 2012 for a period of 6-9 months
with 12 patients
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13. Applied Intelligent Systems Lab (2009-2012)
o Chronic disease monitoring
o eHealth interoperability standards
o Medical data analysis
o Medical decision support
o (in the future: Healthcare coordination)
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