The document proposes a conceptual model to better manage chronic conditions like asthma and COPD. The model would educate patients about environmental triggers and help them proactively respond using linked open data from sources like the EPA, Census, and EMRs. This could decrease emergency visits and hospital readmissions while improving self-care. The model would leverage semantic frameworks and standards to connect disparate data sources and provide personalized forecasts and prevention recommendations to patients.

1. Health
Data
Ini,a,ve
Forum
III
Health
Datapalooza
Using EMR and
Linked Open
Data to
Manage Chronic
Asthma and
COPD

2. Conceptual
MODEL
Pa$ents
with
chronic
pulmonary
disease
that
are
educated
and
no$fied
of
adverse
environmental,
weather,
and
geographic
condi$ons
are
.
.
.
be#er
able
to
respond
and
proac/vely
manage
their
condi/on.
Health
Data
Ini,a,ve
Forum
III
Health
Datapalooza

3. Value
PROPOSITION
MODEL
Decrease in
costly
Emergency
Department
visits
Reduce
hospital
re-­‐admissions
aBer
treatment
Improve self-­‐care
and
medica$on
compliance
Awareness
of
triggers
and
disease
management
Health
Data
Ini,a,ve
Forum
III
Health
Datapalooza

4. Health
Data
Ini,a,ve
Forum
III
Health
Datapalooza

5. Data
ELEMENTS
CDC
EPA
Open
Government
Linked
Data
DBpedia
US
Census
Data
Cloud
Pub
Med
Clinical
Ontology
NLM
Business
Ontology
Social
Media
Internal
Portal
Data
Facebook
Physicians
TwiPer
Services
Loca$ons
EMR
Data
Asthma
Pa0ent
Data
Health
Data
Ini,a,ve
Forum
III
Health
Datapalooza

6. Leverage
Linked
DATA,
OPEN
SOURCE
&
STANDARDS
SEMANTIC
FRAMEWORK
Web
of
Data
CDC
DBpedia
SMS
EPA
Pub
Med
US
Census
NLM
Email
Web
EMR
Health
Data
Ini,a,ve
Forum
III
Health
Datapalooza

7. Today’s
Asthma
Forecast
Current
An0cipate
and
Prevent
EPA
Data
Pa0ent
Admission
Data
by
Date
Historic
EPA
Data
at
Admission
Health
Data
Ini,a,ve
Forum
III
Health
Datapalooza