Presented by Sarita Pais Auckland University of Technology

1. S a r i t a P a i s
S U P E R V I S O R S : D r D a v e P a r r y , A U T
D r E l a i n e R u s h , A U T
Integration of Personal Health
Records with Mobile Devices
for the Self-management

2. Obesity and lifestyle related diseases
 Significant problem worldwide and in New Zealand
society
 New Zealand's weight problem is gobbling up more than
4 per cent of what we spend on health care. (Johnston,
2012)
 New Zealand adults are on average the second heaviest
among 50 countries. (Johnston, 2013)
 Need to improve one’s own health
 Patient-controlled electronic health record (National
Health IT Board 2010)
 Share their personal health information with their health
practitioner(s)

3. Current Research
 The aim of this research is to develop requirements
for useful “constellations” of apps
 Include personal electronic health records
 Develop a method of integrating and assessing the
compatibility and semantic interoperability (Mead
2006) (Haslhofer & Klas 2010) of various health and
wellness apps
 Accessible by various stakeholders like health
professionals, family/whanau, social networks,
commercial providers and community organisations
and the person using the application.

4. Wellness apps
 Inputs like body weight, gender, number of calories
to be consumed in a day, number of calories actually
consumed in a day
 Food databases which can calculate the food calories
for the portion size
 Nutritional information

5. Data Interoperability
 Ability to use data from one system to another system
 Metadata is required
 Schema definition languages like XML schema, SQL-
DDL, RDF and ontologies are different ways to achieve
this (Haslhofer & Klas 2010)
 Clinical data interoperability has been developed through
standards like HL7
 Ontologies like SNOMED CT (Systematized
Nomenclature of Medicine-clinical
Terms(http://www.ihtsdo.org/snow-dt/), MeSH
(Medical Subject Headings)
(http://www.ncbi.nlm.nih.gov/mesh) (Bodenreider,
2008)

6. Food Ontologies
 Very few food ontologies are known like the Wine
and Food Ontology, Eurocode2, ITACA (Cantais, et
al. 2005) and the food category available on
bioportal (biportal).
 Only ITACA has nutritional information
on the food
 New Zealand Food Composition Database included
nutritional information. The data is formatted in
CSV, XML which could be easily exported to another
database.

7. Example food ontology
<rdf:RDF
xmlns = "http://krono.act.uji.es/Links/ontologies/food.owl#"
xmlns:food= "http://krono.act.uji.es/Links/ontologies/food.owl#"
xml:base = "http://krono.act.uji.es/Links/ontologies/food.owl"
xmlns:vin = "http://krono.act.uji.es/Links/ontologies/wine.owl#"
xmlns:owl = "http://www.w3.org/2002/07/owl#"
xmlns:rdf = "http://www.w3.org/1999/02/22-rdf-syntax-ns#"
xmlns:rdfs= "http://www.w3.org/2000/01/rdf-schema#">
<owl:Ontology rdf:about="">
<rdfs:comment>
Derived from the DAML Food ontology at
http://ontolingua.stanford.edu/doc/chimaera/ontologies/foods.daml
Substantially modified.
</rdfs:comment>
<owl:imports rdf:resource="http://krono.act.uji.es/Links/ontologies/wine.owl"/>
</owl:Ontology>
<owl:Class rdf:ID="ConsumableThing" />
<owl:Class rdf:ID="NonConsumableThing">
<owl:complementOf rdf:resource="#ConsumableThing" />
</owl:Class>
<owl:Class rdf:ID="EdibleThing">
<rdfs:subClassOf rdf:resource="#ConsumableThing" />
</owl:Class>
<owl:Class rdf:ID="PotableLiquid">
<rdfs:subClassOf rdf:resource="#ConsumableThing" />
<owl:disjointWith rdf:resource="#EdibleThing" />
</owl:Class>
(Source: http://krono.act.uji.es/Links/ontologies/food.owl/view)

8. Building schema
 From ontologies
 Proposed as a possible solution

9. References
 Biportal, Retrieved from http://bioportal.bioontology.org/search?query=food&commit=Search on 27-
02-2013.
 Bodenreider, O. (2008). Biomedical ontologies in action: Role in knowledge
management, data integration and decision support, IMIA Yearbook of Medical
Informatics, 47(1), 67-79.
 Cantais, J., Dominguez, D., Gigante, V., Laera, L. & Tamma, V. (2005). An example of
food ontology for diabetes control, Working notes of the ISWC 2005 Workshop on
Ontology Patterns for the Semantic Web, Retrieved from
http://www.inf.ufsc.br/~gauthier/EGC6006/material/Aula%205/An%20example%20of
%20food%20ontology%20for%20diabetes%20control.pdf
 Johnston, M. (2012) Obesity gobbles up health dollars, Retrieved from
http://www.nzherald.co.nz/lifestyle/news/article.cfm?c_id=6&objectid=10853018 Mart
in Johnston on Dec 10, 2012.
 Johnston, M. (2013) Fat NZ: Health crisis looming – experts, Retrieved from
http://www.nzherald.co.nz/nz/news/article.cfm?c_id=1&objectid=10885815 on May
24, 2013
 Mead, C. N. (2006). "Data Interchange Standards in Healthcare IT-Computable Semantic
Interoperability: Now Possible but Still Difficult. Do We Really Need a Better
Mousetrap?" Journal of Healthcare Information Management 20(1): 71.
 National Health IT Board. (2010, September 2010). "The National Health IT Plan."
Retrieved 1st Novemebr 2012.