S a r i t a P a i sS U P E R V I S O R S : D r D a v e P a r r y , A U TD r E l a i n e R u s h , A U TIntegration of Pers...
Obesity and lifestyle related diseases Significant problem worldwide and in New Zealandsociety New Zealands weight probl...
Current Research The aim of this research is to develop requirementsfor useful “constellations” of apps Include personal...
Wellness apps Inputs like body weight, gender, number of caloriesto be consumed in a day, number of calories actuallycons...
Data Interoperability Ability to use data from one system to another system Metadata is required Schema definition lang...
Food Ontologies Very few food ontologies are known like the Wineand Food Ontology, Eurocode2, ITACA (Cantais, etal. 2005)...
Example food ontology<rdf:RDFxmlns = "http://krono.act.uji.es/Links/ontologies/food.owl#"xmlns:food= "http://krono.act.uji...
Building schema From ontologies Proposed as a possible solution
References Biportal, Retrieved from http://bioportal.bioontology.org/search?query=food&commit=Search on 27-02-2013. Bode...
Upcoming SlideShare
Loading in...5
×

Integration of Personal Health Records with Mobile Devices

377

Published on

Presented by Sarita Pais
Auckland University of Technology

Published in: Health & Medicine, Education
0 Comments
1 Like
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total Views
377
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
0
Comments
0
Likes
1
Embeds 0
No embeds

No notes for slide

Transcript of "Integration of Personal Health Records with Mobile Devices"

  1. 1. S a r i t a P a i sS U P E R V I S O R S : D r D a v e P a r r y , A U TD r E l a i n e R u s h , A U TIntegration of Personal HealthRecords with Mobile Devicesfor the Self-management
  2. 2. Obesity and lifestyle related diseases Significant problem worldwide and in New Zealandsociety New Zealands weight problem is gobbling up more than4 per cent of what we spend on health care. (Johnston,2012) New Zealand adults are on average the second heaviestamong 50 countries. (Johnston, 2013) Need to improve one’s own health Patient-controlled electronic health record (NationalHealth IT Board 2010) Share their personal health information with their healthpractitioner(s)
  3. 3. Current Research The aim of this research is to develop requirementsfor useful “constellations” of apps Include personal electronic health records Develop a method of integrating and assessing thecompatibility and semantic interoperability (Mead2006) (Haslhofer & Klas 2010) of various health andwellness apps Accessible by various stakeholders like healthprofessionals, family/whanau, social networks,commercial providers and community organisationsand the person using the application.
  4. 4. Wellness apps Inputs like body weight, gender, number of caloriesto be consumed in a day, number of calories actuallyconsumed in a day Food databases which can calculate the food caloriesfor the portion size Nutritional information
  5. 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 achievethis (Haslhofer & Klas 2010) Clinical data interoperability has been developed throughstandards like HL7 Ontologies like SNOMED CT (SystematizedNomenclature of Medicine-clinicalTerms(http://www.ihtsdo.org/snow-dt/), MeSH(Medical Subject Headings)(http://www.ncbi.nlm.nih.gov/mesh) (Bodenreider,2008)
  6. 6. Food Ontologies Very few food ontologies are known like the Wineand Food Ontology, Eurocode2, ITACA (Cantais, etal. 2005) and the food category available onbioportal (biportal). Only ITACA has nutritional informationon the food New Zealand Food Composition Database includednutritional information. The data is formatted inCSV, XML which could be easily exported to anotherdatabase.
  7. 7. Example food ontology<rdf:RDFxmlns = "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 athttp://ontolingua.stanford.edu/doc/chimaera/ontologies/foods.damlSubstantially 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. 8. Building schema From ontologies Proposed as a possible solution
  9. 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 knowledgemanagement, data integration and decision support, IMIA Yearbook of MedicalInformatics, 47(1), 67-79. Cantais, J., Dominguez, D., Gigante, V., Laera, L. & Tamma, V. (2005). An example offood ontology for diabetes control, Working notes of the ISWC 2005 Workshop onOntology Patterns for the Semantic Web, Retrieved fromhttp://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 fromhttp://www.nzherald.co.nz/lifestyle/news/article.cfm?c_id=6&objectid=10853018 Martin Johnston on Dec 10, 2012. Johnston, M. (2013) Fat NZ: Health crisis looming – experts, Retrieved fromhttp://www.nzherald.co.nz/nz/news/article.cfm?c_id=1&objectid=10885815 on May24, 2013 Mead, C. N. (2006). "Data Interchange Standards in Healthcare IT-Computable SemanticInteroperability: Now Possible but Still Difficult. Do We Really Need a BetterMousetrap?" Journal of Healthcare Information Management 20(1): 71. National Health IT Board. (2010, September 2010). "The National Health IT Plan."Retrieved 1st Novemebr 2012.

×