Integration of Personal Health Records with Mobile Devices
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
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)
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.
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
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)
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.
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. 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.