Enabling Self-Monitoring Data Exchange in Participatory Medicine.
The development of new methods, devices and apps for self-monitoring have enabled the extension of the application of these approaches for consumer health and research purposes. The increase in the number and variety of devices has generated a complex scenario where reporting guidelines and data exchange formats will be needed to ensure the quality of the information and the reproducibility of results of the experiments. Based on the Minimal Information for Self Monitoring Experiments (MISME) reporting guideline we have developed an XML format (MISME-ML) to facilitate data exchange for self monitoring experiments. We have also developed a sample instance to illustrate the concept and a Java MISME-ML validation tool. The implementation and adoption of these tools should contribute to the consolidation of a set of methods that ensure the reproducibility of self monitoring experiments for research purposes.
Health and Biomedical Informatics Centre, The University of Melbourne, Melbourne, VIC, Australia.
Guillermo
G
Lopez-Campos
Department of Computer and Information Systems, The University of Melbourne, Melbourne, VIC, Australia.
Bahadorreza
B
Ofoghi
Health and Biomedical Informatics Centre, The University of Melbourne, Melbourne, VIC, Australia.
Fernando
F
Martin-Sanchez
D059026:Diagnostic Self Evaluation; D066275:Health Information Exchange / Q000592:standards*; D010358:Patient Participation / Q000379:methods*; D011381:Programming Languages; D012984:Software; D018875:Vocabulary, Controlled