Enabling Self-Monitoring Data Exchange in Participatory Medicine

Guillermo Lopez-Campos, Bahadorreza Ofoghi, Fernando J Martin-Sanchez

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)1102
JournalStudies in Health Technology and Informatics
Volume216
Publication statusPublished - 2015
Externally publishedYes

Keywords

  • Diagnostic Self Evaluation
  • Health Information Exchange
  • Patient Participation
  • Programming Languages
  • Software
  • Vocabulary, Controlled
  • Journal Article
  • Research Support, Non-U.S. Gov't

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