PGIS: Electronic diary data integration with GPS data initial application in substance-abuse patients

Massoud Vahabzadeh, Mustapha Mezghanni, Jia Ling Lin, David H. Epstein, Kenzie L. Preston

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Quantification of exposure to psychosocial stressors and drug availability might assist in the prevention and treatment of substance-use problems. The core of such interventions lies in combining real-time self-report data (via Ecological Momentary Assessment, EMA) with real-time geolocation data (via GPS logging). Combining these types of data and linking the result with patients' clinical research records has inherent technical challenges. In this paper, we describe how we have addressed those challenges with our Psychosocial Geolocation Integration System (PGIS), which we successfully used in two clinical studies involving polydrug-abusing participants.

Original languageEnglish (US)
Title of host publicationProceedings of the 23rd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2010
Pages474-479
Number of pages6
DOIs
StatePublished - Dec 1 2010
Event23rd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2010 - Perth, Australia
Duration: Oct 12 2010Oct 15 2010

Publication series

NameProceedings - IEEE Symposium on Computer-Based Medical Systems
ISSN (Print)1063-7125

Other

Other23rd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2010
Country/TerritoryAustralia
CityPerth
Period10/12/1010/15/10

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

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