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Supporting Accurate Interpretation of Self-Administered Medical Test Results for Mobile Health: Assessment of Design, Demographics, and Health Condition.

Jess C HohensteinEric Ps BaumerLindsay ReynoldsElizabeth L MurnaneDakota O'DellSeoho LeeShion GuhaYu QiErin Yildirim RiegerGeri Gay
Published in: JMIR human factors (2018)
Our findings illustrate both promises and challenges of interpreting medical data outside of a clinical setting and suggest instances where personal informatics may be inappropriate. In surfacing these tensions, we outline concrete interface design strategies that are more sensitive to users' capabilities and conditions.
Keyphrases
  • healthcare
  • electronic health record
  • big data
  • public health
  • mental health
  • high resolution
  • risk assessment
  • deep learning
  • health promotion