DiabeticLink: a health big data system for patient empowerment and personalized healthcare

  • Authors:
  • Hsinchun Chen;Sherri Compton;Owen Hsiao

  • Affiliations:
  • Artificial Intelligence Lab, University of Arizona, Tucson, Arizona;Artificial Intelligence Lab, University of Arizona, Tucson, Arizona;Health Information Research, National Taiwan University, Taipei, Taiwan

  • Venue:
  • ICSH'13 Proceedings of the 2013 international conference on Smart Health
  • Year:
  • 2013

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Abstract

Ever increasing rates of diabetes and healthcare costs have focused our attention on this chronic disease to provide a health social media system to serve multi-national markets. Our DiabeticLink system has been developed in both the US and Taiwan markets, addressing the needs of patients, caretakers, nurse educators, physicians, pharmaceutical company and researchers alike to provide features that encourage social connection, data sharing and assimilation and educational opportunities. Some important features DiabeticLink offers include diabetic health indicator tracking, electronic health record (EHR) search, social discussion and Q&A forums, health information resources, diabetic medication side effect reporting, healthy eating recipes and restaurant recommendations. We utilize advanced data, text and web mining algorithms and other computational techniques that are relevant to healthcare decision support and cyber-enabled patient empowerment.