Data-driven pill monitoring

Craig C. Douglas, Li Deng, Gundolf Haase, Hyoseop Lee, Robert A. Lodder

Research output: Contribution to journalArticlepeer-review


We describe a viable dynamic system to guarantee that pills delivered to a patient are what were prescribed, of sufficient quality to be effective, and within the correct time frame. A handheld device that identifies pills is also described that is suitable for use by health care providers. Issues of patient privacy, network security, and interacting with multiple databases are inherent to the entire process.

Original languageEnglish
Pages (from-to)1251-1258
Number of pages8
JournalProcedia Computer Science
Issue number1
StatePublished - 2010

Bibliographical note

Funding Information:
This research was supported in part by NSF grants CNS-0719626 and ACI-0324876(and their successors) and Award No. KUS-C1-016-04, made by King Abdullah University of Science and Technology(KAUST).


  • Accoustic resonance spectroscopy
  • Cyber-physical systems
  • Dynamic data-driven application systems
  • ISP
  • Integrated sensing and processing

ASJC Scopus subject areas

  • General Computer Science


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