Data-driven pill monitoring

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

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

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)1213-1220
Number of pages8
JournalProcedia Computer Science
Volume1
Issue number1
DOIs
StatePublished - 2010

Funding

FundersFunder number
Directorate for Computer and Information Science and Engineering0324876, 0719626

    Keywords

    • 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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