TY - GEN
T1 - Data-driven pill monitoring
AU - Douglas, Craig C.
AU - Deng, Li
AU - Haase, Gundolf
AU - Lee, Hyoseop
AU - Lodder, Robert A.
N1 - KAUST Repository Item: Exported on 2022-07-01
Acknowledged KAUST grant number(s): KUS-C1-016-04
Acknowledgements: 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).
This publication acknowledges KAUST support, but has no KAUST affiliated authors.
PY - 2010/6/1
Y1 - 2010/6/1
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/679555
UR - https://linkinghub.elsevier.com/retrieve/pii/S1877050910001407
UR - http://www.scopus.com/inward/record.url?scp=78650257797&partnerID=8YFLogxK
U2 - 10.1016/j.procs.2010.04.139
DO - 10.1016/j.procs.2010.04.139
M3 - Conference contribution
SP - 1251
EP - 1258
BT - Procedia Computer Science
PB - Elsevier BV
ER -