TY - GEN
T1 - International Conference on Computational Science, ICCS 2010 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 2021-10-07
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
Y1 - 2010
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/10754/672167
UR - https://linkinghub.elsevier.com/retrieve/pii/S1877050910001365
UR - http://www.scopus.com/inward/record.url?scp=78650281902&partnerID=8YFLogxK
U2 - 10.1016/j.procs.2010.04.135
DO - 10.1016/j.procs.2010.04.135
M3 - Conference contribution
SP - 1207
EP - 1214
BT - Procedia Computer Science
PB - Elsevier BV
ER -