International Conference on Computational Science, ICCS 2010 Data-Driven Pill Monitoring

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

doi:10.1016/j.procs.2010.04.135

International Conference on Computational Science, ICCS 2010 Data-Driven Pill Monitoring

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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 language	English (US)
Title of host publication	Procedia Computer Science
Publisher	Elsevier BV
Pages	1207-1214
Number of pages	8
DOIs	https://doi.org/10.1016/j.procs.2010.04.135
State	Published - 2010
Externally published	Yes

Bibliographical note

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.

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10.1016/j.procs.2010.04.135

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@inproceedings{039d3aeaa4af4d05af3fbf2949e0d616,

title = "International Conference on Computational Science, ICCS 2010 Data-Driven Pill Monitoring",

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.",

author = "Douglas, {Craig C.} and Li Deng and Gundolf Haase and Hyoseop Lee and Lodder, {Robert A.}",

note = "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.",

year = "2010",

doi = "10.1016/j.procs.2010.04.135",

language = "English (US)",

pages = "1207--1214",

booktitle = "Procedia Computer Science",

publisher = "Elsevier BV",

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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 -

International Conference on Computational Science, ICCS 2010 Data-Driven Pill Monitoring

Abstract

Bibliographical note

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