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OPTIK: a database for understanding catchment areas to guide mobilization of cancer center assets

An increasingly diversified demographic landscape in rural and urban America warrants the attention of The University of Kansas Cancer Center (KU Cancer Center) researchers, clinicians, outreach staff and administrators as the institution assesses ways to reach its expansive, bi-state catchment area...

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Autores principales: Mudaranthakam, Dinesh Pal, Harlan-Williams, Lisa M, Jensen, Roy A, Kuo, Hanluen, Garimella, Vandita, Chen, Ronald C, Mayo, Matthew S, Krebill, Hope
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7491207/
https://www.ncbi.nlm.nih.gov/pubmed/32719846
http://dx.doi.org/10.1093/database/baaa054
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author Mudaranthakam, Dinesh Pal
Harlan-Williams, Lisa M
Jensen, Roy A
Kuo, Hanluen
Garimella, Vandita
Chen, Ronald C
Mayo, Matthew S
Krebill, Hope
author_facet Mudaranthakam, Dinesh Pal
Harlan-Williams, Lisa M
Jensen, Roy A
Kuo, Hanluen
Garimella, Vandita
Chen, Ronald C
Mayo, Matthew S
Krebill, Hope
author_sort Mudaranthakam, Dinesh Pal
collection PubMed
description An increasingly diversified demographic landscape in rural and urban America warrants the attention of The University of Kansas Cancer Center (KU Cancer Center) researchers, clinicians, outreach staff and administrators as the institution assesses ways to reach its expansive, bi-state catchment area. Within the counties of the KU Cancer Center catchment area, patient level and public health data are available and categorized by varying geographic regional boundaries. Multiple data sources and different data collection processes complicate summarizing catchment area data. A curated data warehouse that retrieves and structures the data, with a common denominator, can support meaningful use of the data in a standard and consistent format. The KU Cancer Center built a data warehouse to Organize and Prioritize Trends to Inform KU Cancer Center (OPTIK), which functions to streamline the process of synthesizing data regarding Kansas and Missouri demographics, cancer risk factors and incidence and mortality rates. OPTIK standardizes these diverse data sources to enable analyses of the cancer burden at local, regional and national levels while upholding a strict standard of patient privacy. The OPTIK database enables researchers to use available data and create heat maps and other visualizations to aid in funding proposals, presentations and research activities. Furthermore, using knowledge provided by OPTIK, the KU Cancer Center is able to prioritize action items for research and outreach and more effectively communicate the impact of those efforts.
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spelling pubmed-74912072020-09-21 OPTIK: a database for understanding catchment areas to guide mobilization of cancer center assets Mudaranthakam, Dinesh Pal Harlan-Williams, Lisa M Jensen, Roy A Kuo, Hanluen Garimella, Vandita Chen, Ronald C Mayo, Matthew S Krebill, Hope Database (Oxford) Original Article An increasingly diversified demographic landscape in rural and urban America warrants the attention of The University of Kansas Cancer Center (KU Cancer Center) researchers, clinicians, outreach staff and administrators as the institution assesses ways to reach its expansive, bi-state catchment area. Within the counties of the KU Cancer Center catchment area, patient level and public health data are available and categorized by varying geographic regional boundaries. Multiple data sources and different data collection processes complicate summarizing catchment area data. A curated data warehouse that retrieves and structures the data, with a common denominator, can support meaningful use of the data in a standard and consistent format. The KU Cancer Center built a data warehouse to Organize and Prioritize Trends to Inform KU Cancer Center (OPTIK), which functions to streamline the process of synthesizing data regarding Kansas and Missouri demographics, cancer risk factors and incidence and mortality rates. OPTIK standardizes these diverse data sources to enable analyses of the cancer burden at local, regional and national levels while upholding a strict standard of patient privacy. The OPTIK database enables researchers to use available data and create heat maps and other visualizations to aid in funding proposals, presentations and research activities. Furthermore, using knowledge provided by OPTIK, the KU Cancer Center is able to prioritize action items for research and outreach and more effectively communicate the impact of those efforts. Oxford University Press 2020-07-28 /pmc/articles/PMC7491207/ /pubmed/32719846 http://dx.doi.org/10.1093/database/baaa054 Text en © The Author(s) 2020. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Mudaranthakam, Dinesh Pal
Harlan-Williams, Lisa M
Jensen, Roy A
Kuo, Hanluen
Garimella, Vandita
Chen, Ronald C
Mayo, Matthew S
Krebill, Hope
OPTIK: a database for understanding catchment areas to guide mobilization of cancer center assets
title OPTIK: a database for understanding catchment areas to guide mobilization of cancer center assets
title_full OPTIK: a database for understanding catchment areas to guide mobilization of cancer center assets
title_fullStr OPTIK: a database for understanding catchment areas to guide mobilization of cancer center assets
title_full_unstemmed OPTIK: a database for understanding catchment areas to guide mobilization of cancer center assets
title_short OPTIK: a database for understanding catchment areas to guide mobilization of cancer center assets
title_sort optik: a database for understanding catchment areas to guide mobilization of cancer center assets
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7491207/
https://www.ncbi.nlm.nih.gov/pubmed/32719846
http://dx.doi.org/10.1093/database/baaa054
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