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Development and Implementation of a Clinical and Business Intelligence System for the Florida Health Data Warehouse

OBJECTIVE: To develop and implement a Clinical and Business Intelligence (CBI) system for the Florida Health Data Warehouse (FHDW) in order to bridge the gap between Florida’s healthcare stakeholders and the health data archived in FHWD. MATERIALS AND METHODS: A gap analysis study has been conducted...

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Autores principales: AlHazme, Raed H., Rana, Arif M., De Lucca, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: University of Illinois at Chicago Library 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4221087/
https://www.ncbi.nlm.nih.gov/pubmed/25379128
http://dx.doi.org/10.5210/ojphi.v6i2.5249
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author AlHazme, Raed H.
Rana, Arif M.
De Lucca, Michael
author_facet AlHazme, Raed H.
Rana, Arif M.
De Lucca, Michael
author_sort AlHazme, Raed H.
collection PubMed
description OBJECTIVE: To develop and implement a Clinical and Business Intelligence (CBI) system for the Florida Health Data Warehouse (FHDW) in order to bridge the gap between Florida’s healthcare stakeholders and the health data archived in FHWD. MATERIALS AND METHODS: A gap analysis study has been conducted to evaluate the technological divide between the relevant users and FHWD health data, which is maintained by the Broward Regional Health Planning Council (BRHPC). The study revealed a gap between the health care data and the decision makers that utilize the FHDW data. To bridge the gap, a CBI system was proposed, developed and implemented by BRHPC as a viable solution to address this issue, using the System Development Life Cycle methodology. RESULTS: The CBI system was successfully implemented and yielded a number of positive outcomes. In addition to significantly shortening the time required to analyze the health data for decision-making processes, the solution also provided end-users with the ability to automatically track public health parameters. DISCUSSION: A large amount of data is collected and stored by various health care organizations at the local, state, and national levels. If utilized properly, such data can go a long way in optimizing health care services. CBI systems provide health care organizations with valuable insights for improving patient care, tracking trends for medical research, and for controlling costs. CONCLUSION: The CBI system has been found quite effective in bridging the gap between Florida’s healthcare stake holders and FHDW health data. Consequently, the solution has improved in the planning and coordination of health care services for the state of Florida.
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spelling pubmed-42210872014-11-06 Development and Implementation of a Clinical and Business Intelligence System for the Florida Health Data Warehouse AlHazme, Raed H. Rana, Arif M. De Lucca, Michael Online J Public Health Inform Research Article OBJECTIVE: To develop and implement a Clinical and Business Intelligence (CBI) system for the Florida Health Data Warehouse (FHDW) in order to bridge the gap between Florida’s healthcare stakeholders and the health data archived in FHWD. MATERIALS AND METHODS: A gap analysis study has been conducted to evaluate the technological divide between the relevant users and FHWD health data, which is maintained by the Broward Regional Health Planning Council (BRHPC). The study revealed a gap between the health care data and the decision makers that utilize the FHDW data. To bridge the gap, a CBI system was proposed, developed and implemented by BRHPC as a viable solution to address this issue, using the System Development Life Cycle methodology. RESULTS: The CBI system was successfully implemented and yielded a number of positive outcomes. In addition to significantly shortening the time required to analyze the health data for decision-making processes, the solution also provided end-users with the ability to automatically track public health parameters. DISCUSSION: A large amount of data is collected and stored by various health care organizations at the local, state, and national levels. If utilized properly, such data can go a long way in optimizing health care services. CBI systems provide health care organizations with valuable insights for improving patient care, tracking trends for medical research, and for controlling costs. CONCLUSION: The CBI system has been found quite effective in bridging the gap between Florida’s healthcare stake holders and FHDW health data. Consequently, the solution has improved in the planning and coordination of health care services for the state of Florida. University of Illinois at Chicago Library 2014-10-16 /pmc/articles/PMC4221087/ /pubmed/25379128 http://dx.doi.org/10.5210/ojphi.v6i2.5249 Text en This is an Open Access article. Authors own copyright of their articles appearing in the Online Journal of Public Health Informatics. Readers may copy articles without permission of the copyright owner(s), as long as the author and OJPHI are acknowledged in the copy and the copy is used for educational, not-for-profit purposes.
spellingShingle Research Article
AlHazme, Raed H.
Rana, Arif M.
De Lucca, Michael
Development and Implementation of a Clinical and Business Intelligence System for the Florida Health Data Warehouse
title Development and Implementation of a Clinical and Business Intelligence System for the Florida Health Data Warehouse
title_full Development and Implementation of a Clinical and Business Intelligence System for the Florida Health Data Warehouse
title_fullStr Development and Implementation of a Clinical and Business Intelligence System for the Florida Health Data Warehouse
title_full_unstemmed Development and Implementation of a Clinical and Business Intelligence System for the Florida Health Data Warehouse
title_short Development and Implementation of a Clinical and Business Intelligence System for the Florida Health Data Warehouse
title_sort development and implementation of a clinical and business intelligence system for the florida health data warehouse
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4221087/
https://www.ncbi.nlm.nih.gov/pubmed/25379128
http://dx.doi.org/10.5210/ojphi.v6i2.5249
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