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Development and implementation of a clinical and business intelligence system for the Florida health data warehouse.

AlHazme RH, Rana AM, De Lucca M - Online J Public Health Inform (2014)

Bottom Line: The CBI system was successfully implemented and yielded a number of positive outcomes.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.

View Article: PubMed Central - PubMed

Affiliation: Nova Southeastern University College of Osteopathic Medicine, Fort Lauderdale, Florida.

ABSTRACT

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.

No MeSH data available.


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Development and implementation of a clinical and business intelligence system for the Florida health data warehouse.

AlHazme RH, Rana AM, De Lucca M - Online J Public Health Inform (2014)

Sample analytical graph
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4221087&req=5

f5: Sample analytical graph
Bottom Line: The CBI system was successfully implemented and yielded a number of positive outcomes.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.

View Article: PubMed Central - PubMed

Affiliation: Nova Southeastern University College of Osteopathic Medicine, Fort Lauderdale, Florida.

ABSTRACT

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.

No MeSH data available.