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Related Concept Videos

Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
Statgraphics01:10

Statgraphics

Statgraphics is a comprehensive statistical software suite designed for both basic and advanced data analysis. Originating in 1980 at Princeton University under Dr. Neil W. Polhemus, it was one of the pioneering tools for statistical computing on personal computers, with its public release in 1982 marking an early milestone in data science software. Over the years, it has evolved into a robust platform for data science, offering tools for regression analysis, ANOVA, multivariate statistics,...
Application of Differentiation to Business01:29

Application of Differentiation to Business

Calculus offers essential techniques for businesses seeking to optimize pricing strategies and revenue. In this case, a bakery wants to determine the ideal price and daily sales volume to maximize revenue. By modeling how changes in price affect demand and revenue, the bakery can apply calculus to make data-driven decisions.The demand function relates the price per cupcake to the number of cupcakes sold and captures how lower prices increase sales. Based on market data, the demand function can...
Manipulation and Analysis01:21

Manipulation and Analysis

GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
Overview of Microsoft Excel as a Data Analysis Tool01:13

Overview of Microsoft Excel as a Data Analysis Tool

Microsoft Excel is a cornerstone tool for data analysis and statistical operations, offering a wide array of functionalities to manage, analyze, and visualize data efficiently. Recognized for its versatility, Excel facilitates the performance of basic to complex statistical operations, serving as an indispensable asset for analysts, researchers, and students alike. Excel's significance in data analysis emanates from its spreadsheet environment, where data can be organized in rows and columns,...
Levels of Use of a GIS01:29

Levels of Use of a GIS

Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...

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Related Experiment Videos

Effective use of business intelligence.

John Glaser1, John Stone

  • 1Partners HealthCare, Boston, USA. jglaser@partners.org

Healthcare Financial Management : Journal of the Healthcare Financial Management Association
|March 4, 2008
PubMed
Summary

Business intelligence (BI) technology can improve healthcare performance and patient care. Effective BI management involves establishing needs, securing buy-in, creating a vision, implementing governance, and ensuring data quality.

Area of Science:

  • Health Informatics
  • Information Management
  • Healthcare Administration

Background:

  • Business intelligence (BI) technology offers significant potential for enhancing healthcare organizations.
  • Leveraging organizational data through BI can improve financial performance, operational efficiency, and the quality of patient care.

Purpose of the Study:

  • To outline the foundational steps for effective business intelligence management in healthcare settings.
  • To provide a framework for healthcare organizations seeking to implement and optimize BI initiatives.

Main Methods:

  • The study identifies five preliminary steps crucial for successful BI implementation.
  • These steps include defining business needs and value, securing managerial buy-in, developing a comprehensive vision, establishing governance structures, and assigning data quality management roles.

Related Experiment Videos

Main Results:

  • Implementing these five steps is essential for maximizing the benefits of BI in healthcare.
  • A structured approach ensures that BI initiatives align with organizational goals and deliver measurable improvements.

Conclusions:

  • Effective business intelligence management is critical for healthcare organizations aiming to improve performance and patient outcomes.
  • A strategic, phased approach to BI implementation, focusing on governance and data quality, is recommended for success.