In the swiftly advancing landscape of healthcare, the integration of AI has come up with reshaping diagnostics, treatment strategies, and overall delivery of patient care. The business intelligence tool can provide a standardized solution to the decision-making process which might be able to change the extrinsic business environment in healthcare. The major aim of this research is to leverage the capabilities of Power BI, integrated with artificial intelligence to explore and enhance the data visualization techniques in healthcare. The target is to transform complex and large healthcare data into interactive, intuitive, and actionable insights. This research is separated into two parts. The opening segment of the research report offers an extensive examination of Power BI, detailing its theoretical underpinnings, distinctive features, procedural workflow, pros and cons, business merits, and the incorporation of artificial intelligence. The subsequent section of this study illustrates the application of Power BI in developing an optimal business intelligence solution tailored to specific scenarios within the healthcare sector. This research will support decision-making processes, improve patient outcomes, and smooth healthcare operations. The research will adopt the pragmatic case as a foundational framework for users of Power BI.

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Advancement of Data Visualization Techniques in Healthcare Using AI and Power BI

  • Priya Rani,
  • Jeevan Kumar,
  • Smita Dash

摘要

In the swiftly advancing landscape of healthcare, the integration of AI has come up with reshaping diagnostics, treatment strategies, and overall delivery of patient care. The business intelligence tool can provide a standardized solution to the decision-making process which might be able to change the extrinsic business environment in healthcare. The major aim of this research is to leverage the capabilities of Power BI, integrated with artificial intelligence to explore and enhance the data visualization techniques in healthcare. The target is to transform complex and large healthcare data into interactive, intuitive, and actionable insights. This research is separated into two parts. The opening segment of the research report offers an extensive examination of Power BI, detailing its theoretical underpinnings, distinctive features, procedural workflow, pros and cons, business merits, and the incorporation of artificial intelligence. The subsequent section of this study illustrates the application of Power BI in developing an optimal business intelligence solution tailored to specific scenarios within the healthcare sector. This research will support decision-making processes, improve patient outcomes, and smooth healthcare operations. The research will adopt the pragmatic case as a foundational framework for users of Power BI.