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The Role of Data Analytics in Enhancing Decision-Making Processes in Healthcare Management

Author

Listed:
  • Dey
  • Sharma

Abstract

Introduction: The Intro explains how data analytics is becoming increasingly widely used in the healthcare sector and how it can enhance decision-making processes. It also emphasizes the necessity for improved healthcare management decision-making, as healthcare systems are functioning under growing pressure and complexity. Methods: The pertinent literature was completely revised to carry out the goals of this study. It covered different uses of data analytics in healthcare management, such as predictive modeling and risk analysis, along with performance evaluation. Results: The Results tab describes the study's main findings. These include the vital role that data analytics plays in detecting patterns and trends, anticipating results, and maximizing performance in healthcare management. Conclusions: Overall, data artificial intelligence is an upcoming trend in healthcare that will not only improve our healthcare handling but will increase the chances of any probability of being a pandemic. It can revolutionize how healthcare is provided, allowing clinicians to make decisions based on evidence and organizations to foster a data-driven culture.

Suggested Citation

Handle: RePEc:dbk:health:v:1:y:2022:i::p:.93:id:.93
DOI: 10.56294/hl2022.93
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