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This study clarifies large-scale data in healthcare, defining its characteristics and benefits for disease prediction and cost reduction. It emphasizes managing vast, heterogeneous health information for better patient outcomes.

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Area of Science:

  • Health Informatics
  • Data Science
  • Healthcare Management

Background:

  • The term "large-scale data" in healthcare lacks consistent definition, hindering its effective application.
  • Managing and analyzing extensive, heterogeneous health datasets presents significant challenges.
  • Understanding the attributes, antecedents, and consequences of large-scale data is crucial for its optimal use.

Purpose of the Study:

  • To conceptually analyze "large-scale data" within the healthcare domain.
  • To enhance clarity and establish a standardized understanding of large-scale data in medical literature.
  • To identify key attributes, antecedents, and consequences associated with large-scale data in healthcare.

Main Methods:

  • Thematic analysis was employed to systematically review and synthesize existing literature.
  • Concept analysis was used to deconstruct and define "large-scale data" in a healthcare context.
  • The study focused on recognizing the defining characteristics of large-scale data.

Main Results:

  • Large-scale data is characterized by high volume, velocity, variety, and veracity, representing a vast and heterogeneous data landscape.
  • Analysis of large-scale data facilitates early prevention of chronic diseases through predictive modeling.
  • Effective large-scale data utilization can reduce healthcare costs and minimize unnecessary hospital admissions and readmissions.

Conclusions:

  • A clear conceptualization of large-scale data is essential for advancing its application in healthcare.
  • Large-scale data analysis offers significant potential for improving preventative care and optimizing healthcare resource allocation.
  • Further research should focus on developing robust frameworks for managing and leveraging large-scale health data.