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Keith D Moore¹, Katherine Eyestone, Dean C Coddington

¹McManis Consulting, Denver, USA. kmoore@mcmanisconsulting.com

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Summary

This summary is machine-generated.

Big data, characterized by vast, real-time information, is increasingly used in retail to understand customer behavior. Leading healthcare organizations are exploring its adoption to meet value-based healthcare demands.

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Area of Science:

Health Informatics
Data Science
Business Analytics

Background:

Big data, defined by its volume, velocity, and variety, is transforming industries like retail for customer insights.
The healthcare industry faces increasing pressure to adopt data-driven strategies for value-based care.
Understanding the current adoption landscape of big data in healthcare is crucial.

Purpose of the Study:

To assess the current adoption status of big data technologies within leading healthcare organizations.
To identify how big data can address the information needs of value-based healthcare.
To provide insights into the challenges and opportunities for big data implementation in healthcare.

Main Methods:

Qualitative research methodology.
Conversations and interviews with executives from prominent healthcare organizations.
Analysis of industry trends and adoption patterns.

Main Results:

Healthcare organizations are in the early stages of big data adoption compared to other industries.
Key drivers for adoption include improving patient outcomes and operational efficiency.
Significant challenges remain, including data integration, privacy concerns, and workforce expertise.

Conclusions:

Healthcare's adoption of big data is critical for the success of value-based care initiatives.
Strategic implementation and overcoming existing barriers are necessary for realizing the full potential of big data in healthcare.
Further research is needed to explore specific big data applications and their impact on healthcare outcomes.