Remove Data Enablement Remove Insurance Remove Predictive Analytics
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7 famous analytics and AI disasters

CIO Business Intelligence

In 2019, a study published in Science revealed that a healthcare prediction algorithm, used by hospitals and insurance companies throughout the US to identify patients to in need of “high-risk care management” programs, was far less likely to single out Black patients. Healthcare algorithm failed to flag Black patients.

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Improve healthcare services through patient 360: A zero-ETL approach to enable near real-time data analytics

AWS Big Data

Achieving this will also improve general public health through better and more timely interventions, identify health risks through predictive analytics, and accelerate the research and development process.

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The Impact of Healthcare BI Tools on Decision-Making and Patient Care

FineReport

By harnessing the power of healthcare data analysis , organizations can extract valuable insights from complex datasets, ultimately leading to improved healthcare outcomes and operational efficiency. The integration of clinical data analysis tools empowers healthcare providers to leverage predictive analytics for proactive decision-making.

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The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

As such banking, finance, insurance and media are good examples of information-based industries compared to manufacturing, retail, and so on. In our modern data and analytics strategy and operating model, a PM methodology plays a key enabling role in delivering solutions. where performance and data quality is imperative?