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HMS, HAG EQ-Bank 058 MC

A regional hospital is reviewing patient records, genetic information and lifestyle data. Analysts use this information to identify patients at high risk of diabetes and implement early intervention programs.

Which of the following best explains how this use of big data reduces healthcare spending?

  1. It lowers costs by avoiding expensive late-stage complications of disease
  2. It reduces the number of health records stored in hospital systems
  3. It increases the ability of emergency departments to facilitate early intervention
  4. It prevents the need for training staff in chronic disease management
Show Answers Only

\(A\)

Show Worked Solution
  • A is correct: By identifying at-risk patients and enabling early intervention, big data reduces the likelihood of costly late-stage complications such as dialysis or amputations, lowering overall healthcare spending.

Other options:

  • B is incorrect: Reducing the number of stored health records does not significantly impact spending and is not the purpose of big data analysis.
  • C is incorrect: While emergency departments may respond quickly, their primary role is for acute care in emergencies, not preventive care.
  • D is incorrect: Training staff remains essential. Big data supports decision-making but does not replace professional education.

Filed Under: Influence of Big Data Tagged With: Band 5, smc-5487-40-Spending

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