Group items tagged predictive - HealthcareMetadata

shared by Malcolm McRoberts on 30 Apr 14 - No Cached

In any big data setup, the first step is to capture lots of digital information, "which there's no shortage of
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The purpose of descriptive analytics is to summarize what happened. Wu estimated that more than 80% of business analytics -- most notably social analytics -- are descriptive.
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In the most general cases of predictive analytics, "you basically take data that you have to predict data you don't have,"
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"Prescriptive analytics is a type of predictive analytics," Wu said. "It's basically when we need to prescribe an action, so the business decision-maker can take this information and act."
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In addition, prescriptive analytics requires a predictive model with two additional components: actionable data and a feedback system that tracks the outcome produced by the action taken.
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shared by Malcolm McRoberts on 03 Jan 14 - No Cached

The challenge is to identify individuals for whom intervention can make a difference and find intervention opportunities at the right time: before adverse health outcomes escalate medical costs.
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Maximizing Care Management Savings through Advanced Total Population Targeting
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PREDICTIVE MODELING FOR ACCURATE POPULATION TARGETING • Advanced Methodology, Focused Models) • Targeted Interventions) • Testing and Validation)
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Predictive modeling can improve the targeting of care management programs by mathematically determining the likelihood of defined outcomes, Healthways uses multiple models to:
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