Data Analytics Xiaoling Huang, Data Analytics Director for Medicaid - - PowerPoint PPT Presentation

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Data Analytics Xiaoling Huang, Data Analytics Director for Medicaid - - PowerPoint PPT Presentation

Data Analytics Xiaoling Huang, Data Analytics Director for Medicaid and CHIP August 2016 Medicaid Overview Medicaid is a jointly funded state-federal program that provides medical coverage to eligible needy persons. 4.1M Programs: Fee for


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Data Analytics

Xiaoling Huang, Data Analytics Director for Medicaid and CHIP August 2016

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Medicaid Overview

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4.1M

Members

Programs:

  • Fee for Service 12%
  • Managed Care 88%
  • STAR 83%
  • STAR+PLUS 15%
  • STAR Health 1%

Budget

$67.9B

(fiscal year 2016-2017)

Medicaid is a jointly funded state-federal program that provides medical coverage to eligible needy persons.

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Our Four Key Goals

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Mission: To proactively support Medicaid/CHIP programs in

making data-driven decisions in improving the health, safety and well-being of Texans

Data Analytics

Improve Health Outcome Strength Contract Management Contain Costs Reinforce Compliance

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Our Mission

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Mission: To proactively support Medicaid/CHIP programs in

making data-driven decisions in improving the health, safety and well-being of Texans

Data Analytics

Improve Health Outcome Strength Contract Management Contain Costs Reinforce Compliance

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How We Do It

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  • Detect trends and identify anomalies
  • Utilization of services
  • Cost of services
  • Adequacy of provider networks
  • Monitor performance
  • Establish performance measurement methodologies
  • Evaluate program performance
  • Provide technical consultation to program areas
  • Enhance data analytics infrastructure and

capacities

  • Increase data analytics maturity and adopt business intelligence

(BI)

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Dashboards

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Dashboards

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Visits Ranked by Diagnosis

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Track Seasonality

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Frequency of Visits

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Follow Correlations

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The Steps taken

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  • Clients
  • Providers
  • Claims/encounters
  • Clinical
  • Case management
  • Financial
  • Compliance
  • Performance
  • Assessment

Data

  • Standardizing
  • Linking
  • Merging
  • Aggregating

Data Quality

  • Descriptive
  • Statistical
  • Predictive
  • Prescriptive

Interpretation

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Questions

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