Return to Work Prediction

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Leading Life & Disability insurance company in the US

Problem Statement

  • Inadequate system to predict accurately the length of disability for a complicated injury or illness because of which the employer is not able to provide a more adequate replacement resource for the job duties

Analytics Led Approach

  • Predictive analytical model using Neural Networks to predict the time taken for return to work on incoming disability claims
  • Given are high level process steps which were  followed
    • Data Pre-processing
    • Logistic Regression Model creation
    • New short-term disability claim
  • Output of the model provides an estimation time for return to work

Business Impact

  • A utility was designed to score the incoming disability claims against the Return – to – work predictive model

Critical Success Factors

  • Helps to manage and determine claims reserving more efficiently
  • Helps to predict the possible duration of a claim and total expected loss and adjustment expenses associated with it
  • Recommend for better nursing care in advance to improve customer centricity and profitability
  • Provide a more adequate replacement resource for the job duties

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