Using machine learning to pinpoint bad debt and recover millions

Debt Risk Advisor Case Study

Cover

A large hospital system that specializes in cancer treatment and research was suffering from unpaid patient accounts, resulting in millions of dollars of unpaid bills.

The hospital system sought a way to identify high-risk patient accounts to help patients avoid reaching the “bad debt” stage and enable the hospital system to recover their payments.

Learn more about how the hospital system used a cognitive app powered by machine learning to:

  • Correctly predict 92% of the potential high value bad debt accounts
  • Recover 10%-12% of revenue
  • Save potentially over $8 million a year
Vendor:
Cognitive Scale
Posted:
30 Jan 2018
Published:
30 Jan 2018
Format:
PDF
Length:
2 Page(s)
Type:
White Paper
Language:
English
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