Case studies

How McLaren used clinical AI to uncover $11.3M annually

With SmarterPrebill, McLaren was able to review 100% of patient charts to uncover millions annually.
Published on
October 24, 2025
Written by
Stephanie Novak

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Like many hospitals, McLaren had a mature CDI program in place. The health system in Michigan was completing both concurrent and prebill reviews. But with 30,000 data points per patient chart and 156,000+ ICD-10 codes, even the best CDI teams can’t capture every missing or incorrect diagnosis.

With SmarterPrebill, McLaren uncovered $11.3M in realized annual net new revenue. Get the full case study to learn how McLaren:

  • Found a scalable solution capable of fully reviewing inpatient claims
  • Ensured new AI tools were purpose-built, not replacements for the existing team
  • Maximized financial value from clinical AI

Like many hospitals, McLaren had a mature CDI program in place. The health system in Michigan was completing both concurrent and prebill reviews. But with 30,000 data points per patient chart and 156,000+ ICD-10 codes, even the best CDI teams can’t capture every missing or incorrect diagnosis.

With SmarterPrebill, McLaren uncovered $11.3M in realized annual net new revenue. Get the full case study to learn how McLaren:

  • Found a scalable solution capable of fully reviewing inpatient claims
  • Ensured new AI tools were purpose-built, not replacements for the existing team
  • Maximized financial value from clinical AI

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