GHICL uses AI to make up for limited DIM resources and maximize its revenue

With complex PMSI rules and decentralized coding, the challenge is to make sure all activity is fully valued, even though the DIM has limited capacity.

€2,400

average revaluation per stay

€960K

in projected annual revaluations

60%

validation rate by the DIM team

The context

GHICL, a leading hospital group in the Hauts-de-France region, records more than 95,000 admissions a year and has more than 900 acute care (MCO) beds across 2 sites: Saint-Philibert in Lomme and Saint-Vincent-de-Paul in Lille. With complex PMSI rules and decentralized coding, the challenge is to make sure all activity is fully valued, even though the Medical Information Department (DIM) has limited capacity.

The solution

Parallel’s AI agents focused on 3 tasks:

  1. Identify undervalued stays and make sure activity-based revenue is valued accurately
  2. Extend the analysis beyond the “priority” stays usually reviewed, without overloading the DIM or the IT department
  3. Provide solid traceability (justifications and excerpts from the record) to make DIM validation easier

Results

  • €2,400 average revaluation per stay
  • €960,000 in projected annual revaluations
  • 60% validation rate by the DIM team

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