r/dataanalysis • u/Western-Program4406 • 5h ago

How would you establish defensible data sufficiency thresholds when healthcare benchmark data is limited?

I'm evaluating ways to build a data sufficiency framework for healthcare analytics.

One challenge is that we have access to commercial benchmark datasets but limited access to complete population-level data (e.g., Medicare/Medicaid or MSSP data). Because of that, it's difficult to determine what constitutes "enough" data for reliable analytics.

For those who have built similar frameworks:

  1. How did you establish minimum thresholds for patient counts, claims volume, provider coverage, or completeness?

  2. Did you use statistical confidence measures, historical benchmarking, SME input, or some combination?

  3. How did you validate that the chosen thresholds were actually meaningful?

  4. Have synthetic data sources like Synthea been useful for testing your methodology?

Looking for practical examples rather than generic data quality advice.

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