Every provider gets a 0 to 100 acquisition score built from six weighted factors, computed only from verifiable government data. Here is the entire model: the factors, the exact weights and thresholds, the penalties, and what we deliberately leave out.
Listed by weight. Each factor scores 0 to 100 on its own scale, then the weighted sum composes the final score.
Is this a practice one decision-maker can sell?
Sole-proprietor status from the NPI registry, our practice-identity resolution, and the co-located provider count at the address. A true solo independent at its own location scores 100; a provider inside a known group scores 10. A DSO-affiliation flag is a hard demotion to 5, below every independent, because a DSO-owned chair is not an acquirable practice no matter how empty its practice-name field looks.
How close is the owner to a transition?
Estimated age, from the best signal each state publishes: graduation year where boards disclose it, age bands where they publish those, first-license date as a tenure proxy elsewhere. Age 65+ scores 100, 60-64 scores 80, 55-59 scores 50. Where a state publishes no age signal at all, a Retired or Inactive license status stands in directly. And when three or more users confirm a provider has actually retired, the factor maxes out regardless of the estimate.
How established is the practice?
Years in practice from the same per-state signal ladder, with NPI enumeration date as the lowest-confidence fallback. More than 30 years scores 100, stepping down to 20 for under five years. Established practices have the patient base and equipment footprint acquirers pay for.
How complex would the deal be?
Co-located provider count at the practice address. A solo or two-provider office scores 100, small groups 70, medium groups 40, large locations 10. Fewer partners means fewer signatures.
Is this a healthy, operating practice?
The normalized license bucket (every state's vocabulary mapped to one scale): Active 100, Retired 60 (confirmed transitioning), Inactive 50, Expired 40, Pending 30, board-disciplined 10, Deceased 0. Unknown stays neutral at 20.
Is there disciplinary risk attached?
Binary: any state-board disciplinary action on file scores 0, a clean record scores 100. Discipline history complicates credentialing, financing, and goodwill transfer.
score = round(S1×0.25 + S2×0.15 + S3×0.20 + S4×0.15 + S5×0.10 + S6×0.15) × penalties
What a model excludes says as much as what it includes. These are exclusions by design, not gaps.
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