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ASP-RCM Solutions — Provider-side payer-exposure and receivables-runoff intelligence: a contract-county level Medicare Advantage market-entry/exit and non-renewal tracker (which carrier drops which contract-county, in which plan year, with ANOC notice timing), joined to provider books of business — AR balances by exiting payer contract, payer-mix shift trajectories after each enrollment period, and eligibility re-verification volumes. Mid-size operator (440 employees, ~$36M revenue, Frisco TX) whose distinctive asset is not volume but position: it sits between providers and payers and therefo…
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Provider-side payer-exposure and receivables-runoff intelligence: a contract-county level Medicare Advantage market-entry/exit and non-renewal tracker (which carrier drops which contract-county, in which plan year, with ANOC notice timing), joined to provider books of business — AR balances by exiting payer contract, payer-mix shift trajectories after each enrollment period, and eligibility re-verification volumes
From 4 yearsCoverage Health CareAsset class Equities
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ASP-RCM Solutions — Provider-side payer-exposure and receivables-runoff intelligence: a contract-county level Medicare Advantage market-entry/exit and non-renewal tracker (which carrier drops which contract-county, in which plan year, with ANOC notice timing), joined to provider books of business — AR balances by exiting payer contract, payer-mix shift trajectories after each enrollment period, and eligibility re-verification volumes. Mid-size operator (440 employees, ~$36M revenue, Frisco TX) whose distinctive asset is not volume but position: it sits between providers and payers and therefo…
ASP-RCM Solutions offers (Alternative, Fundamental, Sentiment) — est. contract-county exposure matrices across all 50 states plus DC (the page's own coverage grid enumerates every state) for each MA carrier active in a provider book — realistically tens of thousands of contract-county-plan-year cells per cycle, multiplied by AR records per payer book across the client roster.
Training payer-churn and network-disruption prediction models; provider revenue-at-risk and concentration-risk scoring; forecast models for post-exit AR write-off and collectability; network-adequacy and re-contracting prioritization models; labelling data for carrier-continuation classifiers; backtests for any MA market-entry/exit signal product
The data is with 4 years of history.
Coverage spans US; Health Care Technology; alternative, fundamental, sentiment; equities.
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