Business is poker. You never have all the information, but you still have to make decisions.

    When my partner and I started playing poker during work breaks, the parallels between negotiations with payers and poker became impossible to ignore. It became a model for how we think about strategy, risk, and decision-making under uncertainty.

    In poker, even pocket aces, the best starting hand, don't guarantee a win. You can lose any single hand to bad luck. But because their expected value (EV) is so high, the rational move is always to play them. Over hundreds or thousands of hands, the player who consistently makes +EV decisions ends up ahead.

    The Same Dynamics in Healthcare Reimbursement

    At MedRes, we see the same dynamics every day in healthcare reimbursement. Physicians and RCM companies are constantly making decisions with incomplete information:

    Will this payer deny the claim?

    Will the patient's plan fall under the No Surprises Act (NSA)?

    How will an arbitrator evaluate the Qualifying Payment Amount (QPA)?

    Is this case worth escalating through IDR or should we settle during negotiation?

    Each of these moments mirrors a poker decision: imperfect information, asymmetric risk, and a need for clear, probabilistic thinking.

    Expected Value in the Real World

    When fighting enough disputes, over time, luck stops mattering. The variance evens out, and the math wins.

    Across hundreds of disputes, we've found that our data-driven approach delivers consistent results:

    90%+
    Our IDR win rate across specialties
    Multiples
    Awards above in-network rates

    These results are the outcome of systematically choosing the higher-EV path in every case.

    How Game Theory Improves Outcomes

    Game theory teaches that rational players don't chase wins, they optimize for expected outcomes over time. The same holds true in dealing with insurance.

    Payers often rely on information asymmetry and provider fatigue to minimize payouts. But by bringing data, process automation, and legal expertise to the table, we shift that balance. Our platform evaluates disputes based on CPT code value, documentation strength, payer behavior, and precedent all before a case is filed.

    "We don't need to win every arbitration to be successful. We just need to keep playing the hands that have a measurable statistical edge, and play them well."

    That means fewer wasted "hands", fewer emotional bets, and more strategic wins.

    Playing the Long Game

    Physicians often view payer interactions as zero-sum battles, but the truth is closer to a repeated game. Every claim, appeal, and IDR submission is another iteration in which patterns, incentives, and probabilities start to reveal themselves.

    When viewed through that lens, success becomes predictable. Just as professional poker players don't fear short-term losses, providers who understand the expected value of fair reimbursement stop worrying about the randomness of individual payer decisions.

    With enough volume and the right methodology, math beats luck.

    The Takeaway

    The next time you're staring at a denial or an underpayment, ask yourself: What's the expected value of playing this hand?

    At MedRes, that's how we think about every case we file. We know not every dispute will hit, but over hundreds of filings, our strategy wins and wins big.

    "Dealing with insurance isn't about emotion or luck. It's game theory applied to revenue recovery. And once you understand that, every denial and underpayment becomes an opportunity to play smarter."

    So maybe the next time you're off the clock, grab a deck of cards. Poker won't just sharpen your game it might just help you rethink how you deal with payers.

    Next steps

    Turn the analysis into a recovery path.

    Related reading