I’ve watched dozens of health plans launch prospective risk adjustment initiatives over the past five years. Most of them fail within 18 months. Not because prospective is a bad idea, but because organizations make the same three mistakes over and over.
If you’re considering prospective risk adjustment or struggling with an existing program, here’s what’s actually killing your results.
Mistake #1: Trying to Boil the Ocean
The first mistake is scope. Health plans decide they’re going to implement prospective risk adjustment across their entire provider network, for all Medicare Advantage members, starting next quarter.
That’s insane. You’re trying to change clinical workflows, integrate with multiple EHR systems, educate hundreds of providers, and validate that your approach actually works, all at the same time. Even well-resourced organizations can’t pull that off.
The plans that succeed with prospective start ridiculously small. One primary care clinic with 30 providers. Or one specific patient population like diabetics with an A1C above 8. They prove the model works in a controlled environment before scaling.
This lets you work out the kinks. You’ll discover that your pre-visit reports are too long. Providers will tell you the information arrives at the wrong time. Your EHR integration will break in ways you didn’t anticipate. Better to learn these lessons with 30 providers than 300.
Once you’ve got the workflow dialed in and can demonstrate actual results (increased documentation rates, captured HCCs, provider satisfaction), then you scale. Not before.
Mistake #2: Building Technology Instead of Building Relationships
The second mistake is believing that prospective risk adjustment is primarily a technology problem. It’s not. It’s a relationship problem.
You’re asking providers to change how they practice medicine. You’re inserting yourself into the sacred doctor-patient encounter. You’re adding work to their already overwhelming day. No amount of slick technology will overcome provider resistance if they don’t trust you.
The health plans that succeed with prospective invest heavily in provider engagement before they roll out any technology. They sit down with physician leaders and ask: “What would actually be helpful to you during patient visits? What information do you wish you had but don’t? What gets in your way?”
Then they design their prospective intervention to solve provider problems, not just health plan problems. Yes, you want to capture more HCCs. But providers want to close care gaps, avoid missing important diagnoses, and spend less time hunting through fragmented records.
When you frame prospective as “we’re helping you provide better care and get credit for the complexity you’re already managing” instead of “we need you to document more stuff for our revenue,” adoption goes up dramatically.
Mistake #3: Measuring the Wrong Things
The third mistake is tracking vanity metrics instead of outcomes.
Most prospective programs measure how many care gap alerts they generated or how many pre-visit reports they delivered. Those numbers look impressive in board presentations. They’re also meaningless.
What matters is how many conditions got documented with adequate MEAT criteria, how many made it onto claims, and how many will survive a RADV audit. That’s the full funnel from intervention to defensible revenue.
I’ve seen programs that generate thousands of prospective alerts but have single-digit capture rates because providers ignore the alerts or document the conditions poorly. That’s an expensive way to accomplish nothing.
The best prospective programs track conversion at every stage. Of 100 alerts generated, how many did providers act on? Of those actions, how many resulted in proper documentation? Of proper documentation, how many got coded correctly? Of correct codes, how many are audit-defensible?
When you measure this way, you quickly identify where the process breaks down. Maybe providers are acting on alerts but documenting poorly (education problem). Maybe documentation is good but codes aren’t getting submitted (workflow problem). You can’t fix what you don’t measure accurately.
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What Actually Works
So what does a successful prospective risk adjustment program look like?
It starts small with a pilot that proves the model. It’s built on strong provider relationships where physicians see value in the intervention, not just burden. It measures actual outcomes, not activity levels.
It also accepts that prospective is a long game. You’re not going to see dramatic ROI in quarter one. You’re building a capability that compounds over time as providers get better at documentation, your technology improves, and your processes mature.
The organizations that stick with prospective for 18-24 months and do it right see transformational results. Not just higher HCC capture rates, but better documentation across the board, stronger provider relationships, and fundamentally different conversations about risk adjustment.
But you have to survive the implementation period without giving up. That means setting realistic expectations, starting small, focusing on relationships over technology, and measuring what actually matters.
Most health plans fail at prospective because they violate all three of these principles. They try to do too much too fast, they treat it as a technology project, and they measure the wrong things. Then they conclude prospective doesn’t work when really they just did it wrong.
If you’re going to invest in prospective risk adjustment, invest properly. Start small, build relationships, measure outcomes. Or don’t bother, because half measures in prospective are worse than doing nothing at all.
