Smart Access
Predict Payer Access Before Launch, Not After
- Model Payer Behavior Early: Model how payers are likely to cover your therapy before real-world coverage data exists.
- Build Forecasts Leadership Can Defend: Build repeatable, data-backed coverage forecasts that leadership can defend.
- Prioritize the Right Payers First: Prioritize payer outreach with Fast / Moderate / Slow segmentation across 300+ payers and lives covered.
- Powered by 10+ Years of MMIT Intelligence: Built on MMIT's payer coverage intelligence — over a decade of real payer behavior across hundreds of indications and more than 1,000 therapies.
Predict Your Path to Payer Access
Your Launch at a Glance
Understand your expected coverage landscape from day one, with visibility into payer behavior across the lives that matter most.
The Summary Dashboard combines covered lives, analog intelligence, coverage timing, and prior authorization exposure in a single view — all driven by your configured launch profile and weighted by analog similarity scores.
Drill Into Policy Detail. Prioritize With Confidence.
Go beyond the summary to understand exactly how each payer is likely to manage your therapy and which accounts to move on first.
Every payer in the MMIT universe is surfaced with its predicted NDLP status, speed badge, and formulary-level policy detail — giving account teams a filterable prioritization list rather than a static tier.
See the Analogs. Understand the Forecast.
Inspect the historical therapies driving your coverage predictions and configure your launch profile to refine the model.
The Analogue Intelligence view makes the methodology visible — showing which drugs are driving the forecast, what similarity score each carries, and how predicted coverage tracks across channels and time horizons.
Your Launch at a Glance
Understand your expected coverage landscape from day one, with visibility into payer behavior across the lives that matter most.
The Summary Dashboard combines covered lives, analog intelligence, coverage timing, and prior authorization exposure in a single view — all driven by your configured launch profile and weighted by analog similarity scores.
Drill Into Policy Detail. Prioritize With Confidence.
Go beyond the summary to understand exactly how each payer is likely to manage your therapy and which accounts to move on first.
Every payer in the MMIT universe is surfaced with its predicted NDLP status, speed badge, and formulary-level policy detail — giving account teams a filterable prioritization list rather than a static tier.
See the Analogs. Understand the Forecast.
Inspect the historical therapies driving your coverage predictions and configure your launch profile to refine the model.
The Analogue Intelligence view makes the methodology visible — showing which drugs are driving the forecast, what similarity score each carries, and how predicted coverage tracks across channels and time horizons.
What Our Clients Are Saying
"One of the things I've already been talking to my CFO and my manager about is that we're going to need more payer data. I can't rely on a ChatGPT query because I know it's suspect and they're pulling from things, and they make stuff up all the time. I want something that I can trust, and I've trusted before and MMIT has checked that box in the past for me. And it's been easy."
SVP, Payor Growth and Strategy
Small Healthcare IT Company
“This kind of ecosystem visibility is usually really in the weeds but Landscape iQ makes it usable—and helps us ask more compelling questions of payers.”
Director of Market Access, National Accounts
Pharma Company
“ASO lives give our Account Directors a clearer view of where opportunity sits, helping the sales force focus on the right opportunities in their territories — not the distractions.”
Sr. National Rare Disease Director
Pharma Company
“The AI summaries are transformational in helping us understand the ‘why’ behind market shifts. Today, we spend a lot of time figuring that out on our own.”
Regional Account Director
Pharma Company
How We Can Help
Smart Access empowers pharmaceutical launch teams to forecast payer behavior before real-world coverage exists. By combining MMIT’s historical payer intelligence with AI-powered analog identification, Smart Access helps market access, brand, and commercial teams build better launch strategies faster.
Smart Access uses AI similarity modeling to identify the historical therapies most relevant to your planned launch, then translates how payers actually covered those therapies into forward-looking coverage curves and restriction expectations. By drawing on more than a decade of MMIT payer coverage intelligence across hundreds of indications and over a thousand therapies, Smart Access gives market access teams a data-backed starting point.
Smart Access replaces subjective analog selection with a systematic, AI-powered process that surfaces the most relevant historical therapies based on therapeutic area, indication, route of administration, competition level, and other launch parameters. Because the analogs are visible, ranked, and tied directly to MMIT’s payer coverage data, the resulting forecasts are reproducible and explainable.
Smart Access segments 300+ payers by expected speed-to-coverage — Fast (under 3 months), Moderate (3–9 months), and Slow (9+ months) — based on how those payers have historically covered similar therapies. This gives field and account teams a clear, data-backed sequencing of where to concentrate outreach in the critical months after launch, with visibility into lives covered at each tier so resources are deployed where they will have the greatest early impact.
Solutions to Support Your Strategy
Enhance Smart Access with complementary MMIT solutions that expand visibility across the pre-launch access landscape. By pairing predictive coverage modeling with broader payer intelligence, your team moves from isolated assumptions to a confident, evidence-based launch strategy.