Mason Roberts

@masonroberts.bsky.social

📈 Healthcare Actuary / Data Scientist @ParameanSolutions 👨‍👩‍👦‍👦 Father - Twin Dad 🧗‍♂️Climber - Trad / Sport 🌄 Boulder, CO - Planning Board Member

Housing is a human right, and it is a win-win in terms of costs to society. I see this in study after study (check Health Affairs articles on housing) and I see it on the ground in my work as an appointed Boulder official.

Pinwheel graphic titled "The Economic Benefits of Affordable Housing" with six segments: Reduced Healthcare Costs (lower expenses for individuals and society), Decreased Hospital Readmissions (fewer patients returning to the hospital), Lower Emergency Department Visits (reduced reliance on emergency services), Durable Impact (long-term positive effects on health and well-being), Addressing Mental Health (support for individuals with depression and anxiety), and Community Planning (integration of housing into health policies). The Reduced Healthcare Costs and Decreased Hospital Readmissions segments are highlighted in blue.

Your payer partners' financial pressure is your contract pressure. CMS is proposing some major shake-ups in MA for risk adjustment and Stars. Here’s a quick summary for both. For providers in VBC deals, this is going to directly impact the terms of your contracts.

Dual-arrow diagram titled "Navigating MA Changes for Contract Success." Left arrow (blue, risk adjustment): Training Data Update — shift in coefficients; Unlinked Chart Reviews — removed from calculation. Right arrow (gray, Star Ratings): Measure Removal — administrative measures dropped; Health Equity Index — reward eliminated; Historical Reward Factor — favors incumbents.

LEAD vs. REACH: What's actually new. No pussyfooting around - let’s get right to it. Benchmarking - This one is pretty huge. No more rebasing. Specialists - LEAD has built-in infrastructure for downstream episode-based risk between ACOs and Preferred Provider specialists (CARA)

Podium-style infographic titled "LEAD Program Innovations" showing three medal placements. First place: Benchmarking — durable shared savings corridor with stable floor and incentive to stay. Second place: Specialists — built-in infrastructure for downstream episode-based risk between ACOs and specialists. Third place: Duals — planning phase for Medicare-Medicaid partnership arrangements with select states.

Patient reported surveys just don’t cut it. -- Response rates are low -- They’re biased towards more privileged patients -- And they’re often gamed (see my last post) So what to do about it?

A balanced scale diagram titled "Balancing Outcomes and Surveys in Value-Based Care," showing Outcomes Measures on the left pan weighted down by Attribution Lag and Risk Adjustment Inadequacy, and Survey-Based Measures on the right pan weighted down by Attribution Ambiguity and Adverse Selection Incentives.

One of the major challenges i see repeatedly in my world is it’s extremely difficult to align incentives with outcomes. Here’s an example from the Medicare Advantage space, the Star ratings.

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“AI won’t take your job. Someone using AI will.” I’m sure you’ve heard this before, but it’s not completely true. What we’re seeing in health care is that reliance on human connection insulates many from mass AI-driven job loss. What’s really happening is a role shift.

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New mandatory model from CMS, Ambulatory Specialty Model, targets Specialists in 25% of CBSAs. I was reading up on this and it’s really MIPS with some tweaks for specialists (a broad list) who treat heart failure or low back pain. Here’s the tweaks and how to know if you’re impacted:

Chart titled "Ambulatory Specialty Model (ASM) Impact." A donut chart shows that 25% of CBSAs (Core-Based Statistical Areas) are targeted by ASM, meaning specialists in those markets face new financial risk and peer benchmarking requirements. A caption reads: "ASM introduces financial risk and peer benchmarking for specialists, potentially driving performance improvements."

Senate Democrats are signaling their priorities for healthcare reform. They’re largely focusing on the ACA marketplace given the large disenrollment and doubling in premiums, but for providers in the value-based contracts there are some important points to watch out for.

Infographic titled "Senate Democrats' Healthcare Reform Agenda" showing a target/bullseye graphic with four labeled arrows pointing toward the center. The four targets are: (1) ACA Marketplace — core focus due to disenrollment and premium increases; (2) Junk Insurance Plans — elimination of short-term and fixed indemnity products; (3) UM Management — increased scrutiny and potential regulations; (4) Big Insurance — potential breakup of large insurance companies.

Continuing on the Vivian Ho fest from yesterday, let's talk about her paper "Nonprofit Hospitals: Profits and Cash Reserves Grow, Charity Care Does Not," Health Affairs, June 2023. Between 2012 and 2019, mean nonprofit hospital operating profits grew from $43M to $58.6M, but

Bar chart titled "Allocation of Hospital Profits to Charity Care and Cash Reserves (2012–2019)" showing the estimated association between a $1 increase in hospital profit and changes in charity care spending versus cash reserves, broken out by hospital type. For charity care, all three groups show near-zero allocation: nonprofit hospitals $0, for-profit hospitals $0.04, and combined $0. For cash reserves, all three groups show allocations well above $1: nonprofit hospitals $1.73, for-profit hospitals $1.92, and combined $1.74. Source: Jenkins & Ho, Health Affairs, June 2023.

What gives me hope is how many are working to improve our health system. Economist Vivian Ho has spent her career studying the factors leading to rising costs. I've been reading through her studies after listing to her interview on @AnArmandaLeg. I found

Line chart titled "Hospital prices outpace insurance and physician costs" showing the Consumer Price Index for three healthcare components from 2006 to 2023, indexed to 100. Hospital services (orange solid line) rises steadily throughout the period, reaching 184 by 2023, an 84% increase. Professional services (gray line) rises modestly to 138, a 38% increase. Health insurance (blue dashed line) tracks near the bottom until 2018, spikes sharply to a peak of 170 in 2022 due to BLS methodology changes, then drops back to 128 by 2023. Source: Kanimian & Ho, Health Affairs Scholar, 2024.

As of January 2025, over 53% of traditional Medicare beneficiaries, more than 14.8 million people, are now in accountable care relationships, the largest annual increase since CMS began tracking this metric.

Infographic titled "Medicare Beneficiaries in Accountable Care" showing two statistics on a dark background: 53% of traditional Medicare beneficiaries — over 14.8 million people — are in accountable care, and 75% of ACOs earned performance payments totaling $4.1 billion. Caption reads: "Medicare beneficiaries are increasingly participating in accountable care, indicating strong progress towards value-based care goals."

741 hospitals are now mandated to participate in CMS TEAM as of January 1, 2026. This means that bundles are no longer optional. By definition, all costs must be managed within a single fixed episode payment. This means you really only have two levers to pull:

Infographic titled 'Achieving Bundled Payment Success' showing three interconnected steps in a circular flow: (1) Precise Implant Management — categorize, benchmark, ensure compliance; (2) Surgeon Engagement — align goals with cost reduction; (3) Early Action — build governance framework now.

VBC contracts are creating a new reinsurance frontier that existing actuarial tools weren't built for. What we see everyday is that pricing reinsurance to match the risk of a VBC contract is a gift that just keeps giving in terms of challenges. Let me give you a sense of the complications:

Mathematical formula showing the Delta Method approximation for the variance of a ratio R = X/Y. The formula expresses Var(R) in two equivalent forms: first using means and variances of X and Y with a covariance term, then equivalently using coefficients of variation (CV) and the correlation ρ between claims X and premium Y. Used to illustrate how MLR variance exceeds claims variance alone when pricing VBC reinsurance.

This week seems to be revolving around hospital systems. My sense is that with the additional CMMI programs and the increases to our uninsured populations, hospital systems are feeling attacked from every angle (and thus the increase in news and posts).

Graphic titled “Hospital Systems Under Pressure” showing multiple interlocking gears around a large cracked central gear. Surrounding labels include: Incentive Misalignment (lack of motivation for VBC adoption), Reimbursement Changes (need to adapt to new payment models), Uninsured Populations (higher costs and reduced revenue), CMMI Programs (increased regulatory burden), Financial Architecture (inaccurate cost modeling and forecasting), and Data Infrastructure (inadequate data for informed decision-making). The cracked central gear symbolizes systemic strain within hospital systems.

CMS has been doubling down on pushing hospital systems into risk with programs like TEAM and AHEAD. Readmissions, SNF quality issues, and poor handoffs and post-acute care costs now directly hit hospital margins.

Dark-background infographic titled “Strategies for Post-Acute Care Risk Sharing.” On the left is a series of concentric circles forming a target graphic, representing layered strategy. On the right, dotted arrows point to five labeled strategies with icons: Preferred Post-Acute Networks (globe icon), Shared Metrics and Reviews (handshake icon), Actionable Predictive Analytics (chart icon), Real-Time Data Visibility (document icon), and Share Post-Acute Care Risk (clock/medical cross icon).

We all know there’s waste in the health system (~$750B annually), and many in my circles are working to reduce it. A recent Becker’s webinar featuring Dr. Mogul Mira (Illumicare/Premier) and Susan Hughes from Ardent Health shared their experience tackling this problem.

Slide titled “Reducing Healthcare Waste.” On the left, text reads “High Healthcare Waste – $750 billion annually” with a cost icon. In the center, a large circle labeled “Stewardship Program.” On the right, text reads “Reduced Healthcare Waste – $97 savings per admission” with a checkmark icon. Along the bottom, four components are listed: provide rules for medications and labs; integrate institution-specific cost data; provide references to peer-reviewed literature; implement context-based alerts.

People don't want AI to replace human touch. They want it to make their life's easier, to remove barriers of access / cost and their work easier. From a business perspective, people want the same thing, but they want it in terms of bottom line and quality of experience / output.

We don’t have a data problem. We have a decision problem. This MIT Press / Harvard Data Science Review article makes a point that quietly explains a lot of frustration in healthcare analytics: Better models don’t automatically lead to better decisions.

Illustration titled “Ineffective Healthcare Analytics due to Decision Disconnect.” A stylized tree represents analytics, with branches above ground and roots below. Four labeled disconnects are shown with dotted lines: Operational Timing (models ignore real-world decision timelines), Decision Context (evidence not tailored to decision-makers), Actionable Insights (analytics explain risk, not impact of action), and Audience Disconnect (analytics built for analysts, not decision-makers). The visual emphasizes misalignment between analytics and real-world decisions.

A new study confirms a familiar pattern (but with commercial data): Primary care intensity matters most for medium- and high-risk patients, and the relationship is nonlinear. There’s a clear inflection point where additional primary care stops producing savings and can even increase total cost.

Illustrated process flow titled “From Risk Identification to Cost Alignment.” Four purple plant pots appear left to right, connected by dashed arcs. The first pot, labeled “Untargeted Primary Care,” shows a hand scattering seeds with the caption “Over-investment dilutes ROI.” The second pot, “Risk Stratification,” shows a watering can pouring water, labeled “Necessary front door for care.” The third pot, “Downstream Decisions,” shows small leaves growing, labeled “Referrals, site of care, procedures.” The final pot, “Aligned Care Delivery,” shows a healthy flowering plant, labeled “Next cost frontier for ROI.” The visual conveys progression from unfocused primary care investment to aligned, cost-effective care delivery.

One of the most common challenges we see in healthcare analytics: “We don’t have enough historical data to run a clean study. What do we do?” Recently, we ran into this in a pricing engagement. The client’s internal experience wasn’t deep enough to support a traditional trend analysis.

Graphic with dark background showing a bridge connecting “Data Scarcity” on the left to “Credible Analytics” on the right. The left side includes a dotted data icon and the text “Insufficient historical data hinders analysis.” The right side shows a bar chart icon and the text “Transparent, reproducible, and defensible models inform decisions.” Above the bridge is the headline “Healthcare analytics overcomes data limitations through defensible assumptions,” with a dashed arc illustrating the connection between limited data and credible analytics.

I enjoyed this paper from JAMA Health Forum that looks at how physician payment incentives are playing out globally. A few fun (and unsurprising) facts from across countries: 1) Pay-for-performance programs are now common in Europe, the UK, Australia, and parts of Asia, not just the U.S.

World map highlighting countries with physician pay-for-performance or incentive initiatives. The United States is darkest (about 30 initiatives). Several European countries and the United Kingdom show multiple initiatives, while China, Brazil, and a few other countries show one initiative each. Most countries are shaded gray, indicating no identified initiatives.

Happy Advanced Notice week to those that celebrate (a week late)! This year’s gift was… subtle. From a policy perspective, the 2027 Medicare Advantage Advance Notice signals stability. From a value-based care perspective, it signals opportunity.

Dark background slide titled ‘Unveiling MA Plans’ Needs from VBC Providers.’ On the left, an icon labeled ‘MA Plans’ Needs’ points toward a central gray triangular prism. From the prism, four arrows extend to the right, each pointing to an icon and label: ‘Predictable Medical Cost,’ ‘Early Risk Identification,’ ‘Operational Control,’ and ‘Fewer Surprises.’ The graphic illustrates how MA plans’ core needs translate into specific capabilities expected from value-based care providers.

Over the past few months, our team has been formalizing how we use AI in actuarial and analytics work and one thing it painfully clear: AI absolutely boosts productivity, but only when it’s actively managed and governed.

Dark-themed infographic titled ‘AI Governance for Actuarial Success.’ A circular framework surrounds the center text ‘Implement AI Governance.’ Four sections are labeled: ‘Respect AI Limits – Dangerous outside capability frontier,’ ‘Prioritize Verification – First drafts are cheap,’ ‘Define AI Use Cases – Brainstorming ≠ reserving,’ and ‘Invest in Talent – Talent development matters more.’ At the bottom, a horizontal arrow shows a progression from ‘Unmanaged AI Use – Degraded judgment, poor quality’ on the left to ‘Managed AI Use – Boosted productivity, improved quality’ on the right. Icons represent each section, emphasizing the transition from risky to well-governed AI use.

Highlights from this week’s edition of The Monitor: 💊 Have FDA decisions about the abortion pill consistently followed scientific evidence? 🤖 Google’s removal of some AI-generated summaries for search results about health topics. Read and subscribe: https://on.kff.org/4a6fn2W

Abortion Pill Safety Decisions by FDA Were Science-Based, New JAMA Study Finds — The Monitor | KFF

A new study found the FDA’s abortion pill decisions followed scientific evidence, as misleading claims about the drug’s safety continue to shape public understanding. And Google removed some health AI...

on.kff.org