Real-World Evidence Circles

10/13/2026

CMS bundled-payment mandates like CJR-X are not a pilot. They represent a strong trend, and are likely to extend to more procedures and therapeutic areas.

Beginning January 1, 2028, roughly 2,500 hospitals become accountable for a joint-replacement episode that runs from a 180-day pre-admission risk-adjustment lookback, through the acute stay, to 90 days after discharge. Covered hospitals face four challenges:

1. 𝗖𝗼𝘀𝘁 𝗮𝗻𝗱 𝗰𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆. Monitoring every partner across that span (P*P, pre-op clinic, surgeon, SNF, home health) takes systems and IT infrastructure that are expensive to build and difficult to sustain. For many hospitals, building it internally is not realistic.

2. 𝗧𝗶𝗺𝗶𝗻𝗴. Even when the data can be assembled, it arrives too late. CMS's data feed and final reconciliation come after the performance year ends, when no corrective action remains.

3. 𝗢𝘂𝘁𝗰𝗼𝗺𝗲𝘀 𝗽𝗮𝗶𝗿𝘀. CJR-X scores patient-reported outcomes using matched surveys: one within 90 days before surgery, one 300 to 425 days after. Falling short of the minimum defaults that measure to a mediocre score. A low enough Composite Quality Score then forfeits the entire reconciliation payment, however well costs were managed. Separately, hospital-wide completion below 50% cuts the annual Medicare payment update.

4. 𝗙𝗿𝗮𝗴𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻. Each partner is responsible for one piece of pre-admission risk-adjustment lookback and the post-discharge care. No one has visibility into the entire episode while it is still running.

RegenMed's patented Circles Platform addresses this with a single architecture spanning pre-op, hospital, post-acute, and patient surveys. Hospitals see quality-score drivers and survey completion during the episode, at lower cost than attempting to assemble a number of point solutions.

More here: https://www.rgnmed.com/post/circles-platform-for-cjr-x

10/08/2026

What if the biggest barrier to improving outcomes isn’t surgery, but what happens after patients leave the hospital?

Healthcare has invested heavily in advancing implants, surgical robotics, and perioperative pathways. Yet one of the greatest challenges remains remarkably consistent:

𝐊𝐞𝐞𝐩𝐢𝐧𝐠 𝐩𝐚𝐭𝐢𝐞𝐧𝐭𝐬 𝐞𝐧𝐠𝐚𝐠𝐞𝐝 𝐥𝐨𝐧𝐠 𝐞𝐧𝐨𝐮𝐠𝐡 𝐭𝐨 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐥𝐞𝐚𝐫𝐧 𝐟𝐫𝐨𝐦 𝐭𝐡𝐞𝐢𝐫 𝐫𝐞𝐜𝐨𝐯𝐞𝐫𝐲.

In a landmark total joint arthroplasty study published in The Journal of Arthroplasty (Sutton et al., Rothman Institute), institutional compliance rates highlighted this industry-wide struggle:

◾ Preoperative KOOS, JR. survey completion compliance rates reached only 65% across all knee patients.

◾ 1-year postoperative compliance dropped to 46% overall—despite nearly $1M invested in dedicated registry personnel, software, and outreach teams.

See also Morrell et al., reporting from the AJRR registry that "among 1,264,863 outpatient primary TKAs, 70,677 had linked baseline and 1-year PROMs" — 5.6%

In contrast the MOTIV™ TKA Circle — launched this past February and with 362 cases to date and increasing daily — is already demonstrating that compliance thresholds that once seemed unattainable in routine clinical practice are possible when patients are meaningfully engaged in their care. The MOTIV™ data, fully verifiable to ground truth sources, reflects that difference:

◾ 96% pre-op compliance
◾ 86% 6-month post-op compliance (with surveys still actively coming in)
◾ 90% overall protocol compliance (1,036 completed surveys out of 1,154 due across all active intervals)

Combined with a carefully pre-structured Observational Protocol, that level of participation creates something rare in : true visibility into which patients recover quickly, which interventions make a measurable difference, and where real opportunities exist to optimize care pathways.

For example, the MOTIV™ TKA Circle data is showing — again with full provenance — an average 18.33-point increase in KOOS, JR. scores within just six weeks of surgery, representing a roughly 20% improvement from baseline.

The functional improvement is exciting. But showing that high compliance can be sustained across real-world workflows without substantial longitudinal attrition is the foundational breakthrough. Because when patients stay engaged, they don't just provide numbers. They generate the insights that actively improve care for the patients who come next.

Learn more about the ™ project here: https://www.rgnmed.com/motiv

Link to Sutton et al article: https://www.arthroplastyjournal.org/article/S0883-5403(22)00896-8/fulltext

Link to Morrell et al.: https://www.sciencedirect.com/science/article/abs/pii/S0883540326002287

10/07/2026

Most healthcare organizations focus on innovation.

The bigger challenge? Replicating success.

A promising pilot, a breakthrough care model, or a new technology only creates lasting value when it can consistently deliver results across providers, patients, and settings. That's where the real economics begin.

Our latest article explores why replication, not innovation alone, may be the true driver of sustainable healthcare transformation.

What are the biggest barriers to replicating success in healthcare?

https://www.rgnmed.com/post/the-economics-of-replication

Replication sustains scientific trust but goes unfunded and unrewarded. See what incentives could make verification pay.

10/05/2026

Healthcare is generating more data and research than ever before.

For clinical researchers and healthcare leaders, the challenge is no longer finding information. It's turning that information into meaningful evidence quickly enough to support better decisions.

AI is creating new opportunities to accelerate evidence synthesis, reduce manual effort, and help organizations move from questions to insights faster while maintaining scientific rigor.

As healthcare continues to evolve, the conversation is shifting from whether AI should support evidence generation to how it can be integrated responsibly and effectively.

Interested in discussing the future of AI-powered evidence generation and clinical research? Reach out to our team. We'd love to connect.

10/05/2026

Healthcare can't afford to wait months for answers.

As the volume of research continues to grow, AI is helping organizations accelerate evidence synthesis and turn information into action faster.

Explore how Evidence as a Service is reshaping the future of evidence generation and decision-making: https://www.rgnmed.com/post/evidence-as-a-service-compressing-the-synthesis-timeline-through-ai-integration

Accelerate clinical translation with Evidence-as-a-Service. Learn how AI and Circle Datasets compress systematic review timelines with 97% precision.

10/01/2026

Patient trust is becoming a competitive advantage.
As healthcare organizations pursue AI, research, and data-driven improvement, the ability to earn meaningful patient participation may matter more than the technology itself.

Our latest article explores why that creates a powerful Consent Dividend: https://www.rgnmed.com/post/the-consent-dividend

Circle Health Coins reward verified consent with recognition and financial yield, turning participation into equity.

09/30/2026

Healthcare AI has a trust problem, but trust is rarely the root cause.

More often, the challenge is visibility.

When clinicians cannot easily verify how data was sourced, governed, or used, confidence slows. Adoption slows. Collaboration slows.

For healthcare providers, that can mean additional reviews, validation efforts, and delayed implementation of promising technologies.

For clinical researchers, it can create unnecessary barriers to data sharing, reproducibility, and multi-institutional research.

The result is a hidden cost that is rarely measured: the cost of uncertainty.

In our latest article, we explore why transparency should be viewed not only as a compliance requirement or ethical principle, but as a foundation for faster innovation, stronger collaboration, and greater trust across the healthcare ecosystem.

Read the full article:

Circle Datasets replace costly manual oversight with built-in transparency, cutting compliance burden and clinical risk.

09/29/2026

Healthcare leaders are under growing pressure to do more with their data.

AI initiatives, generation, and all depend on access to high-quality clinical data. But many organizations face the same dilemma:

How do you enable data-driven innovation without giving up ownership, governance, or patient privacy?

Our latest white paper explores how RegenMed's federated healthcare data architecture addresses this challenge. Learn more: https://www.rgnmed.com/post/the-circles-platform-federated-healthcare-data-architecture

Federated healthcare data architecture using Zero-Knowledge Proofs to eliminate centralized honeypots while preserving regulatory compliance.

09/24/2026

Every healthcare organization talks about being data-driven.

But what happens when finance, operations, quality, and clinical teams are all working from different versions of the truth? Without a shared understanding of key metrics, even the best analytics can lead to conflicting decisions and missed opportunities.

This article explores why a single source of truth is becoming a strategic imperative for healthcare leaders: https://www.rgnmed.com/post/versioned-truths

09/22/2026

𝗖𝗝𝗥-𝗫 𝗱𝗼𝗲𝘀𝗻'𝘁 𝗷𝘂𝘀𝘁 𝗶𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗲 𝗲𝗽𝗶𝘀𝗼𝗱𝗲-𝗯𝗮𝘀𝗲𝗱 𝗿𝗶𝘀𝗸. 𝗜𝘁 𝗶𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗲𝘀 𝗮 𝘁𝗶𝗺𝗶𝗻𝗴 𝗽𝗿𝗼𝗯𝗹𝗲𝗺.

Starting in 2028, hospitals will be accountable for the total cost and quality of care across a 90-day joint replacement episode.

The challenge is that most organizations won't know they're missing the target until long after the episode has closed.

By then, there's nothing left to improve.

That's why the real CJR-X question isn't reimbursement.

It's visibility.

Can your organization identify risk while patients are still in the episode, or only after financial performance has already been determined?

Our latest white paper explores what hospital leaders should consider now as they prepare for the next era of value-based care.

Learn more: https://www.rgnmed.com/post/circles-platform-for-cjr-x