Orchestrate care journeys, automate workflows, and optimize performance with AI and aligned economics that make healthcare work.
Financial, operational, and clinical results—delivered through smarter strategy and tech-enabled care.
Our partnership with Pearl Health has deepened our tech enablement capabilities, which allows our network of clinicians to reach a new plateau for delivering quality patient care.”
As Medicare and other healthcare payers shift payment models from traditional fee-for-service to value-based care, it is imperative that we gain experience in this space. We believe this collaboration with Pearl Health will help us provide high quality care to our patients at lower cost.”
Pearl Health’s technology platform and services will enable us to better identify and manage the needs of our high-risk and rising-risk patients, improve our quality performance, and optimize PCPs’ revenue potential.”
We have long focused on whole-person health through innovation and community partnerships. We’re grateful to have found a partner who shares the same philosophy and supports our efforts to improve health outcomes, patient satisfaction and overall care coordination.”
As we look to the next decade of innovating and improving healthcare, I am thrilled to partner with Pearl to equip providers in our network with cutting-edge technology and data insights that will enable better patient care.”
With Pearl’s advanced predictive technology, primary care providers in our network will gain access to data and insights that empower them to proactively focus on these ACO patients who need attention most.”
Our alliance with Pearl Health will enhance the knowledge and capabilities of our primary care providers, enabling them to adopt a more dynamic approach in their interactions with ACO patients.”
Under the new Pearl model, we’ve been able to utilize care teams more effectively, and we get credit for all of the activities that we do. It's been able to free up time for some of our providers, so we don't necessarily have to see or take care of routine tasks.”
[Our] partnership with Pearl will be quite beneficial to my patients in terms of improving overall health outcomes, reducing costs, and also helping the practice to grow — in terms of exposure, in terms of letting people know what we do as a practice.”
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This post explores how healthcare is shifting from EMR-centered truth to patient-generated signals, where patient-authored narratives become the primary source of insight—validated by clinical and claims data—to enable more timely, human, and actionable care built on trust and consent.
Pearl Health shares five key lessons from managing care for 600,000 Medicare beneficiaries across 43 states: value-based care success requires localized execution, network-wide alignment beyond primary care, data-driven prioritization, and AI-powered automation to scale personalized interventions nationwide.
Pearl Health's forecasting model improves on the industry standard by applying conditional mean reversion at the practice level — accounting for panel size and starting MLR — reducing forecast error by 63 basis points over naive trend-forward approaches.
Pearl Health's engineering team evolved from experimenting with multiple AI tools to standardizing on Claude Code, achieving a 96% code suggestion acceptance rate. They use AI across coding, architecture, and documentation, with plans to expand into parallel agents and non-engineer-submitted PRs.
Healthcare fraud is rapidly escalating, costing billions and harming patients. Pearl Health and other ACOs have detected major schemes—like catheter and wound care fraud—early through data analytics, advocating for faster CMS action and systemic reforms to protect Medicare and providers.
Health systems face shrinking Medicare-driven margins and operating models built for volume, not chronic care. The article argues AI can enable scalable, prevention-focused value-based care by improving risk identification, prioritizing interventions, expanding clinical capacity, and integrating workflows to align financial sustainability with better outcomes.
By 2030, AI will guide 20–30% of U.S. healthcare spending—not as a major cost itself, but as the decision-making layer behind administration, clinical pathways, utilization management, and pharmacy optimization. This shift will be especially critical for Medicare sustainability.
The post argues that outdated, fragmented POLST systems prevent timely access to patients’ end-of-life wishes, leading to unwanted care and costs, and makes the case for a secure, national, cloud-based registry to honor patient autonomy across state lines.
Pearl Health’s webinar argues specialists must be integrated into value-based care, since they drive most costs. Episode-based models, attribution challenges, and post-acute savings fall short; progress requires timely data, better benefit design, incentives, and voluntary specialist engagement.
A practical reflection on three years as Chief of Staff: build trust through proximity, transparency, and reliability; think like your CEO; stay organized, adaptable, high-energy, people-first, and embrace the role’s ambiguity, privilege, and impact.
Early projections for LEAD may look precise, but critical structural details remain unresolved. Until those mechanics are clear, confident underwriting forecasts should be treated with healthy skepticism.
Pearl’s AI predicts post-discharge risk beyond delayed ADT alerts by learning from historical patient patterns. Clients using the platform reduced readmissions 17%, identifying high-risk patients up to four times more effectively without added false positives.
CMS’s new LEAD Model will replace ACO REACH in 2027, offering a 10-year value-based care framework with stable benchmarks, new risk tracks, targeted populations, and innovations, while key technical details await the 2026 RFA.
Healthcare isn’t temporarily changing—it permanently operates in change. “Change fatigue” stems from unclear priorities and execution, not volume. Organizations that absorb uncertainty, translate strategy into action, and design for adaptation can sustain teams amid constant Medicare evolution.
Healthcare costs are highly concentrated among a small group of patients, yet high-cost trajectories are often predictable. Precision AI plus accountable care can identify risk early, enabling proactive, lower-cost interventions that prevent costly crises and improve outcomes.
As we enter a new year, Pearl reflects on the steady, layered work behind real progress—deepening our platform, expanding our network, and building the people and systems needed to scale proactive, value-based care.
Following a new Executive Order, HHS has issued a sweeping RFI on healthcare AI—inviting stakeholders to shape future regulation, reimbursement, and governance at a critical, formative moment for clinical AI adoption.
Alana Levy, Director of Product Management at Pearl Health, shares how her marathon mindset shapes her approach to building tools for primary care providers. From platform evolution to patient-centered AI, she reflects on how progress—not perfection—drives lasting impact in healthcare.
ACCESS is a new Medicare model emphasizing outcomes-based, tech-enabled chronic care. It ties payments to patient-level improvement, supports proactive digital engagement, and offers providers a low-risk pathway to modern value-based care.
Pearl Health redefines automation in healthcare—freeing clinicians from repetitive tasks through intelligent systems that enhance efficiency, accuracy, and proactive care. By combining automation with AI, Pearl empowers providers to deliver smarter, more human-centered healthcare.
Partner with Pearl to unlock new value, empower your teams, and deliver better outcomes for the patients who need you most.
Have questions? Let’s connect—or we’ll run the numbers for you.
Powering the Future of Healthcare
info@pearlhealth.com
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