Articles

Could Digital Twins Help States and Health Plans Model Future LTSS Demand? Planning Capacity, Funding and Community Support
Digital twins could help state Medicaid agencies, health plans and long-term services and supports providers anticipate future demand before workforce shortages, service gaps and funding pressures become critical. This flagship analysis examines how scenario modeling could connect population needs, HCBS capacity, Medicaid financing, provider networks and participant outcomes, while addressing data quality, governance, equity and the limitations of predictive technology. Read more...
The Future of LTSS: Can Community-Based Care Keep Pace With an Aging America?
America's aging population is increasing pressure on long-term services and supports, but expanding community-based care requires more than shifting spending away from institutions. This flagship analysis examines Medicaid financing, HCBS capacity, workforce sustainability, managed care, family caregiving and the operational realities of aging at home. It explores how states, health plans and providers can build more resilient, equitable and accountable LTSS systems over the coming decade. Read more...
Can States and Health Plans Predict Provider Failure Before Collapse in U.S. Community-Based Care?
Provider collapse rarely begins on the day services stop. This flagship analysis examines how Medicaid agencies, health plans and community-based care systems could combine financial, workforce, quality, access and operational intelligence to identify provider instability earlier, distinguish temporary pressure from systemic deterioration, and protect continuity without replacing proportionate oversight with automated prediction. Read more...
The Future of Market Shaping Through Predictive Analytics
Community-based care markets are often managed through evidence of what has already happened. This flagship analysis examines how predictive analytics could help Medicaid agencies, health plans and provider systems anticipate emerging capacity gaps, workforce pressures and changing population needs, then shape more resilient, equitable and responsive provider markets without allowing algorithms to determine individual access or provider opportunity. Read more...
Predictive Commissioning and the Future of Public Service Planning in U.S. Community-Based Care
Public service planning is moving beyond retrospective demand and expenditure toward earlier intelligence about need, capacity and system pressure. This flagship analysis examines how U.S. Medicaid agencies, managed care organizations and human services systems can use predictive commissioning to connect population need, provider capacity, workforce, funding, quality and equity while retaining accountable human judgment. Read more...
Predictive Commissioning in Community-Based Care: Using Data to Anticipate Demand, Risk and System Pressure
Predictive commissioning can help Medicaid agencies, MCOs, counties, funders and community-based providers anticipate demand, identify emerging risks and strengthen system performance. This article explores how data, AI, dashboards and governance can support earlier intervention across HCBS, LTSS, IDD, behavioral health and human services. Read more...
AI Predicting Hospitalization Risk: How Predictive Analytics Could Transform Prevention, Care Coordination, and System Performance
AI-powered hospitalization risk prediction could help U.S. healthcare systems identify deterioration earlier, strengthen care coordination, reduce avoidable utilization, and improve population health oversight. Read more...
Dynamic HCBS Funding Tiers That Adjust As Individual Needs Change Over Time
Many HCBS funding models struggle when support needs increase or decrease between reassessments. This article explores dynamic funding tiers that respond to changing complexity while maintaining accountability, stability, and outcome-focused decision-making. Read more...
Capitated Integrated Funding Pilots: How to Manage Population-Based Budgets Without Under-Service, Risk Dumping, or Financial Instability
Capitated integrated funding pilots allocate a fixed per-person budget to deliver coordinated care across multiple services. This article explains how these models operate in practice, how providers manage financial and clinical risk, and what funders require to ensure quality, access, and accountability are maintained. Read more...
Transport, Escort, and Logistics Delays in Crisis Care: The Overlooked Bottleneck in System Capacity and Flow
Crisis pathways often stall not because services are unavailable, but because transport, escorts, medication supply, and arrival logistics are poorly coordinated. This article explains how commissioners and providers reduce non-clinical delay, improve safe movement between settings, and recover effective system capacity by treating logistics as a core part of pathway design. Read more...
Handoff Reliability in Crisis Pathways: How Better Transfers Increase System Capacity Without Adding Beds
Crisis systems lose capacity when handoffs between mobile crisis, emergency departments, stabilization units, and community providers are inconsistent or incomplete. This article explains how commissioners and providers improve transfer reliability, reduce duplication, and protect flow by treating handoff quality as core capacity infrastructure rather than an administrative afterthought. Read more...
Measuring Real Crisis Capacity: Why Bed Counts Alone Mislead Commissioners
Crisis systems often report bed numbers as their primary capacity metric. However, bed counts rarely reflect true system performance. This article explains how commissioners measure operational capacity through throughput, discharge reliability, and pathway coordination rather than infrastructure alone. Read more...