Articles

What Will a High-Performing Community-Based Care Organization Look Like in 2035? The Future of US Services
By 2035, high-performing community-based care organizations may be defined less by the volume of services delivered and more by their ability to demonstrate continuity, independence, equitable access and sustainable outcomes. This flagship analysis examines how Medicaid policy, payment models, workforce redesign, digital infrastructure, governance and person-centered practice could reshape US HCBS, LTSS, disability and behavioral health organizations over the coming decade. Read more...
Agentic AI in HCBS: Where Could Autonomous Digital Systems Safely Fit?
Agentic AI could move community-based care technology beyond passive alerts and administrative automation toward systems capable of coordinating tasks, responding to changing conditions and initiating defined actions. For Medicaid HCBS providers, health plans and state agencies, the opportunity is significant—but so are the questions of consent, clinical authority, accountability, privacy and safety. This article examines where bounded autonomy may be useful, where human decisions remain essential and how organizations can govern responsible adoption. Read more...
Medicaid HCBS Access Rule: What Providers and State Systems Need to Prepare for Next
The Medicaid Access Rule is moving from federal regulation into phased operational implementation across HCBS. This flagship analysis examines the changing timetable for grievances, incident management, access reporting, quality measures and direct-care payment adequacy, and explains what state Medicaid agencies, providers, managed care partners and governance leaders should prepare, measure and evidence before the later requirements take effect. Read more...
Can AI Improve Mental Capacity Decision-Making Support Without Replacing Professional Judgment?
AI could help community-based care teams organize evidence, identify communication needs, surface inconsistencies and strengthen decision-specific capacity support. But in the United States, legal authority, informed consent, supported decision-making and guardianship vary by jurisdiction. This article examines how providers, health plans and state systems could use AI without allowing technology to displace autonomy, due process or accountable professional judgment. Read more...
The Future of Intelligent Commissioning: How Data Could Transform U.S. Community-Based Care
Commissioning decisions shape who receives support, which providers can sustain services and whether community-based systems can respond before capacity fails. This flagship analysis examines how U.S. Medicaid agencies, managed care organizations and other purchasers can use connected workforce, quality, access, utilization, provider and participant evidence to move toward more intelligent purchasing and oversight across HCBS, LTSS, IDD and behavioral health services. Read more...
The Next Generation of Governance: Moving from Audit to Anticipation in U.S. Community-Based Care
Traditional governance often tells boards what happened last month or last quarter. The next generation of governance will need to identify emerging pressure earlier. This flagship analysis examines how U.S. HCBS, LTSS, IDD and behavioral health organizations can move from retrospective audit toward anticipatory governance that connects workforce, quality, finance, participant experience, regulatory obligations and operational risk without replacing human judgment or state-specific accountability. Read more...
The Future of Risk Management in U.S. Community-Based Care: From Static Registers to Continuous Assurance
Traditional risk registers can record known concerns without showing how quickly operational conditions are changing. This flagship analysis examines how risk management across U.S. HCBS, LTSS, IDD and behavioral health services is evolving toward continuous assurance that connects workforce, quality, finance, rights, regulatory obligations, data and service continuity while preserving clear ownership, proportionate escalation and state-specific accountability. Read more...
When AI Helps Write the Proposal: Governance, Disclosure and Data Risk in U.S. Human Services Procurement
Generative AI is increasingly supporting proposal development, document review and evidence synthesis across U.S. health and human services, but its use can expose gaps between organizational AI policies and the tools used by employees, consultants and contractors. This flagship analysis examines procurement disclosure, federal and state variation, privacy, contractor governance, human verification and the controls providers need when AI supports an RFP response without becoming the source or authority behind it. Read more...
Real-Time Governance Dashboards for Adult Social Care: Continuous Assurance Across U.S. Community-Based Services
Governance dashboards are moving beyond retrospective monthly reporting toward faster visibility of risk, quality, workforce pressure and participant experience. This article examines how U.S. HCBS, LTSS, IDD and behavioral health organizations can build real-time governance dashboards that strengthen executive and board assurance, expose emerging deterioration, support corrective action and preserve human judgment without confusing more data with better governance. Read more...
The Future Operating Model for HCBS, LTSS and Community-Based Care Providers
Community-based care providers are operating across increasingly complex Medicaid, managed care, workforce, regulatory and cross-system environments. This article presents a practical future operating model for HCBS, LTSS, IDD, behavioral health and human services organizations, connecting governance, person-centered delivery, workforce intelligence, digital infrastructure, predictive quality assurance, financial resilience and continuous organizational learning. Read more...
From Compliance to Intelligence: The Next Generation of Quality Governance in Community-Based Care
Quality governance across HCBS, LTSS, IDD, behavioral health and other human services is moving beyond retrospective compliance checking. This pillar article explores how providers can connect operational data, workforce intelligence, participant experience, risk signals and accountable leadership to identify emerging problems earlier, verify improvement and build governance systems that support better decisions. Read more...
Strategic Workforce Planning in HCBS and Human Services: Building Workforce Capacity for the Next Decade
Explore how HCBS, IDD, behavioral health, LTSS, and human services organizations can develop strategic workforce planning models that strengthen recruitment, retention, resilience, leadership succession, workforce analytics, and long-term organizational sustainability. Read more...