Articles

The Future of AI-Assisted Care Planning in Social Care Services
AI could reshape care planning across HCBS, LTSS, IDD and behavioral health by helping teams interpret complex information, identify changing needs and strengthen person-centered decisions. This flagship analysis examines where AI-assisted planning could add value, where human judgment must remain decisive, and how providers, Medicaid systems and health plans can govern emerging tools without allowing efficiency, prediction or automation to displace rights, relationships and individual choice. Read more...
The Next Phase of Medicaid Managed Care Access and Quality: What Providers Should Be Preparing For
Medicaid managed care is moving toward stronger evidence of whether provider networks deliver timely, usable and high-quality access in practice. This flagship analysis examines appointment wait-time standards, secret-shopper testing, payment transparency, quality oversight, state-directed payments and the operational evidence providers should be building as federal requirements move through state-specific implementation. Read more...
Medicaid Prior Authorization Is Changing: What 2026 and 2027 Mean for Providers, Plans and People Receiving Services
Prior authorization reform is moving from policy into operations. This flagship analysis examines the 2026 requirements for faster decisions, specific denial reasons and public performance reporting, the major FHIR API changes arriving in 2027, and what Medicaid agencies, managed care plans, providers and people receiving services should do now to turn regulatory change into faster, more transparent and better-governed access to care. 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...
What Could Medicaid Purchasing and Community-Based Care System Design Look Like in 2040?
By 2040, purchasing community-based care could look very different from today’s mix of fee-for-service reimbursement, managed care contracts, waivers and grant-funded programs. This flagship analysis examines how Medicaid agencies, health plans, providers and communities could use better population intelligence, payment design, provider-market stewardship and accountability to build more preventive, person-centered and sustainable systems. Read more...
When Routine Care Data Signals Wider Risk: Using Missed Calls, Delays and Unmet Need as Early-Warning Indicators
Missed visits, late support and unmet need can look like isolated operational problems, yet repeated patterns may reveal deteriorating capacity, safeguarding risk or failures across provider and payer systems. This flagship analysis examines how U.S. community-based care organizations can turn routine service-delivery data into earlier intelligence while preserving context, rights, accountability and human judgment. Read more...
Outcome Prediction Models in Adult Social Care Commissioning
Outcome prediction could change how U.S. community-based care systems evaluate services, allocate resources and identify where better outcomes may be achievable. This flagship analysis examines how Medicaid agencies, managed care organizations and providers can combine longitudinal, operational and person-reported evidence to forecast outcomes while protecting choice, equity and due process and avoiding the misuse of predictive models as automated eligibility or funding decisions. 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...
Predictive Quality Assurance for U.S. Supported Living and Community-Based Residential Services
Quality problems in supported living rarely begin with a single serious incident. This flagship analysis examines how U.S. HCBS providers, Medicaid agencies and managed care partners can connect workforce, incident, participant experience, service delivery, authorization and outcome data to identify deterioration earlier across supported living, shared living, host-home and other community-based residential models while preserving rights, human judgment and 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...
Can Technology Detect Service Failure Before Inspectors Do? Predictive Quality Intelligence in U.S. Community-Based Care
Traditional oversight often identifies service failure after deterioration has already affected people receiving support. This flagship analysis examines how predictive quality intelligence could combine workforce, incident, authorization, experience, operational and outcome signals to identify weakening services earlier across U.S. HCBS, LTSS, IDD and behavioral health systems—while preserving human judgment, rights, regulatory accountability and state-specific oversight. Read more...
Continuous Regulatory Readiness Through Automated Governance in U.S. Community-Based Care
Regulatory readiness in U.S. community-based care cannot be reduced to preparing for the next survey or payer audit. This flagship analysis examines how automated governance can connect regulatory obligations, workforce competence, incidents, documentation, corrective action and operational evidence across HCBS, LTSS, IDD and behavioral health services—creating continuous readiness while preserving state-specific requirements, human accountability and the rights of people receiving support. Read more...