Articles

Could AI Become a Care Coordinator? The Future of Human and Digital Support in U.S. Community-Based Care
AI could increasingly support navigation, information synthesis, follow-up and coordination across U.S. community-based care, but replacing human care coordinators is a very different proposition. This flagship analysis examines where AI could strengthen Medicaid HCBS, LTSS, IDD and behavioral health coordination, where human judgment and relationships remain indispensable, and what governance, rights, workforce and data safeguards an augmented model would require. Read more...
Predicting Deterioration After Hospital Discharge: How Early-Warning Data Could Prevent Crisis in Community-Based Care
Hospital discharge is a transition, not the end of risk. This flagship analysis examines how U.S. community-based care providers, health plans and system partners can connect clinical, functional, behavioral, workforce and service-continuity signals to identify deterioration earlier, strengthen escalation and prevent avoidable crisis while preserving person-centered judgment. Read more...
Could AI Become a Care Coordinator? Using Artificial Intelligence to Prevent Avoidable Hospitalizations Before They Happen
Could AI help identify people at risk of avoidable hospitalization before crisis occurs? This article examines the future of predictive care coordination in HCBS and community-based care, exploring how AI-powered risk detection could help providers, health plans, and care teams identify deterioration earlier, prevent crisis escalation, and support better outcomes across complex populations. Read more...
Using Intake Risk Mapping to Prevent Crisis Escalation in Complex Community Care
Crisis prevention starts before the first shift begins. This article explains how complex care providers use intake risk mapping, escalation planning, staffing decisions, and governance review to identify hidden instability early and prevent avoidable crisis escalation. Read more...
Multi-Provider Data Sharing Agreements in Complex Care: Operationalizing HIPAA-Ready Governance Across Networks
Data sharing agreements fail when they are legal documents without operational workflows. This cornerstone guide explains how to build and run multi-provider data sharing agreements in complex care: roles, minimum necessary rules, BAAs, subcontractor controls, and audit mechanisms that keep information moving safely across networks. Read more...
Auditing Care Coordination in Complex Care: KPIs, Sampling, and Evidence Commissioners Can Trust
Complex care coordination becomes credible when providers can evidence it: what was shared, who acknowledged it, what actions followed, and whether outcomes improved. This cornerstone guide sets out an audit and KPI framework for cross-agency care coordination and information governance, designed for real operational use and defensible oversight. Read more...
Consent, Authority, and Decision Rights in Complex Care Coordination: Making Data Sharing Legally Sound and Operationally Usable
Complex care teams often hesitate to share information because they are unsure who can consent, what authority applies, and how to document decisions. This cornerstone guide provides an operational model for consent and decision rights that keeps care moving, protects privacy, and creates defensible records across agencies. Read more...
Data Quality Controls in Complex Care Coordination: Preventing Errors from Bad Demographics, Outdated Contacts, and Incomplete Clinical Summaries
Complex care coordination often fails for mundane reasons: the wrong phone number, an outdated medication list, or missing escalation contacts. This cornerstone guide explains how to implement data quality controls across agencies so critical information stays current, changes are authorized, and teams can evidence reliability to commissioners and oversight bodies. Read more...
Cross-Agency Handover Standards in High-Acuity Complex Care: Making Shift Change and Transitions Safe and Auditable
Many complex care failures happen during handover—between shifts, between agencies, or between settings like hospital, school, and home. This guide sets out a cross-agency handover standard that clarifies responsibility, controls information sharing, and creates an audit-ready trail. It includes operational templates, escalation triggers, and assurance checks. Read more...
Cross-Agency CAPA in Complex Care: Turning Incidents into Corrective Actions Without Blame or Delay
In complex care, incidents often repeat because learning stays inside one agency. This cornerstone guide explains how to run cross-agency corrective and preventive action (CAPA) so risks are owned, fixes are time-bound, and evidence is defensible. It focuses on day-to-day workflow, information governance guardrails, and commissioner-ready assurance. Read more...
Cross-Agency Care Plan Version Control in Complex Care: Preventing Conflicting Instructions and Unsafe Drift
Conflicting care plans across providers create real safety risk in high-acuity services. This guide explains how to implement cross-agency version control, change authorization, and reconciliation checkpoints so teams act from one current, defensible plan rather than outdated copies. Read more...
Closed-Loop Referral Management in High-Acuity Complex Care: Eliminating “Lost to Follow-Up” Across Agencies
In high-acuity complex care, referrals fail when responsibility is implied rather than owned. This guide sets out a closed-loop referral management model that tracks acknowledgement, acceptance, scheduling, and outcome confirmation across agencies. It focuses on operational workflow, escalation triggers, and audit-ready evidence that prevents people being lost to follow-up. Read more...