Articles

Using Artificial Intelligence to Predict Hospital Admissions Before Crisis Occurs in U.S. Community-Based Care
Artificial intelligence could help community-based providers, Medicaid programs and health plans identify rising hospital admission risk before deterioration becomes a crisis. This flagship analysis examines how predictive intelligence can combine clinical, functional, utilization, medication, workforce and social signals while preserving human judgment, privacy, equity and person-centered decision-making across U.S. HCBS, LTSS and integrated care. 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...
Community Paramedicine for Missed Dialysis, Fluid Overload, and Home-Based Renal Risk Escalation
Missed dialysis and delayed renal follow-up often become 911 problems when fluid overload, weakness, transport barriers, and medication confusion build at home. This article explains how community paramedicine programs assess missed-treatment risk, identify unsafe home patterns, and create faster escalation pathways before avoidable ED use or admission becomes the default. Read more...
Community Paramedicine for Urinary Retention, Catheter Problems, and UTI-Related Repeat Calls: Building Safer Home-Based Escalation Pathways
Community paramedicine can reduce avoidable ED use for urinary retention, catheter issues, and recurring urinary complaints only when pain, drainage failure, infection signs, delirium risk, and follow-up access are assessed before the problem becomes acute. This article explains how programs build urinary and catheter-response workflows that improve safety, support continuity, and make non-transport decisions more clinically defensible. Read more...
Community Paramedicine for Wound Deterioration and Cellulitis Prevention: Reducing Repeat 911 Use Through Early Home Assessment and Escalation
Community paramedicine can reduce avoidable 911 use for wounds and cellulitis only when pain, drainage, redness progression, dressing failure, and access barriers are addressed before infection or mobility loss becomes an emergency. This article explains how programs build wound-response pathways that improve safety, support continuity, and make field disposition more clinically defensible. Read more...
Risk Stratification Models That Scale: How Community Services Maintain Safety, Prioritization, and Fair Access Across Growing Demand
A service model cannot scale safely without a clear and consistently applied approach to prioritizing risk. This article explains how community providers design and operationalize risk stratification models that remain reliable across sites, staff teams, and rising demand, ensuring that those most in need receive timely, appropriate support. Read more...
Acuity-Based Step-Up Protocols: Making Escalation Criteria Clear Across Home, Community, and Partner Teams
Step-up fails when escalation criteria are ambiguous, partner roles are unclear, and documentation cannot withstand review. This article explains how to design step-up protocols that align triage triggers, response options, and accountability across home-based staff, community providers, and system partners. Read more...
Making Triage Work After Hours: Escalation Standards, Crisis Routing, and “No Wrong Door” Response in Complex Care
After-hours triage is where complex care models are tested: families need fast decisions, staff need clear escalation routes, and clinicians need auditable oversight. This article explains how to design escalation standards, crisis routing workflows, and supervision controls that reduce avoidable ED use while maintaining safety, rights, and accountability. Read more...
Designing Acuity Pathways in Complex Care: Step-Up, Step-Down, and Safe Transitions Between Intensity Levels
Acuity pathways are only credible when they specify who changes the level of support, using what evidence, and how safety is maintained during transitions. This article sets out practical step-up and step-down rules, the governance controls that keep decisions consistent, and the operational evidence payers and oversight teams expect to see. Read more...
Building Data-Driven Risk Stratification Models That Translate Into Real-Time Triage Action
Risk stratification models in complex care must move beyond static scoring tools and drive real-time triage decisions. This article explores how predictive indicators, workflow integration, supervisory oversight, and measurable outcomes align to reduce crisis events, prevent avoidable hospital use, and strengthen payer confidence. Read more...
Designing High-Reliability Acuity Escalation Pathways in Community Complex Care
Risk stratification is only effective when escalation pathways are operationally reliable. This article examines how high-acuity triggers, escalation workflows, and cross-setting clinical coordination must function in day-to-day delivery to prevent avoidable deterioration, emergency utilization, and fragmented care transitions. Read more...