Using segmentation to address clinical and social needs for Medicaid patients with complex needs and costly utilization can improve the effectiveness of complex care programs.
Offers practical recommendations to improve telemedicine interventions to be more equitable for diverse populations, particularly those with low incomes.
Primary care and alternative payment models that reduce emergency department use and increase access to care for high-need populations share core components for success.
Use of machine learning clustering algorithms revealed 30 distinct subgroups of patients among high-risk veterans, indicating a need for tailored approaches to health care.
Providing virtual case mentoring to outpatient care teams may reduce unnecessary hospital and emergency department visits for high-need, high-cost patients.