Population health management
-
An estimated 425 million people globally have diabetes, accounting for 12% of the world's health expenditures, and yet 1 in 2 persons remain undiagnosed and untreated. Applications of artificial intelligence (AI) and cognitive computing offer promise in diabetes care. The purpose of this article is to better understand what AI advances may be relevant today to persons with diabetes (PWDs), their clinicians, family, and caregivers. ⋯ Many of these new AI-powered retinal imaging systems, predictive modeling programs, glucose sensors, insulin pumps, smartphone applications, and other decision-support aids are on the market today with more on the way. AI applications have the potential to transform diabetes care and help millions of PWDs to achieve better blood glucose control, reduce hypoglycemic episodes, and reduce diabetes comorbidities and complications. AI applications offer greater accuracy, efficiency, ease of use, and satisfaction for PWDs, their clinicians, family, and caregivers.
-
Emergency medical services (EMS) in the United States are frequently used for nonurgent medical needs. Use of 911 and the emergency department (ED) for primary care-treatable conditions is expensive, inefficient, and undesirable for patients and providers. The objective is to describe the outcomes from community paramedicine (CP) and mobile integrated health care (MIH) interventions related to the Quadruple Aim. ⋯ Most cost savings from reduced utilization will be to insurance companies and patients, but more efficient use of EMS agencies' resources could lead to cost savings that could offset intervention implementation costs. The other 3 aims (health, patient satisfaction, and provider satisfaction) were reported inconsistently in these studies and need to be addressed further. Given the small number of heterogeneous studies reviewed, the potential for CP-MIH interventions to comprehensively address the Quadruple Aim is still unclear, and more research on these programs is needed.
-
Socioeconomic disparities in access to care coordination have been noted among children with special health care needs (CSHCN). Following recent policy developments and technological innovation, care coordination has become more widespread, possibly leading to reduced disparity in care coordination access. This study investigates whether child and household characteristics remain associated with unmet need for care coordination among CSHCN. ⋯ After multivariable adjustment, race/ethnicity, income, family structure, insurance coverage, place of birth, and use of English in the home were not associated with having unmet rather than met needs for care coordination. Among CSHCN, the latest data from NSCH reveal no evidence of previously described socioeconomic disparities in access to care coordination. Nevertheless, unmet needs for care coordination remain prevalent, especially among children with mental health conditions.