The American journal of managed care
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The relatively few examples of commercially funded condition-specific bundled payments provide insights into how to spread this alternative payment model further in the private insurance market.
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To evaluate the utility of machine learning (ML) for the management of Medicare beneficiaries at risk of severe respiratory infections in community and postacute settings by (1) identifying individuals in a community setting at risk of infections resulting in emergent hospitalization and (2) matching individuals in a postacute setting to skilled nursing facilities (SNFs) that are likely to reduce the risk of infections. ⋯ Precision management through personalized and predictive ML offers the opportunity to reduce the burden of outbreaks of respiratory infections. In the community setting, ML can identify vulnerable subpopulations at highest risk of severe infections. In postacute settings, ML can inform patient choices by matching beneficiaries to SNFs likely to reduce future risk.
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In the midst of the coronavirus disease 2019 (COVID-19) pandemic, health care leaders must work to optimize emergency department and hospital efficiency while maintaining patient access to care.
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Randomized Controlled Trial
Effect of a patient activation intervention on hypertension medication optimization: results from a randomized clinical trial.
To examine the effect of a patient activation intervention with financial incentives to promote switching to a thiazide in patients with controlled hypertension using calcium channel blockers (CCBs). ⋯ This low-cost, low-intensity patient activation intervention resulted in increased rates of switching to a thiazide in those whose hypertension was controlled using another medication, suggesting that such interventions may be used to overcome medication optimization challenges, including clinical inertia.