@ShahidNShah
Population risk stratification (RS) tools have been proposed to tailor interventions, prioritize resources, and proactively manage high-risk individuals with chronic diseases in primary care settings. This study aims to explore the available evidence on the use of population RS tools in primary care settings, specifically evaluating the impact of targeted interventions based on RS tools on selected chronic patients and healthcare utilization outcomes.
Population risk stratification can help U.S. primary care providers identify high-risk patients earlier, enabling more proactive management of chronic diseases and reducing preventable hospitalizations. As healthcare shifts toward value-based care, integrating risk prediction tools with coordinated interventions could improve outcomes while lowering long-term healthcare costs.
Continue reading at link.springer.com
This multicentre, non-randomized, quasi-experimental study evaluated the effectiveness of the ADLIFE digital toolbox—comprising clinical decision support, care-plan management, and patient …
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