Population Health Analytics
Measuring Impact in Population Health
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Population Health Management & Improvement |
Risk Stratification & Population Segmentation
Health care organizations face mounting pressure to improve patient outcomes while managing escalating costs — making it essential to clearly demonstrate both impact and value.
Population health analytics play a critical role in supporting ROI measurement. With deeper insight into not just whether an intervention works — but why and for whom — organizations can refine implementation, target populations more precisely and allocate limited resources to the highest-value opportunities to improve population health.
A range of ROI methodologies can support this work. Organizations using the Johns Hopkins ACG® System have successfully demonstrated value using several methodologies — including case mix–adjusted comparison groups, relative rate reductions and more.
Our new ROI Guide explores these methodologies and illustrates how they can be applied in practice. Featuring real-world use cases from ACG System users, the guide highlights how rigorous, scalable ROI measurement can be achieved across a variety of settings and interventions.
Download this new resource to learn more about ROI methodologies — and how they can support more informed, value-driven decision-making.
To learn more about how the ACG System can support your organization, visit hopkinsacg.org or contact us at acginfo@jh.edu. If you are a current ACG System customer, please reach out to your Account Manager.
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