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This is a Quantitative Study study.

Balancing case mix risk: The role of cancer type mix on savings in total cost of care models.

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Cancer type mix accounts for 40.6% of savings variance in the OCM model compared to 5.8% in the EOM model, emphasizing its importance.
The study analyzed 1.5 million episodes from Medicare data, assessing the financial impact of different cancer types on healthcare costs.
Linear regression analyses were used to examine the relationship between cancer type mix and savings across different models.
This research underscores the need for continuous improvement in total cost of care models to better handle case mix variability.

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Analysis reveals cancer type significantly influences savings in total cost of care models, highlighting predictive challenges for physician groups.

Indurlal et al. (2025) studied this question.

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Analysis reveals cancer type significantly influences savings in total cost of care models, highlighting predictive challenges for physician groups.