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New Comorbidity Tool Aims to Predict Hospital Costs Earlier
Key Takeaways
- Researchers created CCHA, a 38-condition measure designed to quantify comorbidity burden.
- In six years of data from more than 27,000 people, the model outperformed other methods for predicting unplanned hospitalization.
- The study also found the tool could predict health care costs over the following five years.
- Authors say earlier identification of high-need patients could help justify longer visits and added stabilizing services.
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DT Editorial Team··via medicalxpress.com