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In this study we created morbidity trajectories based on 3 years of claims data, and evaluated the impact of adding morbidity trajectories on the ability of risk-adjustment models in identifying high-cost cases.

Methods. It contained enrollment and claims files from a 1 random sample of Taiwan's population (?200 000 individuals). The enrollment files contained individual subscription information and demographic factors, including sex, date of birth and type of beneficiary (insured or dependent).