ArticleJournal of healthcare informatics research2021
A Cross-Sectional Study to Predict Mortality for Medicare Patients Based on the Combined Use of HCUP Tools.
Article in Journal of healthcare informatics research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Abstract
Prediction of inpatient mortality is not an easy problem since multiple comorbidities and other factors in synergy have a variable effect on inpatient death risk. This research combined Healthcare Cost and Utilization Project (HCUP) tools (clinical classification software, CCS; Chronic Condition Indicator, CCI) to recommend a critical set of CCS diagnosis and procedure predictors for mortality. The study motivation is to provide the research community an up-to-date critical set of inhospital mortality predictors. The study follows a cross-sectional design. An inpatient CMS claims file (
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