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. 2021 Aug 3;11(8):e044964. doi: 10.1136/bmjopen-2020-044964

Table 1.

Quality dimensions of readmission risk prediction models

Dimension Key domain Description of barrier
Development Validation Inadequate validation causing poor model discrimination when generalised
Features Over-reliance on biomedical features from administrative and claims data
Timeframe Possibility that the 30-day timeframe is not optimal for accurate prediction
Data access Dependence on inaccessible, low quality, outdated or manually entered data
Implementation Resources Insufficient personnel, statistical expertise or financial resources
Vision Lack of leadership, purpose or policy priorities related to readmission prediction
Clinical relevance Unclear clinical utility, actionability or relevance
Workflow integration Poor integration into the clinical workflow
Maintenance Inadequate maintenance or continuous improvement