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| Data access | Dependence on inaccessible, low quality, outdated or manually entered data | |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 |