Show pageBacklinksCite current pageExport to PDFBack to top This page is read only. You can view the source, but not change it. Ask your administrator if you think this is wrong. ===== Real-world validation ===== **Real-world [[validation]]** refers to the process of evaluating a [[model]], [[intervention]], [[device]], or [[strategy]] under actual usage conditions, outside of controlled or [[experimental]] [[setting]]s. ==== Common contexts ==== * **Medicine**: Validation of clinical scores (e.g., [[HERMES-24 Score]]) using real-world data from hospital records or patient registries. * **Artificial Intelligence**: Testing models on noisy, unstructured, or biased data typically encountered in operational environments. * **Pharmaceuticals**: Post-marketing studies to confirm drug efficacy and safety in broader, more diverse populations. * **Engineering**: Field testing of devices, software, or systems under variable and realistic conditions. ==== Comparison with controlled validation ==== ^ Feature ^ Controlled Validation ^ Real-world Validation ^ | Environment | Laboratory or clinical trial | Routine clinical practice or real conditions | | Data | Clean, selected | Noisy, heterogeneous, and complex | | Objective | Internal validity | External validity (generalizability) | real-world_validation.txt Last modified: 2025/07/04 15:48by administrador