Clinical Implementation

Feasibility studies have been approved and registered to test interfaces and clinical effects of prediction-based decision support. The study was internally validated but not externally validated, so caution is needed before use in other s…

3 sources - 14 claims

Feasibility studies have been approved and registered to test interfaces and clinical effects of prediction-based decision support. The study was internally validated but not externally validated, so caution is needed before use in other settings. Real-world validation is required before deploying synthetic data-improved models. The Pee-in-Pot devices were stored upside down in a closed container in a clean treatment room during the study. The models should not be used for acute paresis caused by LDH or other urgent surgical situations. The intended use setting is Norwegian specialist healthcare, but safety, performance, and clinical effectiveness remain untested in clinical trials. Deployment would require local data mapping, validation, and calibration. The study findings should not be assumed to apply where storage, handling or governance processes differ substantially without monitoring. The authors recommend microbiological monitoring where the Pee-in-Pot is adopted. The authors aim to integrate NORspine questionnaires and prediction-based decision support into Norwegian electronic health record systems. Potential interventions include transitional care planning, medication r…