AI-assisted Fall Prevention Through Evidence
The goal of this multi-method study is to investigate how AI-assisted fall-prevention are implemented in routine hospital care what their effects are. The main questions it aims to answer are how these AI systems influence patient safety outcomes, how they affect healthcare professionals work and healthcare resource us
| Condition(s) | Fall |
|---|---|
| Status | Recruiting |
| Study type | Observational |
| Summary | The goal of this multi-method study is to investigate how AI-assisted fall-prevention are implemented in routine hospital care what their effects are. The main questions it aims to answer are how these AI systems influence patient safety outcomes, how they affect healthcare professionals work and healthcare resource use, and what factors support or hinder their sustainable integration into hospital environments. |
| Who can participate | Individual interviews with key actors in the implementation Inclusion criteria: 1. Be employed at one of the participating hospitals 2. Hold a role as a key stakeholder in the implementation work 3. Have experience with the implementation of the AI-assisted fall prevention 4. Have the ability to understand and communicate in Swedish Exclusion criteria: 1\. Have insufficient proficiency in Swedish to participate in an interview or observation and to understand the purpose and content of the study Individual interviews with managers Inclusion criteria: 1. Be employed as a manager at one of the participating hospitals 2. Have experience with the implementation or use of the AI-assisted fall prevention 3. Have the ability to understand and communicate in Swedish Exclusion criteria: 1\. Have in |
| Ages | 18 Years |
| Sex | All |
| Accepts healthy volunteers | Yes |
| Lead sponsor | Halmstad University |
| Locations | Gothenburg, Sweden |
| Start date | 2026-01-01 |
| NCT ID | NCT07503665 |
| Official listing | https://clinicaltrials.gov/study/NCT07503665 |