This research introduces open-source AI tools that significantly improve healthcare horizon scanning efficiency by automating information retrieval and analysis from unstructured data sources.

• SCANAR automates retrieval and processing of news articles for early innovation signals
• AIDOC provides enhanced analysis capabilities for unstructured healthcare data
• Together, these tools overcome traditional challenges in timely innovation assessment
• Open-source Python implementation enables widespread adoption

For medical organizations, these tools represent a breakthrough in identifying emerging healthcare innovations earlier, enabling more strategic decision-making and potentially accelerating the adoption of beneficial technologies.

Horizon Scans can be accelerated using novel information retrieval and artificial intelligence tools