On September 27th, we hosted an AI Deep Dive Session with Dr. Adam Wright from Vanderbilt University Medical Center, where we explored the use of AI and machine learning to enhance the usability and safety of electronic health records (EHRs). Dr. Wright led a discussion on how screen captures and video recordings of EHR interactions can be analyzed using AI to detect usability issues and safety concerns in real-time.
Highlights:
- Purpose: The session examined how AI can be used to analyze video data from EHR interactions to identify common usability challenges and safety risks.
- Focus Areas: We discussed current research in video-based usability analysis and explored how automated systems could support healthcare providers in improving their EHR workflows.
- AI Applications: Participants brainstormed potential AI-driven solutions to make EHR systems more user-friendly and safer for healthcare professionals and patients alike.
Session Insights:
- Experts in health informatics and AI shared cutting-edge techniques for analyzing EHR data using video and AI tools.
- The session fostered collaboration among faculty, students, and other attendees interested in health informatics, machine learning, and video analysis.
- We discussed exciting opportunities for future research in the growing field of AI-enhanced EHR usability.
Conclusion:
The AI Deep Dive with Dr. Adam Wright showcased the vital role AI can play in making healthcare systems more efficient and safer. This session provided a unique opportunity for those interested in health informatics and real-world AI applications to engage in meaningful discussion and collaboration.
Are you interested in hosting a future AI Deep Dive? Contact us at datascience@vanderbilt.edu.