Innovations in Health Information Technology – NEHIMSS

About Session:

Track 1: 1:00 pm to 2:00 pm – Clinical Informatics

Harnessing AI Innovation in Healthcare: Transformative Applications and Future Directions 

Key Takeaways:

• Generative AI powered by LLMs is obviously the newest innovation in AI. We discussed the range of solutions currently being developed and some of the highlights. 
• Healthcare stakeholders have mixed reactions to the growth of AI. Some are embracing it while others are nervous about it.  
• In the last year, we’ve seen the most growth in AI implementation in areas such as radiology, pathology, and cardiology.  
• The EMR serves as both a facilitator and barrier to AI innovation in healthcare. We explored this topic in-depth during our discussion.  
• Hospitals face many challenges in AI implementation, including data privacy concerns, the need for technical expertise, and the cost of implementation.  
• AI has the potential to both enhance and detract from the work of clinicians. We discussed how AI might change the face of medicine.  
• GPT-4o’s ability to have real-time voice conversations with AI has huge implications for healthcare. We explored what this means for the future of healthcare services. 
• We ended our discussion by talking about what’s next in AI in the next 12-24 months and our favorite AI innovation in healthcare.