
Sign up to save your podcasts
Or


If you’ve ever felt like “one big AI” can’t possibly handle the complexity of healthcare, you’re not alone. Clinical work moves in too many directions for a single model to reliably keep up.
In this interview, Jacob Sims, Chief Technology Officer at NextGen Healthcare, explains why they have taken the approach of coordinated teams of specialized AI agents and what that means for clinicians, IT teams, and product leaders. Sims breaks down the thinking behind Nia™, how fairness shapes their AI design, and why everyday experimentation drives more progress than any formal training program. He also shares real examples like a 40 percent reduction in case resolution time thanks to AI-assisted log analysis
🔔 Subscribe for more great interviews with Health IT leaders.
Learn more about NextGen Healthcare at https://www.nextgen.com
Find more great health IT content at https://www.healthcareittoday.com/
By John Lynn4.5
22 ratings
If you’ve ever felt like “one big AI” can’t possibly handle the complexity of healthcare, you’re not alone. Clinical work moves in too many directions for a single model to reliably keep up.
In this interview, Jacob Sims, Chief Technology Officer at NextGen Healthcare, explains why they have taken the approach of coordinated teams of specialized AI agents and what that means for clinicians, IT teams, and product leaders. Sims breaks down the thinking behind Nia™, how fairness shapes their AI design, and why everyday experimentation drives more progress than any formal training program. He also shares real examples like a 40 percent reduction in case resolution time thanks to AI-assisted log analysis
🔔 Subscribe for more great interviews with Health IT leaders.
Learn more about NextGen Healthcare at https://www.nextgen.com
Find more great health IT content at https://www.healthcareittoday.com/

9 Listeners

54 Listeners

6,122 Listeners

0 Listeners

6 Listeners