In this third episode of a series of three weeks of HimssCast, we talk again with the director of the UNC Health System for Greg Kuhnen Analytical System. This time, his colleague Ram Rimal, Director of Data Science Engineering of the United Nations University joined him.
KUHNEN and Rimal discusses advice and best practices for effective and effective publication of artificial intelligence – AI Tollyth, LLMS models, predictive and more predictive models. They discuss how UNC Health guarantees the adoption of responsible artificial intelligence tools, and how Analysis maturity evaluation form Help the health system on that trip.
As you hear? Subscribe to the podcast on Apple podcastand Spotify or Amazon music.
Hadith points:
-
How to use UNC AI, and where do you find most of success
-
The regions and cases where they are used early
-
Operating and administrative uses of automation, opposite clinical applications
-
How to work to ensure the adoption of responsible artificial intelligence tools
-
How Amnesty International projects are offered and expanded
-
Early lessons learned along the way, challenges and successes
-
Using cases of artificial intelligence did not follow, but she looks forward to the road
-
How HISS Analytics, which focuses on actual time and AI prediction in stage 6, is useful on this trip
More about this episode:
HIMSSCAST: The Basics of Data Governance – Lessons from UC Health, Part 1
HIMSSCAST: The Basics of Data Governance – Lessons from UC Health, Part 2
UNC Health Care subscribes to how it reaches the maturity of peak analyzes
UNC Health reaches stage 7 with the advanced EMR capabilities
UNC Health talks of artificial intelligence with EPIC and Microsoft
UNC Health Analysis Officer says that the responsible judgment is now necessary.
Creating a path to sustainable artificial intelligence
At Himss24 APAC, the adoption model occurs to mature the analyzes
The new HIMSS Analytics Assessment model supports smart artificial intelligence spread
